std::string identifyText(cv::Mat input, std::string language)
{
ocr.Init(NULL, language.c_str(), tesseract::OEM_TESSERACT_ONLY);
//std::string whitelist = "АБВГДЕЖЗИЙКЛМНОПРСТУФХЦЧШЩЪЫЬЭЮЯабвгдежзийклмнопрстуфхцчшщъыьэюяabcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789,.:";
//ocr.SetVariable("tessedit_char_whitelist", whitelist.c_str());
ocr.SetPageSegMode(tesseract::PSM_SINGLE_BLOCK);
ocr.SetImage(input.data, input.cols, input.rows, 1, input.step);
std::string text = ocr.GetUTF8Text();
return text;
}
int SubsExtractor::ocr(char *outtext)
{
Mat crop,crop2;
Mat(img, ROI).copyTo(crop);
cvtColor(crop, crop2, CV_BGR2GRAY);
//adaptiveThreshold(crop2,crop,255,CV_ADAPTIVE_THRESH_GAUSSIAN_C,CV_THRESH_BINARY,3,5);
int th1 = 200;
int th2 = 255;
threshold(crop2,crop,th1,th2,THRESH_BINARY);
//tesseract::TessBaseAPI tess;
tess.SetImage((uchar *)crop.data,crop.cols,crop.rows,1,crop.cols);
imshow("control", crop);
char *s;
if((s = tess.GetUTF8Text()) != NULL) {
//fprintf(stderr,"OCR: %s\n",s);
strcpy(outtext,s);
return strlen(outtext);
}
return 0;
}
int detectNumber(Mat img){
//Mat circ = copyContour(img, circle);
inRange(img, Scalar(0, 0, 51), Scalar(255, 255, 255), img); //filter black
tess.SetImage((uchar*)img.data, img.size().width, img.size().height, img.channels(), img.step1());
//tess.SetRectangle(circle[0]-circle[2], circle[1]-circle[2],2*circle[2],2*circle[2]);
string out = string (tess.GetUTF8Text());
out.erase( std::remove_if( out.begin(), out.end(), ::isspace ), out.end() );
const char* result = out.c_str();
//printf("%s\n", result);
switch(atoi(result)){
case 10: return 5;
case 20: return 6;
case 30: return 7;
case 40: return 8;
case 50: return 9;
case 60: return 10;
case 70: return 11;
case 80: return 12;
}
//rectangle(img, Point(circle[0]-circle[2], circle[1]-circle[2]), Point(circle[0]+circle[2], circle[1]+circle[2]), Scalar (100,255,255),3,8,0);
// imwrite("./test.png", img);
return -1;}
void run(Mat& image, string& output, vector<Rect>* component_rects=NULL,
vector<string>* component_texts=NULL, vector<float>* component_confidences=NULL,
int component_level=0)
{
CV_Assert( (image.type() == CV_8UC1) || (image.type() == CV_8UC3) );
#ifdef HAVE_TESSERACT
if (component_texts != 0)
component_texts->clear();
if (component_rects != 0)
component_rects->clear();
if (component_confidences != 0)
component_confidences->clear();
tess.SetImage((uchar*)image.data, image.size().width, image.size().height, image.channels(), image.step1());
tess.Recognize(0);
char *outText;
outText = tess.GetUTF8Text();
output = string(outText);
delete [] outText;
if ( (component_rects != NULL) || (component_texts != NULL) || (component_confidences != NULL) )
{
tesseract::ResultIterator* ri = tess.GetIterator();
tesseract::PageIteratorLevel level = tesseract::RIL_WORD;
if (component_level == OCR_LEVEL_TEXTLINE)
level = tesseract::RIL_TEXTLINE;
if (ri != 0) {
do {
const char* word = ri->GetUTF8Text(level);
if (word == NULL)
continue;
float conf = ri->Confidence(level);
int x1, y1, x2, y2;
ri->BoundingBox(level, &x1, &y1, &x2, &y2);
if (component_texts != 0)
component_texts->push_back(string(word));
if (component_rects != 0)
component_rects->push_back(Rect(x1,y1,x2-x1,y2-y1));
if (component_confidences != 0)
component_confidences->push_back(conf);
delete[] word;
} while (ri->Next(level));
}
delete ri;
}
tess.Clear();
#else
cout << "OCRTesseract(" << component_level << image.type() <<"): Tesseract not found." << endl;
output.clear();
if(component_rects)
component_rects->clear();
if(component_texts)
component_texts->clear();
if(component_confidences)
component_confidences->clear();
#endif
}