Character recognition using a biorthogonal discrete wavelet transform
George S. Kapogiannopoulos, Manos Papadakis · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1996
We present an approach to off-line optical character recognition for hand-written or printed characters using for feature extraction and classification biorthogonal discrete wavelet transform. Our aim is to optimize character recognition methods independently of printing styles, writing styles and fonts used. Characters are identified with their contours, thus characterized from their curvature function. Curvature function is used for feature extraction while classification is accomplished by LVQ algorithms. This method achieves great recognition accuracy and font insensitivity requiring only a small training set of characters.