I'm currently using the cv2.goodFeaturesToTrack() way. However, the corners it returns are somewhat vague and doesn't really do what i wanted wherein it would put some dots on the outline of the character. Here is an attached image of how it worked on my custom dataset:
corners = cv2.goodFeaturesToTrack(crop, 8, 0.02, 10)
If cv2.goodFeaturesToTrack() is not a good way of extracting features from handwritten characters, what are some of the better ways to do it? Thank you