OCR project
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								ImageTreatment/extraction/extractchar.c
									
									
									
									
									
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								ImageTreatment/extraction/extractchar.c
									
									
									
									
									
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							| @@ -0,0 +1,159 @@ | ||||
| #include "extractchar.h" | ||||
|  | ||||
| #include <string.h> | ||||
|  | ||||
| #include "../display.h" | ||||
|  | ||||
| /* | ||||
| Return the number of word in the current image | ||||
| */ | ||||
| int countwc(SDL_Surface *img) | ||||
| { | ||||
|     int w = img->w; | ||||
|     Uint32 pixel = 0; | ||||
|     Uint8 r, g, b; | ||||
|     int count = 0; | ||||
|  | ||||
|     for (int i = 0; i < w; i++) | ||||
|     { | ||||
|         pixel = getpixel(img, i, 1); | ||||
|         SDL_GetRGB(pixel, img->format, &r, &g, &b); | ||||
|         if ((r == 1 && g == 100 && b == 100)) | ||||
|         { | ||||
|             count++; | ||||
|         } | ||||
|     } | ||||
|  | ||||
|     return count; | ||||
| } | ||||
|  | ||||
| /* | ||||
| Return an array of the position of words in the current image | ||||
| */ | ||||
| void ReturnPoswc(SDL_Surface *img, int *tab) | ||||
| { | ||||
|     int w = img->w; | ||||
|     Uint32 pixel = 0; | ||||
|     Uint8 r, g, b; | ||||
|     int count = 0; | ||||
|  | ||||
|     for (int i = 0; i < w; i++) | ||||
|     { | ||||
|         pixel = getpixel(img, i, 1); | ||||
|         SDL_GetRGB(pixel, img->format, &r, &g, &b); | ||||
|         if ((r == 1 && g == 100 && b == 100)) | ||||
|         { | ||||
|             tab[count] = i; | ||||
|             count++; | ||||
|         } | ||||
|     } | ||||
| } | ||||
|  | ||||
| /* | ||||
| Create a new surface and extract the word for charactere segmentation | ||||
| */ | ||||
| void extractword(SDL_Surface *img, int x, int y, Neural_Network *network, | ||||
|                  char *str) | ||||
| { | ||||
|     SDL_Surface *new = CreateWhiteSurface(y - x + 1, img->h, img); | ||||
|     Uint32 pixel = 0; | ||||
|  | ||||
|     for (int i = x + 1; i < y; i++) | ||||
|     { | ||||
|         for (int j = 0; j < img->h; j++) | ||||
|         { | ||||
|             pixel = getpixel(img, i, j); | ||||
|             putpixel(new, i - x, j, pixel); | ||||
|         } | ||||
|     } | ||||
|  | ||||
|     SDL_SaveBMP(new, "final12.bmp"); | ||||
|     __extractchar(new, network, str); | ||||
|     SDL_FreeSurface(new); | ||||
| } | ||||
|  | ||||
| /* | ||||
| Create a new surface and extract the caracters for neural network | ||||
| */ | ||||
| void __extractword(SDL_Surface *img, Neural_Network *network, char *str) | ||||
| { | ||||
|     SDL_Surface *loadedImage = resize(img, 1218, 41); | ||||
|     cutword(loadedImage); | ||||
|     int count = countwc(loadedImage); | ||||
|     int *tab = malloc(sizeof(int) * count); | ||||
|     ReturnPoswc(loadedImage, tab); | ||||
|  | ||||
|     for (int i = 0; i < count - 1; i += 1) | ||||
|     { | ||||
|         extractword(loadedImage, tab[i], tab[i + 1], network, str); | ||||
|         char a[] = " "; | ||||
|         strcat(str, a); | ||||
|     } | ||||
|  | ||||
|     SDL_FreeSurface(loadedImage); | ||||
|     free(tab); | ||||
| } | ||||
|  | ||||
| int fullofwhite(SDL_Surface *img) | ||||
| { | ||||
|     Uint32 pixel = 0; | ||||
|     Uint8 r, g, b; | ||||
|  | ||||
|     for (int i = 0; i < img->h; i++) | ||||
|     { | ||||
|         for (int j = 0; j < img->w; j++) | ||||
|         { | ||||
|             pixel = getpixel(img, j, i); | ||||
|             SDL_GetRGB(pixel, img->format, &r, &g, &b); | ||||
|             if (r == 0 && g == 0 && b == 0) | ||||
|             { | ||||
|                 return 1; | ||||
|             } | ||||
|         } | ||||
|     } | ||||
|  | ||||
|     return 0; | ||||
| } | ||||
|  | ||||
| void extractchar(SDL_Surface *img, int x, int y, Neural_Network *network, | ||||
|                  char *str) | ||||
| { | ||||
|     SDL_Surface *new = CreateWhiteSurface(y - x + 1, img->h, img); | ||||
|     Uint32 pixel = 0; | ||||
|  | ||||
|     for (int i = x + 1; i < y; i++) | ||||
|     { | ||||
|         for (int j = 0; j < img->h; j++) | ||||
|         { | ||||
|             pixel = getpixel(img, i, j); | ||||
|             putpixel(new, i - x, j, pixel); | ||||
|         } | ||||
|     } | ||||
|     if (fullofwhite(new)) | ||||
|     { | ||||
|         double *letter = segmentationtomatrix(new, 20); | ||||
|         ForwardPass(letter, network); | ||||
|         free(letter); | ||||
|         char a[2]; | ||||
|         a[0] = indiceToChar(network->output); | ||||
|         a[1] = '\0'; | ||||
|         strcat(str, a); | ||||
|     } | ||||
| } | ||||
|  | ||||
| void __extractchar(SDL_Surface *img, Neural_Network *network, char *str) | ||||
| { | ||||
|     SDL_Surface *loadedImage = copy_image(img); | ||||
|     CutColumn(loadedImage, 0, img->h); | ||||
|     int count = countwc(loadedImage); | ||||
|     int *tab = malloc(sizeof(int) * count); | ||||
|     ReturnPoswc(loadedImage, tab); | ||||
|  | ||||
|     for (int i = 0; i < count - 1; i += 1) | ||||
|     { | ||||
|         extractchar(loadedImage, tab[i], tab[i + 1], network, str); | ||||
|     } | ||||
|  | ||||
|     SDL_FreeSurface(loadedImage); | ||||
|     free(tab); | ||||
| } | ||||
							
								
								
									
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								ImageTreatment/extraction/extractchar.h
									
									
									
									
									
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										18
									
								
								ImageTreatment/extraction/extractchar.h
									
									
									
									
									
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							| @@ -0,0 +1,18 @@ | ||||
| #ifndef _EXTRACTIONCHAR_H | ||||
| #define _EXTRACTIONCHAR_H | ||||
|  | ||||
| #include "../../NeuralNetwork/structure.h" | ||||
| #include "../../NeuralNetwork/toolsnetworks.h" | ||||
| #include "../../NeuralNetwork/traitement.h" | ||||
| #include "../Segmentation/segmentation.h" | ||||
|  | ||||
| void extractword(SDL_Surface *img, int x, int y, Neural_Network *network, | ||||
|                  char *str); | ||||
| int countwc(SDL_Surface *img); | ||||
| void ReturnPoswc(SDL_Surface *img, int *tab); | ||||
| void __extractword(SDL_Surface *img, Neural_Network *network, char *str); | ||||
| void __extractchar(SDL_Surface *img, Neural_Network *network, char *str); | ||||
| void extractchar(SDL_Surface *img, int x, int y, Neural_Network *network, | ||||
|                  char *str); | ||||
|  | ||||
| #endif | ||||
							
								
								
									
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								ImageTreatment/extraction/extraction.c
									
									
									
									
									
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										142
									
								
								ImageTreatment/extraction/extraction.c
									
									
									
									
									
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							| @@ -0,0 +1,142 @@ | ||||
| #include "extraction.h" | ||||
|  | ||||
| #include <string.h> | ||||
|  | ||||
| #include "../Segmentation/segmentation.h" | ||||
| #include "../display.h" | ||||
| #include "extractchar.h" | ||||
|  | ||||
| /* | ||||
| Count the number of line and paragraph in the current image | ||||
| */ | ||||
| int countlinepar(SDL_Surface *img) | ||||
| { | ||||
|     int h = img->h; | ||||
|     Uint32 pixel = 0; | ||||
|     Uint8 r, g, b; | ||||
|     int count = 0; | ||||
|  | ||||
|     for (int i = 0; i < h; i++) | ||||
|     { | ||||
|         pixel = getpixel(img, 1, i); | ||||
|         SDL_GetRGB(pixel, img->format, &r, &g, &b); | ||||
|         if ((r == 0 && g == 0 && b == 255) | ||||
|             || (r == 255 && g == 150 && b == 255)) | ||||
|         { | ||||
|             count++; | ||||
|         } | ||||
|     } | ||||
|  | ||||
|     return count; | ||||
| } | ||||
|  | ||||
| /* | ||||
| Fill an array with the position of line and paragraph | ||||
| */ | ||||
| void ReturnPosPar(SDL_Surface *img, int *tab) | ||||
| { | ||||
|     int h = img->h; | ||||
|     Uint32 pixel = 0; | ||||
|     Uint8 r, g, b; | ||||
|     int count = 0; | ||||
|  | ||||
|     for (int i = 0; i < h; i++) | ||||
|     { | ||||
|         pixel = getpixel(img, 1, i); | ||||
|         SDL_GetRGB(pixel, img->format, &r, &g, &b); | ||||
|         if ((r == 0 && g == 0 && b == 255) | ||||
|             || (r == 255 && g == 150 && b == 255)) | ||||
|         { | ||||
|             tab[count] = i; | ||||
|             count++; | ||||
|         } | ||||
|     } | ||||
| } | ||||
|  | ||||
| /* | ||||
| Create a new surface and paragraph for line segmentation | ||||
| */ | ||||
| void extractpar(SDL_Surface *img, int x, int y, Neural_Network *network, | ||||
|                 char *str) | ||||
| { | ||||
|     SDL_Surface *new = CreateWhiteSurface(img->w, y - x + 1, img); | ||||
|     Uint32 pixel = 0; | ||||
|  | ||||
|     for (int i = 0; i < img->w; i++) | ||||
|     { | ||||
|         for (int j = x + 1; j < y; j++) | ||||
|         { | ||||
|             pixel = getpixel(img, i, j); | ||||
|             putpixel(new, i, j - x, pixel); | ||||
|         } | ||||
|     } | ||||
|  | ||||
|     __extractline(new, network, str); | ||||
|     SDL_FreeSurface(new); | ||||
| } | ||||
|  | ||||
| void __extractpar(SDL_Surface *img, Neural_Network *network, char *str) | ||||
| { | ||||
|     SDL_Surface *imagev = copy_image(img); | ||||
|     SDL_Surface *imagerlsa = copy_image(img); | ||||
|     SDL_Surface *copy_image1 = copy_image(img); | ||||
|     blockDetection_vertical(imagev); | ||||
|     drawBlocks(imagerlsa, imagev); | ||||
|     drawBlocksLines(copy_image1, imagerlsa); | ||||
|     int count = countlinepar(copy_image1); | ||||
|     int *tab = malloc(sizeof(int) * count); | ||||
|     ReturnPosPar(copy_image1, tab); | ||||
|  | ||||
|     for (int i = 0; i < count - 1; i += 2) | ||||
|     { | ||||
|         extractpar(copy_image1, tab[i], tab[i + 1], network, str); | ||||
|         char a[] = "\n\n\n"; | ||||
|         strcat(str, a); | ||||
|     } | ||||
|  | ||||
|     SDL_FreeSurface(imagerlsa); | ||||
|     SDL_FreeSurface(imagev); | ||||
|     SDL_FreeSurface(copy_image1); | ||||
|     free(tab); | ||||
| } | ||||
|  | ||||
| /* | ||||
| Create a new surface and extract the line for word segmentation | ||||
| */ | ||||
| void extractline(SDL_Surface *img, int x, int y, Neural_Network *network, | ||||
|                  char *str) | ||||
| { | ||||
|     SDL_Surface *new = CreateWhiteSurface(img->w, y - x + 1, img); | ||||
|     Uint32 pixel = 0; | ||||
|  | ||||
|     for (int i = 0; i < img->w; i++) | ||||
|     { | ||||
|         for (int j = x + 1; j < y; j++) | ||||
|         { | ||||
|             pixel = getpixel(img, i, j); | ||||
|             putpixel(new, i, j - x, pixel); | ||||
|         } | ||||
|     } | ||||
|  | ||||
|     __extractword(new, network, str); | ||||
|     SDL_FreeSurface(new); | ||||
| } | ||||
|  | ||||
| void __extractline(SDL_Surface *img, Neural_Network *network, char *str) | ||||
| { | ||||
|     SDL_Surface *copy = copy_image(img); | ||||
|     CutLines(copy, 0); | ||||
|     int count = countlinepar(copy); | ||||
|     int *tab = malloc(sizeof(int) * count); | ||||
|     ReturnPosPar(copy, tab); | ||||
|  | ||||
|     for (int i = 0; i < count - 1; i += 2) | ||||
|     { | ||||
|         extractline(copy, tab[i], tab[i + 1], network, str); | ||||
|         char a[] = "\n"; | ||||
|         strcat(str, a); | ||||
|     } | ||||
|  | ||||
|     SDL_FreeSurface(copy); | ||||
|     free(tab); | ||||
| } | ||||
							
								
								
									
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								ImageTreatment/extraction/extraction.h
									
									
									
									
									
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										16
									
								
								ImageTreatment/extraction/extraction.h
									
									
									
									
									
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							| @@ -0,0 +1,16 @@ | ||||
| #ifndef _EXTRACTION_H | ||||
| #define _EXTRACTION_H | ||||
|  | ||||
| #include "../../NeuralNetwork/structure.h" | ||||
| #include "../Segmentation/segmentation.h" | ||||
|  | ||||
| void extractpar(SDL_Surface *img, int x, int y, Neural_Network *network, | ||||
|                 char *str); | ||||
| int countlinepar(SDL_Surface *img); | ||||
| void ReturnPosPar(SDL_Surface *img, int *tab); | ||||
| void __extractpar(SDL_Surface *img, Neural_Network *network, char *str); | ||||
| void __extractline(SDL_Surface *img, Neural_Network *network, char *str); | ||||
| void extractline(SDL_Surface *img, int x, int y, Neural_Network *network, | ||||
|                  char *str); | ||||
|  | ||||
| #endif | ||||
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