验证码识别技术下载_Word模板_19

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验证码识别技术验证码识别技术 ??ÓÃ???????ÌÐò?? view plaincopy to clipboardprint? 01.#include 02.#include 03.#include 04.#include 05.using namespace std; 08.int main( int argc, char** argv ) 09.{ 10. cvNamedWindow("1"); 11. cvNamedWindow("2"); 12. IplConvKernel* se = cvCre...

验证码识别技术 ??ÓÃ???????ÌÐò?? view plaincopy to clipboardprint? 01.#include 02.#include 03.#include 04.#include 05.using namespace std; 08.int main( int argc, char** argv ) 09.{ 10. cvNamedWindow("1"); 11. cvNamedWindow("2"); 12. IplConvKernel* se = cvCreateStructuringElementEx(2, 2, 1, 1, CV_SHAPE_CROSS); 13. 14. CvANN_MLP mlp; 15. mlp.load( "mpl.xml" ); 16. 17. for(int i=1; i<=100; i++) 18. { 19. // ?úÉúÎÄ?þÃû 20. char fn[1024]; 21. sprintf(fn, ".//sample//%d.jpg", i); 22. 23. // ?ÁÈ?Í?Æ? 24. IplImage* gray = cvLoadImage(fn, CV_LOAD_IMAGE_GRAYSCALE); 25. 26. // ?þÖµ?? 27. cvThreshold(gray, gray, 180, 255, CV_THRESH_BINARY | CV_THRESH_OTSU); 28. // È??ß?ò 29. cvRectangle(gray, cvPoint(0, 0), cvPoint(gray->width-1, gray->height-1), CV_RGB(255, 255, 255)); 30. // È?Ôë 31. cvDilate(gray, gray, se); 32. 33. /* 34. // µ?Õû?Ç?È 35. cvShowImage("1", gray); 36. IplImage* rote = cvCreateImage( cvGetSize(gray), IPL_DEPTH_8U, 1 ); 37. double t = tan(10.0 / 180.0 * CV_PI); 38. int w = gray->width; 39. int h = gray->height; 40. for(int i = 0; iimageData + gray->widthStep * i; 43. unsigned char* lineRote = (unsigned char*)rote->imageData + rote->widthStep * i; 44. for(int j = 0; j=10 )// ÎÄ×ÖÐèÒªÓÐ10ÏñËØ?ß?È 69. { 70. // ?æÖÆ?ÃÁ?Í?ÇøÓòµ?character 71. cvZero(gray); 72. IplImage* character = cvCreateImage(cvSize(rect.width, rect.height), IPL_DEPTH_8U, 1); 73. cvZero(character); 74. cvDrawContours(character, p, CV_RGB(255, 255, 255), CV_RGB(0, 0, 0), -1, -1, 8, cvPoint(-rect.x, -rect.y)); 75. 76. // ?éÒ??? 77. IplImage* normal = cvCreateImage(cvSize(16, 16), IPL_DEPTH_8U, 1); 78. cvResize(character, normal, CV_INTER_AREA); 79. cvThreshold(normal, normal, 0, 255, CV_THRESH_BINARY | CV_THRESH_OTSU);// ÐÞÕý 80. 81. // ?ÆËãÊäÈëÏòÁ? 82. float input[256]; 83. for(int i=0; i<256; i++) 84. input[i] = (normal->imageData[i]==-1); 85. 86.#if 0 87. // ÓÃ??ÊäÈë?á?û 88. cvShowImage("2", normal); 89. char c = cvWaitKey(0); 90. if(c==27) 91. return 0; 92. 93. // ?àÂë0-9:0-9 a-z:10-35 94. unsigned char cc = 255; 95. if(c>='A'&&c<='Z') 96. cc=c-'A'+10; 97. else if(c>='a'&&c<='z') 98. cc=c-'a'+10; 99. else if(c>='0'&&c<='9') 100. cc=c-'0'; 101. 102. if(cc!=255) 103. { 104. // ×ª???ÉÊä?öÏòÁ? 105. float output[36]; 106. for(int i=0; i<36; i++) 107. output[i] = 0.0f; 108. output[cc] = 1.0f; 109. 110. // ?æ??µ?Åú??ÀíÎÄ?þ 111. static FILE* batch = fopen("batch", "wb"); 112. fwrite(output, 4*36, 1, batch); 113. fwrite(input, 4*256, 1, batch); 114. 115. static int count = 0; 116. cout<h_next; 136. } 137. cout< #include #include #include using namespace std; int main( int argc, char** argv ) { cvNamedWindow("1"); cvNamedWindow("2"); IplConvKernel* se = cvCreateStructuringElementEx(2, 2, 1, 1, CV_SHAPE_CROSS); CvANN_MLP mlp; mlp.load( "mpl.xml" ); for(int i=1; i<=100; i++) { // ?úÉúÎÄ?þÃû char fn[1024]; sprintf(fn, ".//sample//%d.jpg", i); // ?ÁÈ?Í?Æ? IplImage* gray = cvLoadImage(fn, CV_LOAD_IMAGE_GRAYSCALE); // ?þÖµ?? cvThreshold(gray, gray, 180, 255, CV_THRESH_BINARY | CV_THRESH_OTSU); // È??ß?ò cvRectangle(gray, cvPoint(0, 0), cvPoint(gray->width-1, gray->height-1), CV_RGB(255, 255, 255)); // È?Ôë cvDilate(gray, gray, se); /* // µ?Õû?Ç?È cvShowImage("1", gray); IplImage* rote = cvCreateImage( cvGetSize(gray), IPL_DEPTH_8U, 1 ); double t = tan(10.0 / 180.0 * CV_PI); int w = gray->width; int h = gray->height; for(int i = 0; iimageData + gray->widthStep * i; unsigned char* lineRote = (unsigned char*)rote->imageData + rote->widthStep * i; for(int j = 0; j=10 )// ÎÄ×ÖÐèÒªÓÐ10ÏñËØ?ß?È { // ?æÖÆ?ÃÁ?Í?ÇøÓòµ?character cvZero(gray); IplImage* character = cvCreateImage(cvSize(rect.width, rect.height), IPL_DEPTH_8U, 1); cvZero(character); cvDrawContours(character, p, CV_RGB(255, 255, 255), CV_RGB(0, 0, 0), -1, -1, 8, cvPoint(-rect.x, -rect.y)); // ?éÒ??? IplImage* normal = cvCreateImage(cvSize(16, 16), IPL_DEPTH_8U, 1); cvResize(character, normal, CV_INTER_AREA); cvThreshold(normal, normal, 0, 255, CV_THRESH_BINARY | CV_THRESH_OTSU);// ÐÞÕý // ?ÆËãÊäÈëÏòÁ? float input[256]; for(int i=0; i<256; i++) input[i] = (normal->imageData[i]==-1); #if 0 // ÓÃ??ÊäÈë?á?û cvShowImage("2", normal); char c = cvWaitKey(0); if(c==27) return 0; // ?àÂë0-9:0-9 a-z:10-35 unsigned char cc = 255; if(c>='A'&&c<='Z') cc=c-'A'+10; else if(c>='a'&&c<='z') cc=c-'a'+10; else if(c>='0'&&c<='9') cc=c-'0'; if(cc!=255) { // ×ª???ÉÊä?öÏòÁ? float output[36]; for(int i=0; i<36; i++) output[i] = 0.0f; output[cc] = 1.0f; // ?æ??µ?Åú??ÀíÎÄ?þ static FILE* batch = fopen("batch", "wb"); fwrite(output, 4*36, 1, batch); fwrite(input, 4*256, 1, batch); static int count = 0; cout<h_next; } cout< 02.#include 03.using namespace std; 04. 05.void print_mat(CvMat& mat) 06.{ 07. int count = 0; 08. for(int i=0; i<4/*mat.rows*/; i++) 09. { 10. for(int j=0; jdata.fl, size-1, 1, f); 28. CvMat outputs, inputs; 29. cvGetCols(batch, &outputs, 0, 36); 30. cvGetCols(batch, &inputs, 36, 36+256); 31. 32. // ÐÂ??MPL 33. CvANN_MLP mlp; 34. int layer_sz[] = { 256, 20, 36 }; 35. CvMat layer_sizes = cvMat( 1, 3, CV_32S, layer_sz ); 36. mlp.create( &layer_sizes ); 37. 38. // ÑµÁ? 39. system( "time" ); 40. mlp.train( &inputs, &outputs, NULL, NULL, 41. CvANN_MLP_TrainParams(cvTermCriteria(CV_TERMCRIT_ITER,300,0.01), CvANN_MLP_TrainParams::RPROP, 0.01) 42. ); 43. system( "time" ); 44. 45. // ?æ??MPL 46. mlp.save( "mpl.xml" ); 47. 48. // ?âÊÔ 49. int right = 0; 50. CvMat* output = cvCreateMat( 1, 36, CV_32F ); 51. for(int i=0; i #include using namespace std; void print_mat(CvMat& mat) { int count = 0; for(int i=0; i<4/*mat.rows*/; i++) { for(int j=0; jdata.fl, size-1, 1, f); CvMat outputs, inputs; cvGetCols(batch, &outputs, 0, 36); cvGetCols(batch, &inputs, 36, 36+256); // ÐÂ??MPL CvANN_MLP mlp; int layer_sz[] = { 256, 20, 36 }; CvMat layer_sizes = cvMat( 1, 3, CV_32S, layer_sz ); mlp.create( &layer_sizes ); // ÑµÁ? system( "time" ); mlp.train( &inputs, &outputs, NULL, NULL, CvANN_MLP_TrainParams(cvTermCriteria(CV_TERMCRIT_ITER,300,0.01), CvANN_MLP_TrainParams::RPROP, 0.01) ); system( "time" ); // ?æ??MPL mlp.save( "mpl.xml" ); // ?âÊÔ int right = 0; CvMat* output = cvCreateMat( 1, 36, CV_32F ); for(int i=0; i

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