23 October 1996 Character recognition using a biorthogonal discrete wavelet transform
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Abstract
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.
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George S. Kapogiannopoulos, Manos Papadakis, "Character recognition using a biorthogonal discrete wavelet transform", Proc. SPIE 2825, Wavelet Applications in Signal and Image Processing IV, (23 October 1996); doi: 10.1117/12.255249; https://doi.org/10.1117/12.255249
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KEYWORDS
Optical character recognition

Wavelets

Feature extraction

Discrete wavelet transforms

Quantization

Human vision and color perception

Wavelet transforms

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