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This paper addresses the problem of handwritten and printed text separation in Arabic document images. The objective is to extract handwritten text from other parts of the document. This allows the application, in a second time, of a specialized processing on the extracted handwritten part or even on the printed one. Documents are first preprocessed in order to remove eventual noise and correct document...
In this work, a system based on a Bayesian approach, for the off-line recognition of handwritten arabic words, is proposed. Different structural features such as ascenders, descenders, loops and diacritic, are extracted from word's image, tacking into account the morphology of handwritten arabic words. For accurate features extraction, we proposed a novel method to estimate the word's baseline and...
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