You can use OpennCV Template Matching algorithm..
please try it..
download opencv2.framework from https://github.com/Fl0p/OpenCV-iOS
download UIImage+OpenCV from https://github.com/aptogo/OpenCVForiPhone/tree/master/OpenCVClient
import files opencv2/nonfree/nonfree.hpp, opencv2/highgui/highgui.hpp, opencv2/calib3d/calib3d.hpp, UIImage+OpenCV.h
use this function for matching images.
-(BOOL) matchImages:(UIImage*)largerImage Image2:(UIImage*)subImage
{
cv::Mat tempMat1 = [largerImage CVMat];
cv::Mat tempMat2 = [subImage CVMat];
cv::Mat result;
int match_method = CV_TM_SQDIFF_NORMED;
//cv::cvtColor(tempMat1, debug, CV_GRAY2BGR);
//cv::cvtColor(tempMat1, tempMat1, cv::COLOR_RGB2GRAY);
//cv::cvtColor(tempMat2, tempMat2, cv::COLOR_RGB2GRAY);
int result_cols = tempMat1.cols - tempMat2.cols + 1;
int result_rows = tempMat1.rows - tempMat2.rows + 1;
result.create( result_cols, result_rows, CV_32FC1 );
/// Do the Matching and Normalize
cv::matchTemplate( tempMat1,tempMat2 ,result,match_method);
double minVal; double maxVal;
cv::Point minLoc, maxLoc, matchLoc;
cv::minMaxLoc(result, &minVal, &maxVal, &minLoc, &maxLoc, cv::Mat() );
if( match_method == CV_TM_SQDIFF || match_method == CV_TM_SQDIFF_NORMED ) matchLoc = minLoc;
else matchLoc = maxLoc;
//NSLog(@"%d %d",tempMat1.cols,tempMat1.rows);
NSLog(@"%f %f",minVal,maxVal);
if (minVal < 0.25) {
NSLog(@"success");
//cv::rectangle(tempMat1,matchLoc,cv::Point(matchLoc.x + tempMat2.cols , matchLoc.y + tempMat2.rows),CV_RGB(255,0,0),3);
//UIImage *resImage = [[UIImage alloc] initWithCVMat:tempMat1];
//UIImageView * imageview = [[UIImageView alloc] initWithImage:resImage];
//[imageview setFrame:CGRectMake(0, 0, resImage.size.width, resImage.size.height)];
//[self.view addSubview:imageview];
return YES;
}
else {
return NO;
}
}