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银行卡的数字检测
业余瞎搞,废话少说,上代码:
#pragma comment(lib, "libtesseract302.lib") #pragma comment(lib, "liblept.lib") #include <iostream> #include <string> #include <opencv.hpp> #include <opencv2\highgui\highgui.hpp> #include <tesseract\baseapi.h> #include <tesseract\strngs.h> using namespace std; cv::Mat image; string windowsname = "image"; void OnTracker(int thres, void *user) { cv::threshold(image, image, thres, 2.5*thres,CV_THRESH_BINARY); cv::imshow(windowsname, image); tesseract::TessBaseAPI api; api.Init(NULL, "eng", tesseract::OEM_DEFAULT); //识别英文 api.SetVariable( "tessedit_char_whitelist", "0123456789");//限制识别字符范围 api.SetImage(image.data,image.cols, image.rows, image.channels(), image.step); if (0==api.Recognize(NULL)) { STRING str = api.GetUTF8Text(); printf(str.string()); string strtemp = str.string(); while (1) { int k = strtemp.find_first_of(' '); if (k<0||k>=strtemp.length()) { break; } strtemp.erase(k,1); } cout << strtemp << endl; while(1) { int k = strtemp.find_first_of('\n'); if (k<0||k>=strtemp.length()) { break; } string temp = strtemp.substr(0,k); cout << temp << endl; if (temp.length() > 14) { cout << "the card numbers is :" << temp << endl;; break; } strtemp.erase(0,k+1); } } } int main() { cv::namedWindow("image", 1); image = cv::imread("test.jpg"); cv::cvtColor(image, image, CV_RGB2GRAY); int thres = 100; cv::createTrackbar("thres:", "image", &thres, 255, OnTracker); cv::imshow(windowsname, image); cv::waitKey(0); return 0; }
对数字3和8偶尔会出现检测不准确的现象
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