Merge branch 'master' into wts

config/openalpr.conf

@@ -41,11 +41,11 @@ max_plate_angle_degrees = 15
 ocr_min_font_point = 6
 
 ; Minimum OCR confidence percent to consider.
-postprocess_min_confidence = 60
+postprocess_min_confidence = 65
 
 ; Any OCR character lower than this will also add an equally likely
 ; chance that the character is incorrect and will be skipped.  Value is a confidence percent
-postprocess_confidence_skip_level = 75
+postprocess_confidence_skip_level = 80
 
 ; Reduces the total permutations to consider for scoring.
 postprocess_max_substitutions = 2
@@ -73,11 +73,11 @@ pause_on_frame	= 0
 
 [us]
 
-; 30-50, 40-60, 50-70, 60-80, 70-90
+; 30-50, 40-60, 50-70, 60-80
 char_analysis_min_pct = 0.30
 char_analysis_height_range = 0.20
 char_analysis_height_step_size = 0.10
-char_analysis_height_num_steps = 5
+char_analysis_height_num_steps = 4
 
 segmentation_min_box_width_px = 4
 segmentation_min_charheight_percent = 0.5;
@@ -106,11 +106,11 @@ ocr_language = lus
 
 [eu]
 
-; 35-50; 45-60, 55-70, 65-80, 75-90, 85-100
+; 35-50; 45-60, 55-70, 65-80, 75-90
 char_analysis_min_pct = 0.35
 char_analysis_height_range = 0.15
 char_analysis_height_step_size = 0.10
-char_analysis_height_num_steps = 6
+char_analysis_height_num_steps = 5
 
 segmentation_min_box_width_px = 5
 segmentation_min_charheight_percent = 0.4;

src/main.cpp

@@ -154,7 +154,7 @@ int main( int argc, const char** argv )
     while (cap.read(frame))
     {
       detectandshow(&alpr, frame, "", outputJson);
-      cv::waitKey(1);
+      usleep(1000);
       framenum++;
     }
   }
@@ -177,7 +177,8 @@ int main( int argc, const char** argv )
         detectandshow( &alpr, latestFrame, "", outputJson);
       }
       
-      cv::waitKey(10);
+      // Sleep 10ms
+      usleep(10000);
     }
     
     videoBuffer.disconnect();
@@ -205,7 +206,7 @@ int main( int argc, const char** argv )
 
         detectandshow( &alpr, frame, "", outputJson);
         //create a 1ms delay
-        cv::waitKey(1);
+        usleep(1000);
         framenum++;
       }
     }

src/misc_utilities/benchmark/benchmark.cpp

@@ -104,6 +104,8 @@ int main( int argc, const char** argv )
         plateCoords.y = 0;
         plateCoords.width = frame.cols;
         plateCoords.height = frame.rows;
+	
+	PipelineData pipeline_data(frame, plateCoords, config);
 
         char statecode[3];
         statecode[0] = files[i][0];
@@ -111,7 +113,7 @@ int main( int argc, const char** argv )
         statecode[2] = '\0';
         string statecodestr(statecode);
 
-        CharacterRegion charRegion(frame, config);
+        CharacterRegion charRegion(&pipeline_data);
 
         if (abs(charRegion.getTopLine().angle) > 4)
         {
@@ -124,10 +126,11 @@ int main( int argc, const char** argv )
           warpAffine( frame, rotated, rot_mat, frame.size() );
 
           rotated.copyTo(frame);
+	  pipeline_data.crop_gray = frame;
         }
 
-        CharacterSegmenter charSegmenter(frame, charRegion.thresholdsInverted(), config);
+        CharacterSegmenter charSegmenter(&pipeline_data);
-        ocr->performOCR(charSegmenter.getThresholds(), charSegmenter.characters);
+        ocr->performOCR(&pipeline_data);
         ocr->postProcessor->analyze(statecode, 25);
 
         cout << files[i] << "," << statecode << "," << ocr->postProcessor->bestChars << endl;
@@ -211,27 +214,30 @@ int main( int argc, const char** argv )
 
         for (int z = 0; z < regions.size(); z++)
         {
+	  
+	  PipelineData pipeline_data(frame, regions[z].rect, &config);
+	  
           getTime(&startTime);
-          char temp[5];
+	  
-          stateIdentifier.recognize(frame, regions[z].rect, temp);
+          stateIdentifier.recognize(&pipeline_data);
           getTime(&endTime);
           double stateidTime = diffclock(startTime, endTime);
           cout << "\tRegion " << z << ": State ID time: " << stateidTime << "ms." << endl;
           stateIdTimes.push_back(stateidTime);
 
           getTime(&startTime);
-          LicensePlateCandidate lp(frame, regions[z].rect, &config);
+          LicensePlateCandidate lp(&pipeline_data);
           lp.recognize();
           getTime(&endTime);
           double analysisTime = diffclock(startTime, endTime);
           cout << "\tRegion " << z << ": Analysis time: " << analysisTime << "ms." << endl;
 
-          if (lp.confidence > 10)
+          if (pipeline_data.plate_area_confidence > 10)
           {
             lpAnalysisPositiveTimes.push_back(analysisTime);
 
             getTime(&startTime);
-            ocr.performOCR(lp.charSegmenter->getThresholds(), lp.charSegmenter->characters);
+            ocr.performOCR(&pipeline_data);
             getTime(&endTime);
             double ocrTime = diffclock(startTime, endTime);
             cout << "\tRegion " << z << ": OCR time: " << ocrTime << "ms." << endl;

src/misc_utilities/classifychars.cpp

@@ -124,13 +124,14 @@ int main( int argc, const char** argv )
 
         imshow ("Original", frame);
 
+	PipelineData pipeline_data(frame, Rect(0, 0, frame.cols, frame.rows), &config);
         char statecode[3];
         statecode[0] = files[i][0];
         statecode[1] = files[i][1];
         statecode[2] = '\0';
         string statecodestr(statecode);
 
-        CharacterRegion regionizer(frame, &config);
+        CharacterRegion regionizer(&pipeline_data);
 
         if (abs(regionizer.getTopLine().angle) > 4)
         {
@@ -143,28 +144,29 @@ int main( int argc, const char** argv )
           warpAffine( frame, rotated, rot_mat, frame.size() );
 
           rotated.copyTo(frame);
+	  pipeline_data.crop_gray = rotated;
         }
 
-        CharacterSegmenter charSegmenter(frame, regionizer.thresholdsInverted(), &config);
+        CharacterSegmenter charSegmenter(&pipeline_data);
 
         //ocr.cleanCharRegions(charSegmenter.thresholds, charSegmenter.characters);
 
-        ocr.performOCR(charSegmenter.getThresholds(), charSegmenter.characters);
+        ocr.performOCR(&pipeline_data);
         ocr.postProcessor->analyze(statecodestr, 25);
         cout << "OCR results: " << ocr.postProcessor->bestChars << endl;
 
-        vector<bool> selectedBoxes(charSegmenter.getThresholds().size());
+        vector<bool> selectedBoxes(pipeline_data.thresholds.size());
-        for (int z = 0; z < charSegmenter.getThresholds().size(); z++)
+        for (int z = 0; z < pipeline_data.thresholds.size(); z++)
           selectedBoxes[z] = false;
 
         int curDashboardSelection = 0;
 
-        vector<char> humanInputs(charSegmenter.characters.size());
+        vector<char> humanInputs(pipeline_data.charRegions.size());
 
-        for (int z = 0; z < charSegmenter.characters.size(); z++)
+        for (int z = 0; z < pipeline_data.charRegions.size(); z++)
           humanInputs[z] = ' ';
 
-        showDashboard(charSegmenter.getThresholds(), selectedBoxes, 0);
+        showDashboard(pipeline_data.thresholds, selectedBoxes, 0);
 
         char waitkey = (char) waitKey(50);
 
@@ -174,50 +176,50 @@ int main( int argc, const char** argv )
           {
             if (curDashboardSelection > 0)
               curDashboardSelection--;
-            showDashboard(charSegmenter.getThresholds(), selectedBoxes, curDashboardSelection);
+            showDashboard(pipeline_data.thresholds, selectedBoxes, curDashboardSelection);
           }
           else if (waitkey == RIGHT_ARROW_KEY) // right arrow key
           {
-            if (curDashboardSelection < charSegmenter.getThresholds().size() - 1)
+            if (curDashboardSelection < pipeline_data.thresholds.size() - 1)
               curDashboardSelection++;
-            showDashboard(charSegmenter.getThresholds(), selectedBoxes, curDashboardSelection);
+            showDashboard(pipeline_data.thresholds, selectedBoxes, curDashboardSelection);
           }
           else if (waitkey == DOWN_ARROW_KEY)
           {
-            if (curDashboardSelection + DASHBOARD_COLUMNS <= charSegmenter.getThresholds().size() - 1)
+            if (curDashboardSelection + DASHBOARD_COLUMNS <= pipeline_data.thresholds.size() - 1)
               curDashboardSelection += DASHBOARD_COLUMNS;
-            showDashboard(charSegmenter.getThresholds(), selectedBoxes, curDashboardSelection);
+            showDashboard(pipeline_data.thresholds, selectedBoxes, curDashboardSelection);
           }
           else if (waitkey == UP_ARROW_KEY)
           {
             if (curDashboardSelection - DASHBOARD_COLUMNS >= 0)
               curDashboardSelection -= DASHBOARD_COLUMNS;
-            showDashboard(charSegmenter.getThresholds(), selectedBoxes, curDashboardSelection);
+            showDashboard(pipeline_data.thresholds, selectedBoxes, curDashboardSelection);
           }
           else if (waitkey == ENTER_KEY)
           {
-            vector<char> tempdata = showCharSelection(charSegmenter.getThresholds()[curDashboardSelection], charSegmenter.characters, statecodestr);
+            vector<char> tempdata = showCharSelection(pipeline_data.thresholds[curDashboardSelection], pipeline_data.charRegions, statecodestr);
-            for (int c = 0; c < charSegmenter.characters.size(); c++)
+            for (int c = 0; c < pipeline_data.charRegions.size(); c++)
               humanInputs[c] = tempdata[c];
           }
           else if (waitkey == SPACE_KEY)
           {
             selectedBoxes[curDashboardSelection] = !selectedBoxes[curDashboardSelection];
-            showDashboard(charSegmenter.getThresholds(), selectedBoxes, curDashboardSelection);
+            showDashboard(pipeline_data.thresholds, selectedBoxes, curDashboardSelection);
           }
           else if (waitkey == 's' || waitkey == 'S' || waitkey == 'W')
           {
             if (waitkey == 'W')
             {
               selectedBoxes[curDashboardSelection] = true;
-              showDashboard(charSegmenter.getThresholds(), selectedBoxes, curDashboardSelection);
+              showDashboard(pipeline_data.thresholds, selectedBoxes, curDashboardSelection);
               const std::string& ocr_str = ocr.postProcessor->bestChars;
               humanInputs.assign(ocr_str.begin(), ocr_str.end());
             }
 
             bool somethingSelected = false;
             bool chardataTagged = false;
-            for (int c = 0; c < charSegmenter.getThresholds().size(); c++)
+            for (int c = 0; c < pipeline_data.thresholds.size(); c++)
             {
               if (selectedBoxes[c])
               {
@@ -225,7 +227,7 @@ int main( int argc, const char** argv )
                 break;
               }
             }
-            for (int c = 0; c < charSegmenter.characters.size(); c++)
+            for (int c = 0; c < pipeline_data.charRegions.size(); c++)
             {
               if (humanInputs[c] != ' ')
               {
@@ -236,18 +238,18 @@ int main( int argc, const char** argv )
             // Save
             if (somethingSelected && chardataTagged)
             {
-              for (int c = 0; c < charSegmenter.characters.size(); c++)
+              for (int c = 0; c < pipeline_data.charRegions.size(); c++)
               {
                 if (humanInputs[c] == ' ')
                   continue;
 
-                for (int t = 0; t < charSegmenter.getThresholds().size(); t++)
+                for (int t = 0; t < pipeline_data.thresholds.size(); t++)
                 {
                   if (selectedBoxes[t] == false)
                     continue;
 
                   stringstream filename;
-                  Mat cropped = charSegmenter.getThresholds()[t](charSegmenter.characters[c]);
+                  Mat cropped = pipeline_data.thresholds[t](pipeline_data.charRegions[c]);
                   filename << outDir << "/" << humanInputs[c] << "-" << t << "-" << files[i];
                   imwrite(filename.str(), cropped);
                   cout << "Writing char image: " << filename.str() << endl;

src/misc_utilities/sortstate.cpp

@@ -79,31 +79,26 @@ int main( int argc, const char** argv )
         cout << fullpath << endl;
         frame = imread( fullpath.c_str() );
 
-        char code[4];
+	PipelineData pipeline_data(frame, Rect(0, 0, frame.cols, frame.rows), &config);
-        int confidence = identifier.recognize(frame, code);
+        identifier.recognize(&pipeline_data);
 
-        if (confidence <= 20)
+        if (pipeline_data.region_confidence <= 20)
         {
-          code[0] = 'z';
+	  pipeline_data.region_code = 'zz';
-          code[1] = 'z';
+          pipeline_data.region_confidence = 100;
-          confidence = 100;
         }
-
+        else
-        //imshow("Plate", frame);
+	{
-        if (confidence > 20)
+          cout << pipeline_data.region_confidence << " : " << pipeline_data.region_code;
-        {
-          cout << confidence << " : " << code;
 
           ostringstream convert;   // stream used for the conversion
           convert << i;      // insert the textual representation of 'Number' in the characters in the stream
 
-          string copyCommand = "cp \"" + fullpath + "\" " + outDir + code + convert.str() + ".png";
+          string copyCommand = "cp \"" + fullpath + "\" " + outDir + pipeline_data.region_code + convert.str() + ".png";
           system( copyCommand.c_str() );
           waitKey(50);
           //while ((char) waitKey(50) != 'c') { }
         }
-        else
-          waitKey(50);
       }
     }
   }

src/openalpr/CMakeLists.txt

@@ -16,11 +16,12 @@ set(lpr_source_files
  binarize_wolf.cpp
  platelines.cpp
  characterregion.cpp
- charactersegmenter.cpp
+ segmentation/charactersegmenter.cpp
+ segmentation/verticalhistogram.cpp
  platecorners.cpp
  colorfilter.cpp
  characteranalysis.cpp
- verticalhistogram.cpp
+ pipeline_data.cpp
  trex.c
  cjson.c
 )

src/openalpr/alpr_impl.cpp

@@ -146,7 +146,9 @@ AlprFullDetails AlprImpl::recognizeFullDetails(cv::Mat img)
 
     
     displayImage(config, "Main Image", img);
-    cv::waitKey(1);
+    
+    // Sleep 1ms
+    usleep(1000);
     
   }
   
@@ -186,17 +188,17 @@ void plateAnalysisThread(void* arg)
     if (dispatcher->config->debugGeneral)
       cout << "Thread: " << tthread::this_thread::get_id() << " loop " << ++loop_count << endl;
       
-    Mat img = dispatcher->getImageCopy();
+    PipelineData pipeline_data(dispatcher->getImageCopy(), plateRegion.rect, dispatcher->config);
     
     timespec platestarttime;
     getTime(&platestarttime);
     
-    LicensePlateCandidate lp(img, plateRegion.rect, dispatcher->config);
+    LicensePlateCandidate lp(&pipeline_data);
     
     lp.recognize();
 
     
-    if (lp.confidence <= 10)
+    if (pipeline_data.plate_area_confidence <= 10)
     {
       // Not a valid plate
       // Check if this plate has any children, if so, send them back up to the dispatcher for processing
@@ -213,14 +215,14 @@ void plateAnalysisThread(void* arg)
       
       for (int pointidx = 0; pointidx < 4; pointidx++)
       {
-	plateResult.plate_points[pointidx].x = (int) lp.plateCorners[pointidx].x;
+	plateResult.plate_points[pointidx].x = (int) pipeline_data.plate_corners[pointidx].x;
-	plateResult.plate_points[pointidx].y = (int) lp.plateCorners[pointidx].y;
+	plateResult.plate_points[pointidx].y = (int) pipeline_data.plate_corners[pointidx].y;
       }
       
       if (dispatcher->detectRegion)
       {
 	char statecode[4];
-	plateResult.regionConfidence = dispatcher->stateIdentifier->recognize(img, plateRegion.rect, statecode);
+	plateResult.regionConfidence = dispatcher->stateIdentifier->recognize(&pipeline_data);
 	if (plateResult.regionConfidence > 0)
 	{
 	  plateResult.region = statecode;
@@ -230,7 +232,7 @@ void plateAnalysisThread(void* arg)
       
       // Tesseract OCR does not appear to be threadsafe
       dispatcher->ocrMutex.lock();
-      dispatcher->ocr->performOCR(lp.charSegmenter->getThresholds(), lp.charSegmenter->characters);
+      dispatcher->ocr->performOCR(&pipeline_data);
       dispatcher->ocr->postProcessor->analyze(plateResult.region, dispatcher->topN);
       const vector<PPResult> ppResults = dispatcher->ocr->postProcessor->getResults();
       dispatcher->ocrMutex.unlock();

src/openalpr/alpr_impl.h

@@ -30,13 +30,15 @@
 #include "regiondetector.h"
 #include "licenseplatecandidate.h"
 #include "stateidentifier.h"
-#include "charactersegmenter.h"
+#include "segmentation/charactersegmenter.h"
 #include "ocr.h"
 
 #include "constants.h"
 
 #include "cjson.h"
 
+#include "pipeline_data.h"
+
 #include <opencv2/core/core.hpp>
    
 

src/openalpr/characteranalysis.cpp

@@ -22,61 +22,40 @@
 using namespace cv;
 using namespace std;
 
-CharacterAnalysis::CharacterAnalysis(Mat img, Config* config)
+CharacterAnalysis::CharacterAnalysis(PipelineData* pipeline_data)
 {
-  this->config = config;
+  this->pipeline_data = pipeline_data;
+  this->config = pipeline_data->config;
 
   this->hasPlateMask = false;
 
   if (this->config->debugCharAnalysis)
     cout << "Starting CharacterAnalysis identification" << endl;
 
-  if (img.type() != CV_8U)
-    cvtColor( img, this->img_gray, CV_BGR2GRAY );
-  else
-  {
-    img_gray = Mat(img.size(), img.type());
-    img.copyTo(img_gray);
-  }
 }
 
 CharacterAnalysis::~CharacterAnalysis()
 {
-  for (int i = 0; i < thresholds.size(); i++)
+
-  {
-    thresholds[i].release();
-  }
-  thresholds.clear();
 }
 
 void CharacterAnalysis::analyze()
 {
-  thresholds = produceThresholds(img_gray, config);
+  pipeline_data->clearThresholds();
+  pipeline_data->thresholds = produceThresholds(pipeline_data->crop_gray, config);
 
-  /*
-    // Morph Close the gray image to make it easier to detect blobs
-    int morph_elem  = 1;
-    int morph_size = 1;
-    Mat element = getStructuringElement( morph_elem, Size( 2*morph_size + 1, 2*morph_size+1 ), Point( morph_size, morph_size ) );
 
-    for (int i = 0; i < thresholds.size(); i++)
-    {
-      //morphologyEx( mask, mask, MORPH_CLOSE, element );
-      morphologyEx( thresholds[i], thresholds[i], MORPH_OPEN, element );
-      //dilate( thresholds[i], thresholds[i],  element );
-    }
-  */
 
   timespec startTime;
   getTime(&startTime);
 
-  for (int i = 0; i < thresholds.size(); i++)
+  for (int i = 0; i < pipeline_data->thresholds.size(); i++)
   {
     vector<vector<Point> > contours;
     vector<Vec4i> hierarchy;
 
-    Mat tempThreshold(thresholds[i].size(), CV_8U);
+    Mat tempThreshold(pipeline_data->thresholds[i].size(), CV_8U);
-    thresholds[i].copyTo(tempThreshold);
+    pipeline_data->thresholds[i].copyTo(tempThreshold);
     findContours(tempThreshold,
                  contours, // a vector of contours
                  hierarchy,
@@ -97,9 +76,9 @@ void CharacterAnalysis::analyze()
 
   getTime(&startTime);
 
-  for (int i = 0; i < thresholds.size(); i++)
+  for (int i = 0; i < pipeline_data->thresholds.size(); i++)
   {
-    vector<bool> goodIndices = this->filter(thresholds[i], allContours[i], allHierarchy[i]);
+    vector<bool> goodIndices = this->filter(pipeline_data->thresholds[i], allContours[i], allHierarchy[i]);
     charSegments.push_back(goodIndices);
 
     if (config->debugCharAnalysis)
@@ -118,7 +97,7 @@ void CharacterAnalysis::analyze()
   if (hasPlateMask)
   {
     // Filter out bad contours now that we have an outer box mask...
-    for (int i = 0; i < thresholds.size(); i++)
+    for (int i = 0; i < pipeline_data->thresholds.size(); i++)
     {
       charSegments[i] = filterByOuterMask(allContours[i], allHierarchy[i], charSegments[i]);
     }
@@ -126,7 +105,7 @@ void CharacterAnalysis::analyze()
 
   int bestFitScore = -1;
   int bestFitIndex = -1;
-  for (int i = 0; i < thresholds.size(); i++)
+  for (int i = 0; i < pipeline_data->thresholds.size(); i++)
   {
     //vector<bool> goodIndices = this->filter(thresholds[i], allContours[i], allHierarchy[i]);
     //charSegments.push_back(goodIndices);
@@ -138,7 +117,7 @@ void CharacterAnalysis::analyze()
       bestFitScore = segmentCount;
       bestFitIndex = i;
       bestCharSegments = charSegments[i];
-      bestThreshold = thresholds[i];
+      bestThreshold = pipeline_data->thresholds[i];
       bestContours = allContours[i];
       bestHierarchy = allHierarchy[i];
       bestCharSegmentsCount = segmentCount;
@@ -181,7 +160,7 @@ void CharacterAnalysis::analyze()
 
   //charsegments = this->getPossibleCharRegions(img_threshold, allContours, allHierarchy, STARTING_MIN_HEIGHT + (bestFitIndex * HEIGHT_STEP), STARTING_MAX_HEIGHT + (bestFitIndex * HEIGHT_STEP));
 
-  this->linePolygon =  getBestVotedLines(img_gray, bestContours, bestCharSegments);
+  this->linePolygon =  getBestVotedLines(pipeline_data->crop_gray, bestContours, bestCharSegments);
 
   if (this->linePolygon.size() > 0)
   {
@@ -290,7 +269,7 @@ Mat CharacterAnalysis::findOuterBoxMask()
       }
     }
 
-    Mat mask = Mat::zeros(thresholds[winningIndex].size(), CV_8U);
+    Mat mask = Mat::zeros(pipeline_data->thresholds[winningIndex].size(), CV_8U);
 
     // get rid of the outline by drawing a 1 pixel width black line
     drawContours(mask, allContours[winningIndex],
@@ -334,7 +313,7 @@ Mat CharacterAnalysis::findOuterBoxMask()
 
     if (biggestContourIndex != -1)
     {
-      mask = Mat::zeros(thresholds[winningIndex].size(), CV_8U);
+      mask = Mat::zeros(pipeline_data->thresholds[winningIndex].size(), CV_8U);
 
       vector<Point> smoothedMaskPoints;
       approxPolyDP(contoursSecondRound[biggestContourIndex], smoothedMaskPoints, 2, true);
@@ -355,12 +334,12 @@ Mat CharacterAnalysis::findOuterBoxMask()
     if (this->config->debugCharAnalysis)
     {
       vector<Mat> debugImgs;
-      Mat debugImgMasked = Mat::zeros(thresholds[winningIndex].size(), CV_8U);
+      Mat debugImgMasked = Mat::zeros(pipeline_data->thresholds[winningIndex].size(), CV_8U);
 
-      thresholds[winningIndex].copyTo(debugImgMasked, mask);
+      pipeline_data->thresholds[winningIndex].copyTo(debugImgMasked, mask);
 
       debugImgs.push_back(mask);
-      debugImgs.push_back(thresholds[winningIndex]);
+      debugImgs.push_back(pipeline_data->thresholds[winningIndex]);
       debugImgs.push_back(debugImgMasked);
 
       Mat dashboard = drawImageDashboard(debugImgs, CV_8U, 1);
@@ -372,7 +351,7 @@ Mat CharacterAnalysis::findOuterBoxMask()
   }
 
   hasPlateMask = false;
-  Mat fullMask = Mat::zeros(thresholds[0].size(), CV_8U);
+  Mat fullMask = Mat::zeros(pipeline_data->thresholds[0].size(), CV_8U);
   bitwise_not(fullMask, fullMask);
   return fullMask;
 }

src/openalpr/characteranalysis.h

@@ -24,13 +24,13 @@
 #include "constants.h"
 #include "utility.h"
 #include "config.h"
-
+#include "pipeline_data.h"
 
 class CharacterAnalysis
 {
 
   public:
-    CharacterAnalysis(cv::Mat img, Config* config);
+    CharacterAnalysis(PipelineData* pipeline_data);
     virtual ~CharacterAnalysis();
 
     bool hasPlateMask;
@@ -54,7 +54,6 @@ class CharacterAnalysis
 
     bool thresholdsInverted;
 
-    std::vector<cv::Mat> thresholds;
     std::vector<std::vector<std::vector<cv::Point> > > allContours;
     std::vector<std::vector<cv::Vec4i> > allHierarchy;
     std::vector<std::vector<bool> > charSegments;
@@ -64,10 +63,9 @@ class CharacterAnalysis
     cv::Mat getCharacterMask();
 
   private:
+    PipelineData* pipeline_data;
     Config* config;
 
-    cv::Mat img_gray;
-
     cv::Mat findOuterBoxMask( );
 
     bool isPlateInverted();

src/openalpr/characterregion.cpp

@@ -22,9 +22,9 @@
 using namespace cv;
 using namespace std;
 
-CharacterRegion::CharacterRegion(Mat img, Config* config)
+CharacterRegion::CharacterRegion(PipelineData* pipeline_data)
 {
-  this->config = config;
+  this->config = pipeline_data->config;
   this->debug = config->debugCharRegions;
 
   this->confidence = 0;
@@ -35,16 +35,18 @@ CharacterRegion::CharacterRegion(Mat img, Config* config)
   timespec startTime;
   getTime(&startTime);
 
-  charAnalysis = new CharacterAnalysis(img, config);
+  charAnalysis = new CharacterAnalysis(pipeline_data);
   charAnalysis->analyze();
+  pipeline_data->plate_inverted = charAnalysis->thresholdsInverted;
+  pipeline_data->plate_mask = charAnalysis->plateMask;
 
   if (this->debug && charAnalysis->linePolygon.size() > 0)
   {
     vector<Mat> tempDash;
-    for (int z = 0; z < charAnalysis->thresholds.size(); z++)
+    for (int z = 0; z < pipeline_data->thresholds.size(); z++)
     {
-      Mat tmp(charAnalysis->thresholds[z].size(), charAnalysis->thresholds[z].type());
+      Mat tmp(pipeline_data->thresholds[z].size(), pipeline_data->thresholds[z].type());
-      charAnalysis->thresholds[z].copyTo(tmp);
+      pipeline_data->thresholds[z].copyTo(tmp);
       cvtColor(tmp, tmp, CV_GRAY2BGR);
 
       tempDash.push_back(tmp);
@@ -100,10 +102,6 @@ CharacterRegion::~CharacterRegion()
   delete(charAnalysis);
 }
 
-Mat CharacterRegion::getPlateMask()
-{
-  return charAnalysis->plateMask;
-}
 
 LineSegment CharacterRegion::getTopLine()
 {
@@ -140,7 +138,3 @@ LineSegment CharacterRegion::getCharBoxRight()
   return charAnalysis->charBoxRight;
 }
 
-bool CharacterRegion::thresholdsInverted()
-{
-  return charAnalysis->thresholdsInverted;
-}

src/openalpr/characterregion.h

@@ -25,23 +25,20 @@
 #include "utility.h"
 #include "characteranalysis.h"
 #include "config.h"
-
+#include "pipeline_data.h"
 
 class CharacterRegion
 {
 
   public:
-    CharacterRegion(cv::Mat img, Config* config);
+    CharacterRegion(PipelineData* pipeline_data);
     virtual ~CharacterRegion();
 
-    CharacterAnalysis *charAnalysis;
 
     int confidence;
-    cv::Mat getPlateMask();
 
     LineSegment getTopLine();
     LineSegment getBottomLine();
-    //vector<Point> getLinePolygon();
     std::vector<cv::Point> getCharArea();
 
     LineSegment getCharBoxTop();
@@ -49,12 +46,12 @@ class CharacterRegion
     LineSegment getCharBoxLeft();
     LineSegment getCharBoxRight();
 
-    bool thresholdsInverted();
 
   protected:
     Config* config;
     bool debug;
 
+    CharacterAnalysis *charAnalysis;
     cv::Mat findOuterBoxMask(std::vector<cv::Mat> thresholds, std::vector<std::vector<std::vector<cv::Point> > > allContours, std::vector<std::vector<cv::Vec4i> > allHierarchy);
 
     std::vector<bool> filter(cv::Mat img, std::vector<std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy);

src/openalpr/licenseplatecandidate.cpp

@@ -22,12 +22,11 @@
 using namespace std;
 using namespace cv;
 
-LicensePlateCandidate::LicensePlateCandidate(Mat frame, Rect regionOfInterest, Config* config)
+LicensePlateCandidate::LicensePlateCandidate(PipelineData* pipeline_data)
 {
-  this->config = config;
+  this->pipeline_data = pipeline_data;
+  this->config = pipeline_data->config;
 
-  this->frame = frame;
-  this->plateRegion = regionOfInterest;
 }
 
 LicensePlateCandidate::~LicensePlateCandidate()
@@ -40,45 +39,41 @@ void LicensePlateCandidate::recognize()
 {
   charSegmenter = NULL;
 
-  this->confidence = 0;
+  pipeline_data->plate_area_confidence = 0;
 
-  int expandX = round(this->plateRegion.width * 0.20);
+  int expandX = round(this->pipeline_data->regionOfInterest.width * 0.20);
-  int expandY = round(this->plateRegion.height * 0.15);
+  int expandY = round(this->pipeline_data->regionOfInterest.height * 0.15);
   // expand box by 15% in all directions
-  Rect expandedRegion = expandRect( this->plateRegion, expandX, expandY, frame.cols, frame.rows) ;
+  Rect expandedRegion = expandRect( this->pipeline_data->regionOfInterest, expandX, expandY, this->pipeline_data->grayImg.cols, this->pipeline_data->grayImg.rows) ;
 
-  Mat plate_bgr = Mat(frame, expandedRegion);
+  pipeline_data->crop_gray = Mat(this->pipeline_data->grayImg, expandedRegion);
-  resize(plate_bgr, plate_bgr, Size(config->templateWidthPx, config->templateHeightPx));
+  resize(pipeline_data->crop_gray, pipeline_data->crop_gray, Size(config->templateWidthPx, config->templateHeightPx));
-
-  Mat plate_gray;
-  cvtColor(plate_bgr, plate_gray, CV_BGR2GRAY);
   
   
-  CharacterRegion charRegion(plate_bgr, config);
+  CharacterRegion charRegion(pipeline_data);
 
   if (charRegion.confidence > 10)
   {
     PlateLines plateLines(config);
-    //Mat boogedy = charRegion.getPlateMask();
 
-    plateLines.processImage(charRegion.getPlateMask(), &charRegion, 1.10);
+    plateLines.processImage(pipeline_data->plate_mask, &charRegion, 1.10);
-    plateLines.processImage(plate_gray, &charRegion, 0.9);
+    plateLines.processImage(pipeline_data->crop_gray, &charRegion, 0.9);
 
-    PlateCorners cornerFinder(plate_bgr, &plateLines, &charRegion, config);
+    PlateCorners cornerFinder(pipeline_data->crop_gray, &plateLines, &charRegion, config);
     vector<Point> smallPlateCorners = cornerFinder.findPlateCorners();
 
     if (cornerFinder.confidence > 0)
     {
-      this->plateCorners = transformPointsToOriginalImage(frame, plate_bgr, expandedRegion, smallPlateCorners);
+      pipeline_data->plate_corners = transformPointsToOriginalImage(this->pipeline_data->grayImg, pipeline_data->crop_gray, expandedRegion, smallPlateCorners);
 
-      this->deskewed = deSkewPlate(frame, this->plateCorners);
+      pipeline_data->crop_gray = deSkewPlate(this->pipeline_data->grayImg, pipeline_data->plate_corners);
 
-      charSegmenter = new CharacterSegmenter(deskewed, charRegion.thresholdsInverted(), config);
+      charSegmenter = new CharacterSegmenter(pipeline_data);
 
       //this->recognizedText = ocr->recognizedText;
       //strcpy(this->recognizedText, ocr.recognizedText);
 
-      this->confidence = 100;
+      pipeline_data->plate_area_confidence = 100;
     }
     charRegion.confidence = 0;
   }
@@ -122,7 +117,7 @@ Mat LicensePlateCandidate::deSkewPlate(Mat inputImage, vector<Point2f> corners)
     width = round(((float) height) * aspect);
   }
 
-  Mat deskewed(height, width, frame.type());
+  Mat deskewed(height, width, this->pipeline_data->grayImg.type());
 
   // Corners of the destination image
   vector<Point2f> quad_pts;

src/openalpr/licenseplatecandidate.h

@@ -31,10 +31,10 @@
 #include "constants.h"
 #include "platelines.h"
 #include "characterregion.h"
-#include "charactersegmenter.h"
+#include "segmentation/charactersegmenter.h"
 #include "platecorners.h"
 #include "config.h"
-
+#include "pipeline_data.h"
 
 //vector<Rect> getCharacterRegions(Mat frame, vector<Rect> regionsOfInterest);
 //vector<RotatedRect> getCharSegmentsBetweenLines(Mat img, vector<vector<Point> > contours, LineSegment top, LineSegment bottom);
@@ -43,24 +43,18 @@ class LicensePlateCandidate
 {
 
   public:
-    LicensePlateCandidate(cv::Mat frame, cv::Rect regionOfInterest, Config* config);
+    LicensePlateCandidate(PipelineData* pipeline_data);
     virtual ~LicensePlateCandidate();
 
-    float confidence;		// 0-100
-    //vector<Point> points;	// top-left, top-right, bottom-right, bottom-left
-    std::vector<cv::Point2f> plateCorners;
 
     void recognize();
 
-    cv::Mat deskewed;
-    CharacterSegmenter* charSegmenter;
 
   private:
-
+    PipelineData* pipeline_data;
     Config* config;
 
-    cv::Mat frame;
+    CharacterSegmenter* charSegmenter;
-    cv::Rect plateRegion;
 
     cv::Mat filterByCharacterHue(std::vector<std::vector<cv::Point> > charRegionContours);
     std::vector<cv::Point> findPlateCorners(cv::Mat inputImage, PlateLines plateLines, CharacterRegion charRegion);	// top-left, top-right, bottom-right, bottom-left

src/openalpr/ocr.cpp

@@ -52,7 +52,7 @@ OCR::~OCR()
   delete tesseract;
 }
 
-void OCR::performOCR(vector<Mat> thresholds, vector<Rect> charRegions)
+void OCR::performOCR(PipelineData* pipeline_data)
 {
   timespec startTime;
   getTime(&startTime);
@@ -60,18 +60,20 @@ void OCR::performOCR(vector<Mat> thresholds, vector<Rect> charRegions)
   postProcessor->clear();
   
   // Don't waste time on OCR processing if it is impossible to get sufficient characters
-  if (charRegions.size() < config->postProcessMinCharacters)
+  if (pipeline_data->charRegions.size() < config->postProcessMinCharacters)
     return;
 
-  for (int i = 0; i < thresholds.size(); i++)
+  for (int i = 0; i < pipeline_data->thresholds.size(); i++)
   {
     // Make it black text on white background
-    bitwise_not(thresholds[i], thresholds[i]);
+    bitwise_not(pipeline_data->thresholds[i], pipeline_data->thresholds[i]);
-    tesseract->SetImage((uchar*) thresholds[i].data, thresholds[i].size().width, thresholds[i].size().height, thresholds[i].channels(), thresholds[i].step1());
+    tesseract->SetImage((uchar*) pipeline_data->thresholds[i].data, 
+			pipeline_data->thresholds[i].size().width, pipeline_data->thresholds[i].size().height, 
+			pipeline_data->thresholds[i].channels(), pipeline_data->thresholds[i].step1());
 
-    for (int j = 0; j < charRegions.size(); j++)
+    for (int j = 0; j < pipeline_data->charRegions.size(); j++)
     {
-      Rect expandedRegion = expandRect( charRegions[j], 2, 2, thresholds[i].cols, thresholds[i].rows) ;
+      Rect expandedRegion = expandRect( pipeline_data->charRegions[j], 2, 2, pipeline_data->thresholds[i].cols, pipeline_data->thresholds[i].rows) ;
 
       tesseract->SetRectangle(expandedRegion.x, expandedRegion.y, expandedRegion.width, expandedRegion.height);
       tesseract->Recognize(NULL);

src/openalpr/ocr.h

@@ -26,6 +26,7 @@
 #include "utility.h"
 #include "postprocess.h"
 #include "config.h"
+#include "pipeline_data.h"
 
 #include "constants.h"
 #include "opencv2/imgproc/imgproc.hpp"
@@ -39,7 +40,7 @@ class OCR
     OCR(Config* config);
     virtual ~OCR();
 
-    void performOCR(std::vector<cv::Mat> thresholds, std::vector<cv::Rect> charRegions);
+    void performOCR(PipelineData* pipeline_data);
 
     PostProcess* postProcessor;
     //string recognizedText;

src/openalpr/pipeline_data.cpp

@@ -0,0 +1,29 @@
+#include "pipeline_data.h"
+
+using namespace cv;
+using namespace std;
+
+PipelineData::PipelineData(Mat colorImage, Rect regionOfInterest, Config* config)
+{
+  this->colorImg = colorImage;
+  cvtColor(this->colorImg, this->grayImg, CV_BGR2GRAY);
+  
+  this->regionOfInterest = regionOfInterest;
+  this->config = config;
+  
+  plate_inverted = false;
+}
+
+PipelineData::~PipelineData()
+{
+  clearThresholds();
+}
+
+void PipelineData::clearThresholds()
+{
+  for (int i = 0; i < thresholds.size(); i++)
+  {
+    thresholds[i].release();
+  }
+  thresholds.clear();
+}

src/openalpr/pipeline_data.h

@@ -0,0 +1,51 @@
+
+#ifndef OPENALPR_PIPELINEDATA_H
+#define OPENALPR_PIPELINEDATA_H
+
+#include "opencv2/imgproc/imgproc.hpp"
+#include "utility.h"
+#include "config.h"
+
+class PipelineData
+{
+
+  public:
+    PipelineData(cv::Mat colorImage, cv::Rect regionOfInterest, Config* config);
+    virtual ~PipelineData();
+
+    void clearThresholds();
+    
+    // Inputs
+    Config* config;
+    
+    cv::Mat colorImg;
+    cv::Mat grayImg;
+    cv::Rect regionOfInterest;
+    
+    cv::Mat crop_gray;
+    cv::Mat plate_mask;    
+    std::vector<cv::Mat> thresholds;
+    
+    std::vector<cv::Point2f> plate_corners;
+
+    
+    // Outputs
+    bool plate_inverted;
+    
+    std::string region_code;
+    float region_confidence;
+    
+
+    float plate_area_confidence;
+    
+    std::vector<cv::Rect> charRegions;
+    
+
+
+
+    // OCR
+    
+};
+
+
+#endif // OPENALPR_PIPELINEDATA_H

src/openalpr/platecorners.cpp

@@ -40,10 +40,6 @@ PlateCorners::PlateCorners(Mat inputImage, PlateLines* plateLines, CharacterRegi
   Point bottomPoint = charRegion->getBottomLine().closestPointOnSegmentTo(topPoint);
   this->charHeight = distanceBetweenPoints(topPoint, bottomPoint);
 
-  //this->charHeight = distanceBetweenPoints(charRegion->getCharArea()[0], charRegion->getCharArea()[3]);
-  //this->charHeight = this->charHeight - 2;	// Adjust since this height is a box around our char.
-  // Adjust the char height for the difference in size...
-  //this->charHeight = ((float) inputImage.size().height / (float) TEMPLATE_PLATE_HEIGHT) * this->charHeight;
 
   this->charAngle = angleBetweenPoints(charRegion->getCharArea()[0], charRegion->getCharArea()[1]);
 }
@@ -136,6 +132,9 @@ void PlateCorners::scoreVerticals(int v1, int v2)
   float charHeightToPlateWidthRatio = config->plateWidthMM / config->charHeightMM;
   float idealPixelWidth = this->charHeight *  (charHeightToPlateWidthRatio * 1.03);	// Add 3% so we don't clip any characters
 
+  float confidenceDiff = 0;
+  float missingSegmentPenalty = 0;
+  
   if (v1 == NO_LINE && v2 == NO_LINE)
   {
     //return;
@@ -146,25 +145,33 @@ void PlateCorners::scoreVerticals(int v1, int v2)
     left = centerLine.getParallelLine(idealPixelWidth / 2);
     right = centerLine.getParallelLine(-1 * idealPixelWidth / 2 );
 
-    score += SCORING_MISSING_SEGMENT_PENALTY_VERTICAL * 2;
+    missingSegmentPenalty += SCORING_MISSING_SEGMENT_PENALTY_VERTICAL * 2;
+    confidenceDiff += 2;
   }
   else if (v1 != NO_LINE && v2 != NO_LINE)
   {
-    left = this->plateLines->verticalLines[v1];
+    left = this->plateLines->verticalLines[v1].line;
-    right = this->plateLines->verticalLines[v2];
+    right = this->plateLines->verticalLines[v2].line;
+    confidenceDiff += (1.0 - this->plateLines->verticalLines[v1].confidence);
+    confidenceDiff += (1.0 - this->plateLines->verticalLines[v2].confidence);
   }
   else if (v1 == NO_LINE && v2 != NO_LINE)
   {
-    right = this->plateLines->verticalLines[v2];
+    right = this->plateLines->verticalLines[v2].line;
     left = right.getParallelLine(idealPixelWidth);
-    score += SCORING_MISSING_SEGMENT_PENALTY_VERTICAL;
+    missingSegmentPenalty += SCORING_MISSING_SEGMENT_PENALTY_VERTICAL;
+    confidenceDiff += (1.0 - this->plateLines->verticalLines[v2].confidence);
   }
   else if (v1 != NO_LINE && v2 == NO_LINE)
   {
-    left = this->plateLines->verticalLines[v1];
+    left = this->plateLines->verticalLines[v1].line;
     right = left.getParallelLine(-1 * idealPixelWidth);
-    score += SCORING_MISSING_SEGMENT_PENALTY_VERTICAL;
+    missingSegmentPenalty += SCORING_MISSING_SEGMENT_PENALTY_VERTICAL;
+    confidenceDiff += (1.0 - this->plateLines->verticalLines[v1].confidence);
   }
+  
+  score += confidenceDiff * SCORING_LINE_CONFIDENCE_WEIGHT;
+  score += missingSegmentPenalty;
 
   // Make sure this line is to the left of our license plate letters
   if (left.isPointBelowLine(charRegion->getCharBoxLeft().midpoint()) == false)
@@ -201,7 +208,7 @@ void PlateCorners::scoreVerticals(int v1, int v2)
 
   float plateDistance = abs(idealPixelWidth - distanceBetweenPoints(leftMidLinePoint, rightMidLinePoint));
 
-  score += plateDistance * SCORING_VERTICALDISTANCE_WEIGHT;
+  score += plateDistance * SCORING_DISTANCE_WEIGHT_VERTICAL;
 
   if (score < this->bestVerticalScore)
   {
@@ -215,7 +222,13 @@ void PlateCorners::scoreVerticals(int v1, int v2)
       cout << "xx xx Score: Left= " << left.str() << endl;
       cout << "xx xx Score: Right= " << right.str() << endl;
 
+
       cout << "Vertical breakdown Score:" << endl;
+      
+      cout << " -- Missing Segment Score: " << missingSegmentPenalty << "  -- Weight (1.0)" << endl;
+      scorecomponent = missingSegmentPenalty ;
+      cout << " -- -- Score:       " << scorecomponent << " = " << scorecomponent / score * 100 << "% of score" << endl;
+      
       cout << " -- Boxiness Score: " << verticalAngleDiff << "  -- Weight (" << SCORING_BOXINESS_WEIGHT << ")" << endl;
       scorecomponent = verticalAngleDiff * SCORING_BOXINESS_WEIGHT;
       cout << " -- -- Score:       " << scorecomponent << " = " << scorecomponent / score * 100 << "% of score" << endl;
@@ -224,10 +237,14 @@ void PlateCorners::scoreVerticals(int v1, int v2)
       scorecomponent = distanceFromEdge * SCORING_VERTICALDISTANCE_FROMEDGE_WEIGHT;
       cout << " -- -- Score:       " << scorecomponent << " = " << scorecomponent / score * 100 << "% of score" << endl;
 
-      cout << " -- Distance Score: " << plateDistance << "  -- Weight (" << SCORING_VERTICALDISTANCE_WEIGHT << ")" << endl;
+      cout << " -- Distance Score: " << plateDistance << "  -- Weight (" << SCORING_DISTANCE_WEIGHT_VERTICAL << ")" << endl;
-      scorecomponent = plateDistance * SCORING_VERTICALDISTANCE_WEIGHT;
+      scorecomponent = plateDistance * SCORING_DISTANCE_WEIGHT_VERTICAL;
       cout << " -- -- Score:       " << scorecomponent << " = " << scorecomponent / score * 100 << "% of score" << endl;
-
+      
+      cout << " -- Plate line confidence Score: " << confidenceDiff << "  -- Weight (" << SCORING_LINE_CONFIDENCE_WEIGHT << ")" << endl;
+      scorecomponent = confidenceDiff * SCORING_LINE_CONFIDENCE_WEIGHT;
+      cout << " -- -- Score:         " << scorecomponent << " = " << scorecomponent / score * 100 << "% of score" << endl;
+      
       cout << " -- Score: " << score << endl;
     }
 
@@ -251,6 +268,9 @@ void PlateCorners::scoreHorizontals(int h1, int h2)
   float charHeightToPlateHeightRatio = config->plateHeightMM / config->charHeightMM;
   float idealPixelHeight = this->charHeight *  charHeightToPlateHeightRatio;
 
+  float confidenceDiff = 0;
+  float missingSegmentPenalty = 0;
+  
   if (h1 == NO_LINE && h2 == NO_LINE)
   {
 //    return;
@@ -261,25 +281,33 @@ void PlateCorners::scoreHorizontals(int h1, int h2)
     top = centerLine.getParallelLine(idealPixelHeight / 2);
     bottom = centerLine.getParallelLine(-1 * idealPixelHeight / 2 );
 
-    score += SCORING_MISSING_SEGMENT_PENALTY_HORIZONTAL * 2;
+    missingSegmentPenalty += SCORING_MISSING_SEGMENT_PENALTY_HORIZONTAL * 2;
+    confidenceDiff += 2;
   }
   else if (h1 != NO_LINE && h2 != NO_LINE)
   {
-    top = this->plateLines->horizontalLines[h1];
+    top = this->plateLines->horizontalLines[h1].line;
-    bottom = this->plateLines->horizontalLines[h2];
+    bottom = this->plateLines->horizontalLines[h2].line;
+    confidenceDiff += (1.0 - this->plateLines->horizontalLines[h1].confidence);
+    confidenceDiff += (1.0 - this->plateLines->horizontalLines[h2].confidence);
   }
   else if (h1 == NO_LINE && h2 != NO_LINE)
   {
-    bottom = this->plateLines->horizontalLines[h2];
+    bottom = this->plateLines->horizontalLines[h2].line;
     top = bottom.getParallelLine(idealPixelHeight);
-    score += SCORING_MISSING_SEGMENT_PENALTY_HORIZONTAL;
+    missingSegmentPenalty += SCORING_MISSING_SEGMENT_PENALTY_HORIZONTAL;
+    confidenceDiff += (1.0 - this->plateLines->horizontalLines[h2].confidence);
   }
   else if (h1 != NO_LINE && h2 == NO_LINE)
   {
-    top = this->plateLines->horizontalLines[h1];
+    top = this->plateLines->horizontalLines[h1].line;
     bottom = top.getParallelLine(-1 * idealPixelHeight);
-    score += SCORING_MISSING_SEGMENT_PENALTY_HORIZONTAL;
+    missingSegmentPenalty += SCORING_MISSING_SEGMENT_PENALTY_HORIZONTAL;
+    confidenceDiff += (1.0 - this->plateLines->horizontalLines[h1].confidence);
   }
+  
+  score += confidenceDiff * SCORING_LINE_CONFIDENCE_WEIGHT;
+  score += missingSegmentPenalty;
 
   // Make sure this line is above our license plate letters
   if (top.isPointBelowLine(charRegion->getCharBoxTop().midpoint()) == false)
@@ -373,7 +401,13 @@ void PlateCorners::scoreHorizontals(int h1, int h2)
       cout << "xx xx Score: Top= " << top.str() << endl;
       cout << "xx xx Score: Bottom= " << bottom.str() << endl;
 
+      
       cout << "Horizontal breakdown Score:" << endl;
+      
+      cout << " -- Missing Segment Score: " << missingSegmentPenalty << "  -- Weight (1.0)" << endl;
+      scorecomponent = missingSegmentPenalty ;
+      cout << " -- -- Score:       " << scorecomponent << " = " << scorecomponent / score * 100 << "% of score" << endl;
+      
       cout << " -- Boxiness Score: " << horizontalAngleDiff << "  -- Weight (" << SCORING_BOXINESS_WEIGHT << ")" << endl;
       scorecomponent = horizontalAngleDiff * SCORING_BOXINESS_WEIGHT;
       cout << " -- -- Score:       " << scorecomponent << " = " << scorecomponent / score * 100 << "% of score" << endl;
@@ -390,6 +424,10 @@ void PlateCorners::scoreHorizontals(int h1, int h2)
       scorecomponent = charanglediff * SCORING_ANGLE_MATCHES_LPCHARS_WEIGHT;
       cout << " -- -- Score:         " << scorecomponent << " = " << scorecomponent / score * 100 << "% of score" << endl;
 
+      cout << " -- Plate line confidence Score: " << confidenceDiff << "  -- Weight (" << SCORING_LINE_CONFIDENCE_WEIGHT << ")" << endl;
+      scorecomponent = confidenceDiff * SCORING_LINE_CONFIDENCE_WEIGHT;
+      cout << " -- -- Score:         " << scorecomponent << " = " << scorecomponent / score * 100 << "% of score" << endl;
+      
       cout << " -- Score: " << score << endl;
     }
     this->bestHorizontalScore = score;

src/openalpr/platecorners.h

@@ -30,13 +30,16 @@
 #define NO_LINE -1
 
 #define SCORING_MISSING_SEGMENT_PENALTY_VERTICAL	10
-#define SCORING_MISSING_SEGMENT_PENALTY_HORIZONTAL	15
+#define SCORING_MISSING_SEGMENT_PENALTY_HORIZONTAL	1
 
 #define SCORING_BOXINESS_WEIGHT				0.8
 #define SCORING_PLATEHEIGHT_WEIGHT			2.2
-#define SCORING_TOP_BOTTOM_SPACE_VS_CHARHEIGHT_WEIGHT	0.05
+#define SCORING_TOP_BOTTOM_SPACE_VS_CHARHEIGHT_WEIGHT	0.10
 #define SCORING_ANGLE_MATCHES_LPCHARS_WEIGHT		1.1
-#define SCORING_VERTICALDISTANCE_WEIGHT		0.1
+
+#define SCORING_DISTANCE_WEIGHT_VERTICAL		0.04
+
+#define SCORING_LINE_CONFIDENCE_WEIGHT			18.0
 
 #define SCORING_VERTICALDISTANCE_FROMEDGE_WEIGHT	0.05
 

src/openalpr/platelines.cpp

@@ -22,6 +22,9 @@
 using namespace cv;
 using namespace std;
 
+const float MIN_CONFIDENCE = 0.3;
+    
+    
 PlateLines::PlateLines(Config* config)
 {
   this->config = config;
@@ -67,20 +70,20 @@ void PlateLines::processImage(Mat inputImage, CharacterRegion* charRegion, float
 
   // Create a mask that is dilated based on the detected characters
   vector<vector<Point> > polygons;
-  polygons.push_back(charRegion->charAnalysis->charArea);
+  polygons.push_back(charRegion->getCharArea());
   
   Mat mask = Mat::zeros(inputImage.size(), CV_8U);
   fillPoly(mask, polygons, Scalar(255,255,255));
 
-  dilate(mask, mask, element);
+  dilate(mask, mask, getStructuringElement( 1, Size( 1 + 1, 2*1+1 ), Point( 1, 1 ) ));
   bitwise_not(mask, mask);
   
   // AND canny edges with the character mask
   bitwise_and(edges, mask, edges);
   
   
-  vector<LineSegment> hlines = this->getLines(edges, sensitivity, false);
+  vector<PlateLine> hlines = this->getLines(edges, sensitivity, false);
-  vector<LineSegment> vlines = this->getLines(edges, sensitivity, true);
+  vector<PlateLine> vlines = this->getLines(edges, sensitivity, true);
   for (int i = 0; i < hlines.size(); i++)
     this->horizontalLines.push_back(hlines[i]);
   for (int i = 0; i < vlines.size(); i++)
@@ -98,12 +101,12 @@ void PlateLines::processImage(Mat inputImage, CharacterRegion* charRegion, float
 
     for( size_t i = 0; i < this->horizontalLines.size(); i++ )
     {
-      line( debugImgHoriz, this->horizontalLines[i].p1, this->horizontalLines[i].p2, Scalar(0,0,255), 1, CV_AA);
+      line( debugImgHoriz, this->horizontalLines[i].line.p1, this->horizontalLines[i].line.p2, Scalar(0,0,255), 1, CV_AA);
     }
 
     for( size_t i = 0; i < this->verticalLines.size(); i++ )
     {
-      line( debugImgVert, this->verticalLines[i].p1, this->verticalLines[i].p2, Scalar(0,0,255), 1, CV_AA);
+      line( debugImgVert, this->verticalLines[i].line.p1, this->verticalLines[i].line.p2, Scalar(0,0,255), 1, CV_AA);
     }
 
     vector<Mat> images;
@@ -126,7 +129,7 @@ void PlateLines::processImage(Mat inputImage, CharacterRegion* charRegion, float
 
 
 
-vector<LineSegment> PlateLines::getLines(Mat edges, float sensitivityMultiplier, bool vertical)
+vector<PlateLine> PlateLines::getLines(Mat edges, float sensitivityMultiplier, bool vertical)
 {
   if (this->debug)
     cout << "PlateLines::getLines" << endl;
@@ -135,7 +138,7 @@ vector<LineSegment> PlateLines::getLines(Mat edges, float sensitivityMultiplier,
   static int VERTICAL_SENSITIVITY = config->plateLinesSensitivityVertical;
 
   vector<Vec2f> allLines;
-  vector<LineSegment> filteredLines;
+  vector<PlateLine> filteredLines;
 
   int sensitivity;
   if (vertical)
@@ -176,7 +179,11 @@ vector<LineSegment> PlateLines::getLines(Mat edges, float sensitivityMultiplier,
         LineSegment bottom(0, edges.rows, edges.cols, edges.rows);
         Point p1 = line.intersection(bottom);
         Point p2 = line.intersection(top);
-        filteredLines.push_back(LineSegment(p1.x, p1.y, p2.x, p2.y));
+
+	PlateLine plateLine;
+	plateLine.line = LineSegment(p1.x, p1.y, p2.x, p2.y);
+	plateLine.confidence = (1.0 - MIN_CONFIDENCE) * ((float) (allLines.size() - i)) / ((float)allLines.size()) + MIN_CONFIDENCE;
+        filteredLines.push_back(plateLine);
       }
     }
     else
@@ -196,7 +203,10 @@ vector<LineSegment> PlateLines::getLines(Mat edges, float sensitivityMultiplier,
         int newY1 = line.getPointAt(0);
         int newY2 = line.getPointAt(edges.cols);
 
-        filteredLines.push_back(LineSegment(0, newY1, edges.cols, newY2));
+	PlateLine plateLine;
+	plateLine.line = LineSegment(0, newY1, edges.cols, newY2);
+	plateLine.confidence = (1.0 - MIN_CONFIDENCE) * ((float) (allLines.size() - i)) / ((float)allLines.size()) + MIN_CONFIDENCE;
+        filteredLines.push_back(plateLine);
       }
     }
   }

src/openalpr/platelines.h

@@ -27,6 +27,11 @@
 #include "config.h"
 #include "characterregion.h"
 
+struct PlateLine
+{
+  LineSegment line;
+  float confidence;
+};
 
 class PlateLines
 {
@@ -37,18 +42,19 @@ class PlateLines
 
     void processImage(cv::Mat img, CharacterRegion* charRegion, float sensitivity=1.0);
 
-    std::vector<LineSegment> horizontalLines;
+    std::vector<PlateLine> horizontalLines;
-    std::vector<LineSegment> verticalLines;
+    std::vector<PlateLine> verticalLines;
 
     std::vector<cv::Point> winningCorners;
 
   private:
+    
     Config* config;
     bool debug;
 
     cv::Mat customGrayscaleConversion(cv::Mat src);
     void findLines(cv::Mat inputImage);
-    std::vector<LineSegment> getLines(cv::Mat edges, float sensitivityMultiplier, bool vertical);
+    std::vector<PlateLine> getLines(cv::Mat edges, float sensitivityMultiplier, bool vertical);
 };
 
 #endif // OPENALPR_PLATELINES_H

src/openalpr/segmentation/charactersegmenter.cpp

@@ -22,9 +22,10 @@
 using namespace cv;
 using namespace std;
 
-CharacterSegmenter::CharacterSegmenter(Mat img, bool invertedColors, Config* config)
+CharacterSegmenter::CharacterSegmenter(PipelineData* pipeline_data)
 {
-  this->config = config;
+  this->pipeline_data = pipeline_data;
+  this->config = pipeline_data->config;
 
   this->confidence = 0;
 
@@ -36,20 +37,18 @@ CharacterSegmenter::CharacterSegmenter(Mat img, bool invertedColors, Config* con
   timespec startTime;
   getTime(&startTime);
 
-  Mat img_gray(img.size(), CV_8U);
-  cvtColor( img, img_gray, CV_BGR2GRAY );
 
-  medianBlur(img_gray, img_gray, 3);
+  medianBlur(pipeline_data->crop_gray, pipeline_data->crop_gray, 3);
 
-  if (invertedColors)
+  if (pipeline_data->plate_inverted)
-    bitwise_not(img_gray, img_gray);
+    bitwise_not(pipeline_data->crop_gray, pipeline_data->crop_gray);
 
-  charAnalysis = new CharacterAnalysis(img_gray, config);
+  charAnalysis = new CharacterAnalysis(pipeline_data);
   charAnalysis->analyze();
 
   if (this->config->debugCharSegmenter)
   {
-    displayImage(config, "CharacterSegmenter  Thresholds", drawImageDashboard(charAnalysis->thresholds, CV_8U, 3));
+    displayImage(config, "CharacterSegmenter  Thresholds", drawImageDashboard(pipeline_data->thresholds, CV_8U, 3));
   }
 
   if (this->config->debugCharSegmenter && charAnalysis->linePolygon.size() > 0)
@@ -107,7 +106,7 @@ CharacterSegmenter::CharacterSegmenter(Mat img, bool invertedColors, Config* con
     float avgCharWidth = median(charWidths.data(), charWidths.size());
     float avgCharHeight = median(charHeights.data(), charHeights.size());
 
-    removeSmallContours(charAnalysis->thresholds, charAnalysis->allContours, avgCharWidth, avgCharHeight);
+    removeSmallContours(pipeline_data->thresholds, charAnalysis->allContours, avgCharWidth, avgCharHeight);
 
     // Do the histogram analysis to figure out char regions
 
@@ -119,11 +118,11 @@ CharacterSegmenter::CharacterSegmenter(Mat img, bool invertedColors, Config* con
     vector<Rect> allBoxes;
     for (int i = 0; i < charAnalysis->allContours.size(); i++)
     {
-      Mat histogramMask = Mat::zeros(charAnalysis->thresholds[i].size(), CV_8U);
+      Mat histogramMask = Mat::zeros(pipeline_data->thresholds[i].size(), CV_8U);
 
       fillConvexPoly(histogramMask, charAnalysis->linePolygon.data(), charAnalysis->linePolygon.size(), Scalar(255,255,255));
 
-      VerticalHistogram vertHistogram(charAnalysis->thresholds[i], histogramMask);
+      VerticalHistogram vertHistogram(pipeline_data->thresholds[i], histogramMask);
 
       if (this->config->debugCharSegmenter)
       {
@@ -173,16 +172,16 @@ CharacterSegmenter::CharacterSegmenter(Mat img, bool invertedColors, Config* con
     }
 
     //ColorFilter colorFilter(img, charAnalysis->getCharacterMask());
-    vector<Rect> candidateBoxes = getBestCharBoxes(charAnalysis->thresholds[0], allBoxes, medianCharWidth);
+    vector<Rect> candidateBoxes = getBestCharBoxes(pipeline_data->thresholds[0], allBoxes, medianCharWidth);
 
     if (this->config->debugCharSegmenter)
     {
       // Setup the dashboard images to show the cleaning filters
-      for (int i = 0; i < charAnalysis->thresholds.size(); i++)
+      for (int i = 0; i < pipeline_data->thresholds.size(); i++)
       {
-        Mat cleanImg = Mat::zeros(charAnalysis->thresholds[i].size(), charAnalysis->thresholds[i].type());
+        Mat cleanImg = Mat::zeros(pipeline_data->thresholds[i].size(), pipeline_data->thresholds[i].type());
-        Mat boxMask = getCharBoxMask(charAnalysis->thresholds[i], candidateBoxes);
+        Mat boxMask = getCharBoxMask(pipeline_data->thresholds[i], candidateBoxes);
-        charAnalysis->thresholds[i].copyTo(cleanImg);
+        pipeline_data->thresholds[i].copyTo(cleanImg);
         bitwise_and(cleanImg, boxMask, cleanImg);
         cvtColor(cleanImg, cleanImg, CV_GRAY2BGR);
 
@@ -194,19 +193,19 @@ CharacterSegmenter::CharacterSegmenter(Mat img, bool invertedColors, Config* con
 
     getTime(&startTime);
 
-    filterEdgeBoxes(charAnalysis->thresholds, candidateBoxes, medianCharWidth, avgCharHeight);
+    filterEdgeBoxes(pipeline_data->thresholds, candidateBoxes, medianCharWidth, avgCharHeight);
 
-    candidateBoxes = filterMostlyEmptyBoxes(charAnalysis->thresholds, candidateBoxes);
+    candidateBoxes = filterMostlyEmptyBoxes(pipeline_data->thresholds, candidateBoxes);
 
     candidateBoxes = combineCloseBoxes(candidateBoxes, medianCharWidth);
 
-    cleanCharRegions(charAnalysis->thresholds, candidateBoxes);
+    cleanCharRegions(pipeline_data->thresholds, candidateBoxes);
-    cleanMostlyFullBoxes(charAnalysis->thresholds, candidateBoxes);
+    cleanMostlyFullBoxes(pipeline_data->thresholds, candidateBoxes);
 
     //cleanBasedOnColor(thresholds, colorFilter.colorMask, candidateBoxes);
 
-    candidateBoxes = filterMostlyEmptyBoxes(charAnalysis->thresholds, candidateBoxes);
+    candidateBoxes = filterMostlyEmptyBoxes(pipeline_data->thresholds, candidateBoxes);
-    this->characters = candidateBoxes;
+    pipeline_data->charRegions = candidateBoxes;
 
     if (config->debugTiming)
     {
@@ -217,7 +216,7 @@ CharacterSegmenter::CharacterSegmenter(Mat img, bool invertedColors, Config* con
 
     if (this->config->debugCharSegmenter)
     {
-      Mat imgDash = drawImageDashboard(charAnalysis->thresholds, CV_8U, 3);
+      Mat imgDash = drawImageDashboard(pipeline_data->thresholds, CV_8U, 3);
       displayImage(config, "Segmentation after cleaning", imgDash);
 
       Mat generalDash = drawImageDashboard(this->imgDbgGeneral, this->imgDbgGeneral[0].type(), 2);
@@ -491,7 +490,7 @@ vector<Rect> CharacterSegmenter::combineCloseBoxes( vector<Rect> charBoxes, floa
       newCharBoxes.push_back(bigRect);
       if (this->config->debugCharSegmenter)
       {
-        for (int z = 0; z < charAnalysis->thresholds.size(); z++)
+        for (int z = 0; z < pipeline_data->thresholds.size(); z++)
         {
           Point center(bigRect.x + bigRect.width / 2, bigRect.y + bigRect.height / 2);
           RotatedRect rrect(center, Size2f(bigRect.width, bigRect.height + (bigRect.height / 2)), 0);
@@ -1141,7 +1140,4 @@ Mat CharacterSegmenter::getCharBoxMask(Mat img_threshold, vector<Rect> charBoxes
   return mask;
 }
 
-vector<Mat> CharacterSegmenter::getThresholds()
+
-{
-  return charAnalysis->thresholds;
-}

src/openalpr/segmentation/charactersegmenter.h

@@ -44,17 +44,16 @@ class CharacterSegmenter
 {
 
   public:
-    CharacterSegmenter(cv::Mat img, bool invertedColors, Config* config);
+    CharacterSegmenter(PipelineData* pipeline_data);
     virtual ~CharacterSegmenter();
 
-    std::vector<cv::Rect> characters;
     int confidence;
 
-    std::vector<cv::Mat> getThresholds();
 
   private:
     Config* config;
-
+    PipelineData* pipeline_data;
+    
     CharacterAnalysis* charAnalysis;
 
     LineSegment top;

src/openalpr/segmentation/segment.cpp

@@ -0,0 +1,50 @@
+/*
+ * Copyright (c) 2013 New Designs Unlimited, LLC
+ * Opensource Automated License Plate Recognition [http://www.openalpr.com]
+ *
+ * This file is part of OpenAlpr.
+ *
+ * OpenAlpr is free software: you can redistribute it and/or modify
+ * it under the terms of the GNU Affero General Public License
+ * version 3 as published by the Free Software Foundation
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Affero General Public License for more details.
+ *
+ * You should have received a copy of the GNU Affero General Public License
+ * along with this program. If not, see <http://www.gnu.org/licenses/>.
+*/
+
+#include "segment.h"
+
+Segment::Segment(cv::Rect newSegment)
+{
+  this->segment = newSegment;
+}
+
+Segment::~Segment()
+{
+
+}
+
+bool Segment::matches(cv::Rect newSegment)
+{
+  // Compare the two segments with a given leniency
+  const float WIDTH_LENIENCY_MIN = 0.25;
+  const float WIDTH_LENIENCY_MAX = 0.20;
+  
+  float left_min = segment.x - (((float)segment.width) * WIDTH_LENIENCY_MIN);
+  float left_max = segment.x + (((float)segment.width) * WIDTH_LENIENCY_MAX);
+  float right_min = (segment.x + segment.width) - (((float)segment.width) * WIDTH_LENIENCY_MIN);
+  float right_max = (segment.x + segment.width) + (((float)segment.width) * WIDTH_LENIENCY_MAX);
+  
+  int newSegRight = newSegment.x + newSegment.width;
+  if (newSegment.x >= left_min && newSegment.x <= left_max && 
+    newSegRight >= right_min && newSegRight <= right_max)
+    return true;
+  
+  return false;
+}
+

src/openalpr/segmentation/segment.h

@@ -0,0 +1,41 @@
+/*
+ * Copyright (c) 2013 New Designs Unlimited, LLC
+ * Opensource Automated License Plate Recognition [http://www.openalpr.com]
+ *
+ * This file is part of OpenAlpr.
+ *
+ * OpenAlpr is free software: you can redistribute it and/or modify
+ * it under the terms of the GNU Affero General Public License
+ * version 3 as published by the Free Software Foundation
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Affero General Public License for more details.
+ *
+ * You should have received a copy of the GNU Affero General Public License
+ * along with this program. If not, see <http://www.gnu.org/licenses/>.
+*/
+
+#ifndef OPENALPR_SEGMENT_H
+#define OPENALPR_SEGMENT_H
+
+#include <vector>
+#include <stdio.h>
+
+#include "opencv2/imgproc/imgproc.hpp"
+
+class Segment
+{
+
+  public:
+    Segment(cv::Rect newSegment);
+    virtual ~Segment();
+
+    cv::Rect segment;
+    
+    bool matches(cv::Rect newSegment);
+    
+};
+
+#endif // OPENALPR_SEGMENTATIONGROUP_H

src/openalpr/segmentation/segmentationgroup.cpp

@@ -0,0 +1,49 @@
+/*
+ * Copyright (c) 2013 New Designs Unlimited, LLC
+ * Opensource Automated License Plate Recognition [http://www.openalpr.com]
+ *
+ * This file is part of OpenAlpr.
+ *
+ * OpenAlpr is free software: you can redistribute it and/or modify
+ * it under the terms of the GNU Affero General Public License
+ * version 3 as published by the Free Software Foundation
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Affero General Public License for more details.
+ *
+ * You should have received a copy of the GNU Affero General Public License
+ * along with this program. If not, see <http://www.gnu.org/licenses/>.
+*/
+
+#include "segmentationgroup.h"
+
+SegmentationGroup::SegmentationGroup()
+{
+  
+}
+
+SegmentationGroup::~SegmentationGroup()
+{
+
+}
+
+void SegmentationGroup::add(int segmentID)
+{
+  this->segmentIDs.push_back(segmentID);
+}
+
+bool SegmentationGroup::equals(SegmentationGroup otherGroup)
+{
+  if (segmentIDs.size() != otherGroup.segmentIDs.size())
+    return false;
+  
+  for (int i = 0; i < segmentIDs.size(); i++)
+  {
+    if (otherGroup.segmentIDs[i] != segmentIDs[i])
+      return false;
+  }
+  
+  return true;
+}

src/openalpr/segmentation/segmentationgroup.h

@@ -0,0 +1,50 @@
+/*
+ * Copyright (c) 2013 New Designs Unlimited, LLC
+ * Opensource Automated License Plate Recognition [http://www.openalpr.com]
+ *
+ * This file is part of OpenAlpr.
+ *
+ * OpenAlpr is free software: you can redistribute it and/or modify
+ * it under the terms of the GNU Affero General Public License
+ * version 3 as published by the Free Software Foundation
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Affero General Public License for more details.
+ *
+ * You should have received a copy of the GNU Affero General Public License
+ * along with this program. If not, see <http://www.gnu.org/licenses/>.
+*/
+
+#ifndef OPENALPR_SEGMENTATIONGROUP_H
+#define OPENALPR_SEGMENTATIONGROUP_H
+
+#include <vector>
+#include <stdio.h>
+
+#include "opencv2/imgproc/imgproc.hpp"
+
+#include "segment.h"
+
+
+class SegmentationGroup
+{
+
+  public:
+    SegmentationGroup();
+    virtual ~SegmentationGroup();
+
+    void add(int segmentID);
+    
+    std::vector<int> segmentIDs;
+    
+    bool equals(SegmentationGroup otherGroup);
+    
+
+  private:
+    float strength;	// Debuggin purposes -- how many threshold segmentations match this one perfectly
+    
+};
+
+#endif // OPENALPR_SEGMENTATIONGROUP_H

src/openalpr/stateidentifier.cpp

@@ -43,26 +43,18 @@ StateIdentifier::~StateIdentifier()
   delete featureMatcher;
 }
 
-int StateIdentifier::recognize(Mat img, Rect frame, char* stateCode)
-{
-  Mat croppedImage = Mat(img, frame);
 
-  return this->recognize(croppedImage, stateCode);
+// Attempts to recognize the plate.  Returns a confidence level.  Updates the region code and confidence
-}
+// If region is found, returns true.
-// Attempts to recognize the plate.  Returns a confidence level.  Updates teh "stateCode" variable
+bool StateIdentifier::recognize(PipelineData* pipeline_data)
-// with the value of the country/state
-int StateIdentifier::recognize(Mat img, char* stateCode)
 {
   timespec startTime;
   getTime(&startTime);
 
-  cvtColor(img, img, CV_BGR2GRAY);
+  Mat plateImg = Mat(pipeline_data->grayImg, pipeline_data->regionOfInterest);
 
-  resize(img, img, getSizeMaintainingAspect(img, config->stateIdImageWidthPx, config->stateIdimageHeightPx));
+  resize(plateImg, plateImg, getSizeMaintainingAspect(plateImg, config->stateIdImageWidthPx, config->stateIdimageHeightPx));
 
-  Mat plateImg(img.size(), img.type());
-  //plateImg = equalizeBrightness(img);
-  img.copyTo(plateImg);
 
   Mat debugImg(plateImg.size(), plateImg.type());
   plateImg.copyTo(debugImg);
@@ -87,7 +79,11 @@ int StateIdentifier::recognize(Mat img, char* stateCode)
   if (result.haswinner == false)
     return 0;
 
-  strcpy(stateCode, result.winner.c_str());
+  pipeline_data->region_code = result.winner;
-
+  pipeline_data->region_confidence = result.confidence;
-  return result.confidence;
+  
+  if (result.confidence >= 10)
+    return true;
+  
+  return false;
 }

src/openalpr/stateidentifier.h

@@ -25,6 +25,7 @@
 #include "featurematcher.h"
 #include "utility.h"
 #include "config.h"
+#include "pipeline_data.h"
 
 class StateIdentifier
 {
@@ -33,8 +34,7 @@ class StateIdentifier
     StateIdentifier(Config* config);
     virtual ~StateIdentifier();
 
-    int recognize(cv::Mat img, cv::Rect frame, char* stateCode);
+    bool recognize(PipelineData* pipeline_data);
-    int recognize(cv::Mat img, char* stateCode);
 
     //int confidence;
 

src/openalpr/utility.cpp

@@ -109,7 +109,7 @@ void displayImage(Config* config, string windowName, cv::Mat frame)
 
 vector<Mat> produceThresholds(const Mat img_gray, Config* config)
 {
-  const int THRESHOLD_COUNT = 4;
+  const int THRESHOLD_COUNT = 3;
   //Mat img_equalized = equalizeBrightness(img_gray);
 
   timespec startTime;
@@ -145,9 +145,9 @@ vector<Mat> produceThresholds(const Mat img_gray, Config* config)
   k = 1;
   NiblackSauvolaWolfJolion (img_gray, thresholds[i++], SAUVOLA, 12, 12, 0.18 * k);
   bitwise_not(thresholds[i-1], thresholds[i-1]);
-  k=2;
+  //k=2;
-  NiblackSauvolaWolfJolion (img_gray, thresholds[i++], SAUVOLA, 12, 12, 0.18 * k);
+  //NiblackSauvolaWolfJolion (img_gray, thresholds[i++], SAUVOLA, 12, 12, 0.18 * k);
-  bitwise_not(thresholds[i-1], thresholds[i-1]);
+  //bitwise_not(thresholds[i-1], thresholds[i-1]);
 
   if (config->debugTiming)
   {