I am doing OCR application in c++ and opencv 2.4.4. I use LIBSVM for classification. In order to classification I have extracted some features like HuMoments, Area of Black-pixels, Ratio between black and white pixels, Ratio of image binding box width and height, Number intersections through the image and Number of end points of the image. In addition to those, i have read that we can use histogram based features and image profile based features. But i have no idea what are they. Can anyone give some examples about them or can anyone say that, what are the other kind of features that i can use to make the feature vector more rich.
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