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Comprehensive handwriting databases are crucial to train and test script recognition systems. However their generation is expensive in sense of manpower and time. As a result there is a lack of such databases which impedes research and development. This is especially true in case of holistic word recognition, since various samples must be available for each entry of the underlying vocabulary. To bypass...
A lot of research has been conducted in order to solve the problem of unconstrained Arabic handwriting recognition. Nonetheless, an effective solution is still a serious challenge. In this paper, we propose an new Active Shape Model (ASM) based approach for recognition of Arabic handwritten text. Character candidate representations are generated using chamfer distance transforms, and optimal parameters...
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