![]() Then we decided to find contours and filter them according to their size to remove the noise.įindContours(image, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE) MorphologyEx(tmp_image, tmp, MORPH_OPEN, structElem) Mat structElem = getStructuringElement(MORPH_CROSS, Size(3, 3)) Mat skel(tmp_image.size(), CV_8UC1, Scalar(0)) We have worked with 2 sets of signatures and each of them had about 200 pictures of signatures. Then we used Mahalanobis distance to identify signatures. For this purpose we used descriptor from the bottom of the signature.
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