Abstract
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.
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