add getPlateColor and changeParam method

src/cpp/chars_identify.cpp

@@ -29,7 +29,7 @@ const int numAll = 54; /* 34+20=54 */
 
 CCharsIdentify::CCharsIdentify()
 {
-	cout << "CCharsIdentify" << endl;
+	//cout << "CCharsIdentify" << endl;
 	m_predictSize = 10;
 	m_path = "model/ann.xml";
 	LoadModel();

src/cpp/chars_recognise.cpp

@@ -7,12 +7,12 @@ namespace easypr{
 
 CCharsRecognise::CCharsRecognise()
 {
-	cout << "CCharsRecognise" << endl;
+	//cout << "CCharsRecognise" << endl;
 	m_charsSegment = new CCharsSegment();
 	m_charsIdentify = new CCharsIdentify();
 }
 
-void CCharsRecognise::LoadModel(string s)
+void CCharsRecognise::LoadANN(string s)
 {
 	m_charsIdentify->LoadModel(s.c_str());
 }

src/cpp/chars_segment.cpp

@@ -5,18 +5,21 @@
 */
 namespace easypr{
 
-#define HORIZONTAL    1
-#define VERTICAL    0
-
+const float DEFAULT_BLUEPERCEMT = 0.3; 
+const float	DEFAULT_WHITEPERCEMT = 0.1;
 
 CCharsSegment::CCharsSegment()
 {
-	cout << "CCharsSegment" << endl;
-	m_NiuDingSize = 7;
-	m_theMatWidth = 136;
+	//cout << "CCharsSegment" << endl;
+	m_LiuDingSize = DEFAULT_LIUDING_SIZE;
+	m_theMatWidth = DEFAULT_MAT_WIDTH;
+
+	//！车牌颜色判断参数
+	m_ColorThreshold = DEFAULT_COLORTHRESHOLD;
+	m_BluePercent = DEFAULT_BLUEPERCEMT;
+	m_WhitePercent = DEFAULT_WHITEPERCEMT;
 }
 
-
 //! 字符尺寸验证
 bool CCharsSegment::verifySizes(Mat r){
 	//Char sizes 45x90
@@ -84,7 +87,7 @@ Mat CCharsSegment::histeq(Mat in)
 
 //getPlateType
 //判断车牌的类型，1为蓝牌，2为黄牌，0为未知，默认蓝牌
-//通过像素中蓝色所占比例的多少来判断，大于0.5为蓝牌，否则为黄牌
+//通过像素中蓝色所占比例的多少来判断，大于0.3为蓝牌，否则为黄牌
 int CCharsSegment::getPlateType(Mat input)
 {
 	Mat img;
@@ -104,29 +107,23 @@ int CCharsSegment::getPlateType(Mat input)
 			int green = int(intensity.val[1]);
 			int red = int(intensity.val[2]);
 
-			if(blue > 150 && green > 10 && red > 10)
-			{			
+			if(blue > m_ColorThreshold && green > 10 && red > 10)		
 				countBlue++;
-			}
 
-			if(blue > 150 && green > 150 && red > 150)
-			{			
+			if(blue > m_ColorThreshold && green > m_ColorThreshold && red > m_ColorThreshold)			
 				countWhite++;
-			}
+
 		}	
 	}
 
 	double percentBlue = countBlue/nums;
 	double percentWhite = countWhite/nums;
 
-	if (percentBlue - 0.3 > 0 && percentWhite - 0.1 > 0)
-	{
+	if (percentBlue - m_BluePercent > 0 && percentWhite - m_WhitePercent > 0)
 		return 1;
-	}
 	else
-	{
 		return 2;
-	}
+
 	return 0;
 }
 
@@ -136,7 +133,7 @@ int CCharsSegment::getPlateType(Mat input)
 //X的推荐值为，可根据实际调整
 Mat CCharsSegment::clearLiuDing(Mat img)
 {
-	const int x = m_NiuDingSize;
+	const int x = m_LiuDingSize;
 	Mat jump = Mat::zeros(1, img.rows, CV_32F);
 	for(int i=0; i < img.rows; i++)
 	{
@@ -161,7 +158,7 @@ Mat CCharsSegment::clearLiuDing(Mat img)
 	return img;
 }
 
-//! 字符分割
+//! 字符分割与排序
 int CCharsSegment::charsSegment(Mat input, vector<Mat>& resultVec)
 {
 	if( !input.data )
@@ -198,7 +195,9 @@ int CCharsSegment::charsSegment(Mat input, vector<Mat>& resultVec)
 	vector<vector<Point> >::iterator itc= contours.begin();
 
 	vector<Rect> vecRect;
-	//Remove patch that are no inside limits of aspect ratio and area.    
+
+	//Remove patch that are no inside limits of aspect ratio and area.  
+	//将不符合特定尺寸的图块排除出去
 	while (itc != contours.end()) 
 	{
 		Rect mr = boundingRect(Mat(*itc));
@@ -214,20 +213,27 @@ int CCharsSegment::charsSegment(Mat input, vector<Mat>& resultVec)
 		return -1;
 
 	vector<Rect> sortedRect;
+	//对符合尺寸的图块按照从左到右进行排序
 	SortRect(vecRect, sortedRect);
 
 	int specIndex = 0;
+	//获得指示城市的特定Rect,如苏A的"A"
 	specIndex = GetSpecificRect(sortedRect);
 
+	//根据特定Rect向左反推出中文字符
+	//这样做的主要原因是根据findContours方法很难捕捉到中文字符的准确Rect，因此仅能
+	//退过特定算法来指定
 	Rect chineseRect;
 	if (specIndex < sortedRect.size())
 		chineseRect = GetChineseRect(sortedRect[specIndex]);
 	else
 		return -1;
 
+	//新建一个全新的排序Rect
+	//将中文字符Rect第一个加进来，因为它肯定是最左边的
+	//其余的Rect只按照顺序去6个，车牌只可能是7个字符！这样可以避免阴影导致的“1”字符
 	vector<Rect> newSortedRect;
 	newSortedRect.push_back(chineseRect);
-
 	RebuildRect(sortedRect, newSortedRect, specIndex);
 
 	if (newSortedRect.size() == 0)
@@ -237,7 +243,6 @@ int CCharsSegment::charsSegment(Mat input, vector<Mat>& resultVec)
 	{
 		Rect mr = newSortedRect[i];
 		Mat auxRoi(img_threshold, mr);
-
 		if (1)
 		{
 			auxRoi = preprocessChar(auxRoi);
@@ -292,8 +297,6 @@ int CCharsSegment::SortRect(const vector<Rect>& vecRect, vector<Rect>& out)
 	return 0;
 }
 
-
-
 //! 根据特殊车牌来构造猜测中文字符的位置和大小
 Rect CCharsSegment::GetChineseRect(const Rect rectSpe)
 {
@@ -310,7 +313,7 @@ Rect CCharsSegment::GetChineseRect(const Rect rectSpe)
 	return a;
 }
 
-//! 找出指示城市的字符的Rect，例如苏A7003X，就是A的位置
+//! 找出指示城市的字符的Rect，例如苏A7003X，就是"A"的位置
 int CCharsSegment::GetSpecificRect(const vector<Rect>& vecRect)
 {
 	vector<int> xpositions;

src/cpp/plate_detect.cpp

@@ -7,12 +7,12 @@ namespace easypr{
 
 CPlateDetect::CPlateDetect()
 {
-	cout << "CPlateDetect" << endl;
+	//cout << "CPlateDetect" << endl;
 	m_plateLocate = new CPlateLocate();
 	m_plateJudge = new CPlateJudge();
 }
 
-void CPlateDetect::LoadModel(string s)
+void CPlateDetect::LoadSVM(string s)
 {
 	m_plateJudge->LoadModel(s.c_str());
 }

src/cpp/plate_judge.cpp

@@ -7,7 +7,7 @@ namespace easypr{
 
 CPlateJudge::CPlateJudge()
 {
-	cout << "CPlateJudge" << endl;
+	//cout << "CPlateJudge" << endl;
 	m_path = "model/svm.xml";
 	LoadModel();
 }

src/cpp/plate_locate.cpp

@@ -5,19 +5,36 @@
 */
 namespace easypr{
 
+const float DEFAULT_ERROR = 0.6;
+const float DEFAULT_ASPECT = 3.75; 
+
+CPlateLocate::CPlateLocate()
+{
+	//cout << "CPlateLocate" << endl;
+	m_GaussianBlurSize = DEFAULT_GAUSSIANBLUR_SIZE;
+	m_MorphSizeWidth = DEFAULT_MORPH_SIZE_WIDTH;
+	m_MorphSizeHeight = DEFAULT_MORPH_SIZE_HEIGHT;
+
+	m_error = DEFAULT_ERROR;
+	m_aspect = DEFAULT_ASPECT;
+	m_verifyMin = DEFAULT_VERIFY_MIN;
+	m_verifyMax = DEFAULT_VERIFY_MAX;
+
+	m_angle = DEFAULT_ANGLE;
+}
+
 //! 对minAreaRect获得的最小外接矩形，用纵横比进行判断
 bool CPlateLocate::verifySizes(RotatedRect mr)
 {
-	float error = 0.6;
+	float error = m_error;
 	//Spain car plate size: 52x11 aspect 4,7272
 	//China car plate size: 440mm*140mm，aspect 3.142857
-	const float ASPECT = 3.75;
-	float aspect = ASPECT;
+	float aspect = m_aspect;
 	//Set a min and max area. All other patchs are discarded
 	//int min= 1*aspect*1; // minimum area
 	//int max= 2000*aspect*2000; // maximum area
-	int min= 44*14*3; // minimum area
-	int max= 44*14*20; // maximum area
+	int min= 44*14*m_verifyMin; // minimum area
+	int max= 44*14*m_verifyMax; // maximum area
 	//Get only patchs that match to a respect ratio.
 	float rmin= aspect-aspect*error;
 	float rmax= aspect+aspect*error;
@@ -70,7 +87,8 @@ int CPlateLocate::plateLocate(Mat src, vector<Mat>& resultVec)
 	{ return -1; }
 
 	//高斯均衡。Size中的数字影响车牌定位的效果。
-	GaussianBlur( src, src_blur, Size(GAUSSIANBLUR_SIZE, GAUSSIANBLUR_SIZE), 0, 0, BORDER_DEFAULT );
+	GaussianBlur( src, src_blur, Size(m_GaussianBlurSize, m_GaussianBlurSize), 
+		0, 0, BORDER_DEFAULT );
 
 	/// Convert it to gray
 	cvtColor( src_blur, src_gray, CV_RGB2GRAY );
@@ -96,7 +114,7 @@ int CPlateLocate::plateLocate(Mat src, vector<Mat>& resultVec)
 	threshold(grad, img_threshold, 0, 255, CV_THRESH_OTSU+CV_THRESH_BINARY);
 	//threshold(grad, img_threshold, 75, 255, CV_THRESH_BINARY);
 
-	Mat element = getStructuringElement(MORPH_RECT, Size(MORPH_SIZE_WIDTH, MORPH_SIZE_HEIGHT) );
+	Mat element = getStructuringElement(MORPH_RECT, Size(m_MorphSizeWidth, m_MorphSizeHeight) );
 	morphologyEx(img_threshold, img_threshold, CV_MOP_CLOSE, element);
 	
 	//Find 轮廓 of possibles plates
@@ -148,8 +166,8 @@ int CPlateLocate::plateLocate(Mat src, vector<Mat>& resultVec)
 				angle = 90 + angle;
 				swap(rect_size.width, rect_size.height);
 			}
-			//如果抓取的方块旋转超过30角度，则不是车牌，放弃处理
-			if (angle - 30 < 0 && angle + 30 > 0)
+			//如果抓取的方块旋转超过m_angle角度，则不是车牌，放弃处理
+			if (angle - m_angle < 0 && angle + m_angle > 0)
 			{
 				//Create and rotate image
 				Mat rotmat = getRotationMatrix2D(minRect.center, angle, 1);
@@ -166,9 +184,4 @@ int CPlateLocate::plateLocate(Mat src, vector<Mat>& resultVec)
 	return 0;
 }
 
-CPlateLocate::CPlateLocate()
-{
-	cout << "CPlateLocate" << endl;
-}
-
 }	/*! \namespace easypr*/

src/cpp/plate_recognize.cpp

@@ -7,51 +7,58 @@ namespace easypr{
 
 CPlateRecognize::CPlateRecognize()
 {
-	cout << "CPlateRecognize" << endl;
-	m_plateDetect= new CPlateDetect();
-	m_charsRecognise = new CCharsRecognise();
+	//cout << "CPlateRecognize" << endl;
+	//m_plateDetect= new CPlateDetect();
+	//m_charsRecognise = new CCharsRecognise();
 }
 
-//! ×°ÔØSVMÄ£ÐÍ
-void CPlateRecognize::LoadSVM(string strSVM)
-{
-	m_plateDetect->LoadModel(strSVM.c_str());
-}
-
-//! ×°ÔØANNÄ£ÐÍ
-void CPlateRecognize::LoadANN(string strANN)
-{
-	m_charsRecognise->LoadModel(strANN.c_str());
-}
-
-int CPlateRecognize::plateDetect(Mat src, vector<Mat>& resultVec)
-{
-	int result = m_plateDetect->plateDetect(src, resultVec);
-	return result;
-}
-
-int CPlateRecognize::charsRecognise(Mat plate, string& plateLicense)
-{
-	int result = m_charsRecognise->charsRecognise(plate, plateLicense);
-	return result;
-}
+////! ×°ÔØSVMÄ£ÐÍ
+//void CPlateRecognize::LoadSVM(string strSVM)
+//{
+//	m_plateDetect->LoadModel(strSVM.c_str());
+//}
+//
+////! ×°ÔØANNÄ£ÐÍ
+//void CPlateRecognize::LoadANN(string strANN)
+//{
+//	m_charsRecognise->LoadModel(strANN.c_str());
+//}
+//
+//int CPlateRecognize::plateDetect(Mat src, vector<Mat>& resultVec)
+//{
+//	int result = m_plateDetect->plateDetect(src, resultVec);
+//	return result;
+//}
+//
+//int CPlateRecognize::charsRecognise(Mat plate, string& plateLicense)
+//{
+//	int result = m_charsRecognise->charsRecognise(plate, plateLicense);
+//	return result;
+//}
 
-int CPlateRecognize::plateRecognize(Mat src, vector<string>& plateVec)
+int CPlateRecognize::plateRecognize(Mat src, vector<string>& licenseVec)
 {
 	//车牌方块集合
-	vector<Mat> matVec;
+	vector<Mat> plateVec;
 
-	int resultPD = m_plateDetect->plateDetect(src, matVec);
+	int resultPD = plateDetect(src, plateVec);
 	if (resultPD == 0)
 	{
-		int num = matVec.size();
+		int num = plateVec.size();
 		for (int j = 0; j < num; j++)
 		{
+			Mat plate = plateVec[j];
+			
+			//»ñÈ¡³µÅÆÑÕÉ«
+			string plateType = getPlateType(plate);
+
+			//»ñÈ¡³µÅƺÅ
 			string plateIdentify = "";
-			int resultCR = m_charsRecognise->charsRecognise(matVec[j], plateIdentify);
+			int resultCR = charsRecognise(plate, plateIdentify);
 			if (resultCR == 0)
 			{
-				plateVec.push_back(plateIdentify);
+				string license = plateType + ":" + plateIdentify;
+				licenseVec.push_back(license);
 			}
 		}
 	}

src/cpp/test.cpp

@@ -25,10 +25,10 @@ int main()
 {
 	assert (test_plate_locate() == 0);
 	assert (test_plate_judge() == 0);
+	assert (test_plate_detect() == 0);
+
 	assert (test_chars_segment() == 0);
 	assert (test_chars_identify() == 0);
-
-	assert (test_plate_detect() == 0);
 	assert (test_chars_recognise() == 0);
 
 	assert (test_plate_recognize() == 0);
@@ -175,6 +175,7 @@ int test_chars_identify()
 	}
 	cout << "Identify Correct!" << endl;
 
+	cout << "Enter 1 for coninue:";
 	int a = 0;
 	cin >> a;
 
@@ -222,6 +223,7 @@ int test_chars_recognise()
 		cout << "charsRecognise: " << charsRecognise << endl;
 	}
 
+	cout << "Enter 1 for coninue:";
 	int a = 0;
 	cin >> a;
 
@@ -235,6 +237,18 @@ int test_plate_recognize()
 	Mat src = imread("image/plate_recognize.jpg");
 
 	CPlateRecognize pr;
+	pr.LoadANN("model/ann.xml");
+	pr.LoadSVM("model/svm.xml");
+
+	pr.setGaussianBlurSize(5);
+	pr.setMorphSizeWidth(17);
+
+	pr.setVerifyMin(3);
+	pr.setVerifyMax(20);
+
+	pr.setLiuDingSize(7);
+	pr.setColorThreshold(150);
+
 	vector<string> plateVec;
 
 	int result = pr.plateRecognize(src, plateVec);
@@ -247,6 +261,7 @@ int test_plate_recognize()
 		}
 	}
 
+	cout << "Enter 1 for coninue:";
 	int a = 0;
 	cin >> a;
 

src/include/chars_recognise.h

@@ -30,7 +30,31 @@ public:
 	int charsRecognise(Mat, String&);
 
 	//! 装载ANN模型
-	void LoadModel(string s);
+	void LoadANN(string s);
+
+	//! »ñµÃ³µÅÆÑÕÉ«
+	inline string getPlateType(Mat input) const
+	{
+		string color = "δ֪";
+		int result = m_charsSegment->getPlateType(input);
+		if (1 == result)
+		{
+			color = "À¶ÅÆ";
+		}
+		if (2 == result)
+		{
+			color = "»ÆÅÆ";
+		}
+		return color;
+	}
+
+	//! ÉèÖñäÁ¿
+	inline void setLiuDingSize(int param){ m_charsSegment->setLiuDingSize(param);}
+	inline void setColorThreshold(int param){ m_charsSegment->setColorThreshold(param);}
+	inline void setBluePercent(float param){ m_charsSegment->setBluePercent(param);}
+	inline float getBluePercent() const { return m_charsSegment->getBluePercent();}
+	inline void setWhitePercent(float param){ m_charsSegment->setWhitePercent(param);}
+	inline float getWhitePercent() const { return m_charsSegment->getWhitePercent();}
 
 private:
 	//！字符分割

src/include/chars_segment.h

@@ -62,14 +62,36 @@ public:
 	//! 将Rect按位置从左到右进行排序
 	int SortRect(const vector<Rect>& vecRect, vector<Rect>& out);
 
+	//! 设置变量
+	inline void setLiuDingSize(int param){ m_LiuDingSize = param;}
+	inline void setColorThreshold(int param){ m_ColorThreshold = param;}
+
+	inline void setBluePercent(float param){ m_BluePercent = param;}
+	inline float getBluePercent() const { return m_BluePercent;}
+	inline void setWhitePercent(float param){ m_WhitePercent = param;}
+	inline float getWhitePercent() const { return m_WhitePercent;}
+
 	//! preprocessChar所用常量
 	static const int CHAR_SIZE = 20;
 	static const int HORIZONTAL = 1;
 	static const int VERTICAL = 0;
 
+	//! preprocessChar所用常量
+	static const int DEFAULT_LIUDING_SIZE = 7;
+	static const int DEFAULT_MAT_WIDTH = 136;
+	static const int DEFAULT_COLORTHRESHOLD = 150;
+
 private:
-	int m_NiuDingSize;
+	//！柳钉判断参数
+	int m_LiuDingSize;
+
+	//！车牌大小参数
 	int m_theMatWidth;
+
+	//！车牌颜色判断参数
+	int m_ColorThreshold;
+	float m_BluePercent;
+	float m_WhitePercent;
 };
 
 }	/* \namespace easypr  */

src/include/plate_detect.h

@@ -21,16 +21,36 @@
 */
 namespace easypr {
 
-class CPlateDetect 
+class CPlateDetect
 {
 public:
 	CPlateDetect();
 
-	//! ³µÅƶ¨Î»ÓëÅжÏ
+	//! 车牌检测：车牌定位与判断
 	int plateDetect(Mat, vector<Mat>&);
 
 	//! 装载SVM模型
-	void LoadModel(string s);
+	void LoadSVM(string s);
+
+	//! 设置与读取变量
+	inline void setGaussianBlurSize(int param){	m_plateLocate->setGaussianBlurSize(param);}
+	inline int getGaussianBlurSize() const{	return m_plateLocate->getGaussianBlurSize();}
+
+	inline void setMorphSizeWidth(int param){m_plateLocate->setMorphSizeWidth(param);}
+	inline int getMorphSizeWidth() const{return m_plateLocate->getMorphSizeWidth();}
+
+	inline void setMorphSizeHeight(int param){m_plateLocate->setMorphSizeHeight(param);}
+	inline int getMorphSizeHeight() const{return m_plateLocate->getMorphSizeHeight();}
+
+	inline void setVerifyError(float param){m_plateLocate->setVerifyError(param);}
+	inline float getVerifyError() const { return m_plateLocate->getVerifyError();}
+	inline void setVerifyAspect(float param){m_plateLocate->setVerifyAspect(param);}
+	inline float getVerifyAspect() const { return m_plateLocate->getVerifyAspect();}
+
+	inline void setVerifyMin(int param){m_plateLocate->setVerifyMin(param);}
+	inline void setVerifyMax(int param){m_plateLocate->setVerifyMax(param);}
+
+	inline void setJudgeAngle(int param){m_plateLocate->setJudgeAngle(param);}
 
 private:
 	//！车牌定位

src/include/plate_locate.h

@@ -2,6 +2,7 @@
 // Name:	    plate_locate Header
 // Version:		1.0
 // Date:	    2014-09-19
+// MDate:		2014-09-29
 // Author:	    liuruoze
 // Copyright:   liuruoze
 // Reference:	Mastering OpenCV with Practical Computer Vision Projects
@@ -33,20 +34,64 @@ public:
 	//! ½á¹û³µÅÆÏÔʾ
 	Mat showResultMat(Mat src, Size rect_size, Point2f center);
 
-	//! PlateDection所用常量
-	static const int GAUSSIANBLUR_SIZE = 5;
+	//! 设置与读取变量
+	inline void setGaussianBlurSize(int param){ m_GaussianBlurSize = param;}
+	inline int getGaussianBlurSize() const{ return m_GaussianBlurSize;}
+
+	inline void setMorphSizeWidth(int param){ m_MorphSizeWidth = param;}
+	inline int getMorphSizeWidth() const{ return m_MorphSizeWidth;}
+
+	inline void setMorphSizeHeight(int param){ m_MorphSizeHeight = param;}
+	inline int getMorphSizeHeight() const{ return m_MorphSizeHeight;}
+
+	inline void setVerifyError(float param){ m_error = param;}
+	inline float getVerifyError() const { return m_error;}
+	inline void setVerifyAspect(float param){ m_aspect = param;}
+	inline float getVerifyAspect() const { return m_aspect;}
+
+	inline void setVerifyMin(int param){ m_verifyMin = param;}
+	inline void setVerifyMax(int param){ m_verifyMax = param;}
+
+	inline void setJudgeAngle(int param){ m_angle = param;}
+
+	//! PlateLocate所用常量
+	static const int DEFAULT_GAUSSIANBLUR_SIZE = 5;
 	static const int SOBEL_SCALE = 1;
 	static const int SOBEL_DELTA = 0;
 	static const int SOBEL_DDEPTH = CV_16S;
 	static const int SOBEL_X_WEIGHT = 1;
 	static const int SOBEL_Y_WEIGHT = 0;
-	static const int MORPH_SIZE_WIDTH = 17;
-	static const int MORPH_SIZE_HEIGHT = 3;
+	static const int DEFAULT_MORPH_SIZE_WIDTH = 17;
+	static const int DEFAULT_MORPH_SIZE_HEIGHT = 3;
 
 	//! showResultMatËùÓó£Á¿
 	static const int WIDTH = 136;
 	static const int HEIGHT = 36;
 	static const int TYPE = CV_8UC3;
+	
+	//! verifySize所用常量
+	static const int DEFAULT_VERIFY_MIN = 3;
+	static const int DEFAULT_VERIFY_MAX = 20;
+
+	//! 角度判断所用常量
+	static const int DEFAULT_ANGLE = 30;
+
+protected:
+	//! 高斯模糊所用变量
+	int m_GaussianBlurSize;
+
+	//! 连接操作所用变量
+	int m_MorphSizeWidth;
+	int m_MorphSizeHeight;
+
+	//! verifySize所用变量
+	float m_error;
+	float m_aspect;
+	int m_verifyMin;
+	int m_verifyMax;
+
+	//! 角度判断所用变量
+	int m_angle;
 };
 
 }	/*! \namespace easypr*/

src/include/plate_recognize.h

@@ -21,32 +21,32 @@
 */
 namespace easypr {
 
-class CPlateRecognize 
+class CPlateRecognize : public CPlateDetect, public CCharsRecognise
 {
 public:
 	CPlateRecognize();
 
 	//! ³µÅƼì²âÓë×Ö·ûʶ±ð
-	int plateRecognize(Mat, vector<string>& );
+	int plateRecognize(Mat, vector<string>&);
 
-	//! 车牌定位与判断
-	int plateDetect(Mat, vector<Mat>&);
+	////! 车牌定位与判断
+	//int plateDetect(Mat, vector<Mat>&);
 
-	//! 字符分割与识别
-	int charsRecognise(Mat, String&);
+	////! 字符分割与识别
+	//int charsRecognise(Mat, String&);
 
-	//! 装载SVM
-	void LoadSVM(string s);
+	////! 装载SVM
+	//void LoadSVM(string s);
 
-	//! 装载ANN模型
-	void LoadANN(string s);
+	////! 装载ANN模型
+	//void LoadANN(string s);
 
 private:
-	//！车牌检测
-	CPlateDetect* m_plateDetect;
+	////！车牌检测
+	//CPlateDetect* m_plateDetect;
 
-	//! 字符识别
-	CCharsRecognise* m_charsRecognise;
+	////! 字符识别
+	//CCharsRecognise* m_charsRecognise;
 };
 
 }	/* \namespace easypr  */