Assamese online handwritten digit recognition system using hidden Markov models
Proceeding of the workshop on Document Analysis and Recognition
Evaluation Approach of Arabic Character Recognition
International Journal of Computer Vision and Image Processing
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This paper presents a complete system to recognize off-line Arabic handwriting. The proposed system starts from preprocessing and segmentation phases. It also includes thinning phase and finds vertical and horizontal projection profiles. The recognition phase is managed by genetic algorithm. The genetic algorithm stands on feature extraction algorithm that defines six features for each segment.