* change all the files to utf-8 without bom.

* use a few best test parameters chosen from grid search.
* add image to res.

.gitignore

@@ -1,6 +1,8 @@
 .idea/
 _build/
 resources/image/tmp/
+resources/image/native_test/*.jpg
+
 *.suo
 *.sdf
 *.opensdf
@@ -32,3 +34,8 @@ obj/
 [Rr]elease*/
 _ReSharper*/
 [Tt]est[Rr]esult*
+
+*.obj
+*.cache
+*.log
+[Bb]in

include/easypr/config.h

@@ -11,9 +11,9 @@ namespace easypr {
 
   enum
   {
-    PR_DETECT_SOBEL = 0x01,  /**Sobel detect type，using twice Sobel  */
+    PR_DETECT_SOBEL = 0x01,  /**Sobel detect type, using twice Sobel  */
     PR_DETECT_COLOR = 0x02,  /**Color detect type   */
-    PR_DETECT_CMSER = 0x04,  /**Character detect type，using mser  */
+    PR_DETECT_CMSER = 0x04,  /**Character detect type, using mser  */
   };
 
 static const char* kDefaultSvmPath = "resources/model/svm.xml";

include/easypr/core/plate_recognize.h

@@ -24,14 +24,14 @@ namespace easypr {
   public:
     CPlateRecognize();
 
-    //! 车牌检测与字符识别
+    //! 车牌检测与字符识别
     int plateRecognize(Mat src, std::vector<CPlate> &licenseVec, int img_index = 0);
     int plateRecognize(Mat src, std::vector<std::string> &licenseVec);
 
     int plateRecognizeAsText(Mat src, std::vector<CPlate> &licenseVec);
     int plateRecognizeAsTextNM(Mat src, std::vector<CPlate> &licenseVec);
 
-    //! 生活模式与工业模式切换
+    //! 生活模式与工业模式切换
 
     inline void setLifemode(bool param) { CPlateDetect::setPDLifemode(param); }
     inline void setDetectType(int param) { CPlateDetect::setDetectType(param); }

src/core/chars_identify.cpp

@@ -239,7 +239,7 @@ namespace easypr {
     }
 
 
-    float chineseMaxThresh = 0.25;
+    float chineseMaxThresh = 0.2f;
     //float chineseMaxThresh = CParams::instance()->getParam2f();
 
     if (maxVal >= 0.9 || (isChinese && maxVal >= chineseMaxThresh)) {

src/core/chars_recognise.cpp

@@ -52,7 +52,7 @@ int CCharsRecognise::charsRecognise(CPlate& plate, std::string& plateLicense) {
 
   Mat plateMat = plate.getPlateMat();
 
-  // 判断车牌颜色以此确认threshold方法
+  // 判断车牌颜色以此确认threshold方法
   Color color;
   if (plate.getPlateLocateType() == CMSER) {
     color = plate.getPlateColor();

src/core/chars_segment.cpp

@@ -237,6 +237,8 @@ bool slideChineseWindow(Mat& image, Rect mr, Mat& newRoi, Color plateType, float
 int CCharsSegment::charsSegment(Mat input, vector<Mat>& resultVec, Color color) {
   if (!input.data) return 0x01;
 
+  Color plateType = color;
+
   Mat input_grey;
   cvtColor(input, input_grey, CV_BGR2GRAY);
 
@@ -251,7 +253,6 @@ int CCharsSegment::charsSegment(Mat input, vector<Mat>& resultVec, Color color)
   // 二值化
   // 根据车牌的不同颜色使用不同的阈值判断方法
   // TODO：使用MSER来提取这些轮廓
-
   //if (BLUE == plateType) {
   //  // cout << "BLUE" << endl;
   //  img_threshold = input_grey.clone();
@@ -285,8 +286,6 @@ int CCharsSegment::charsSegment(Mat input, vector<Mat>& resultVec, Color color)
   //            CV_THRESH_OTSU + CV_THRESH_BINARY);
   //}
 
-  Color plateType = color;
-
   img_threshold = input_grey.clone();
   spatial_ostu(img_threshold, 8, 2, plateType);