Global features for offline recognition of handwritten Arabic literal amounts

Abstract
The domain of automatic handwriting recognition has a variety of applications in real world problems such as cheque processing, office automation and data entry applications. In this paper an approach for describing the role of holistic structural features in the recognition of offline handwritten Arabic literal amounts has been presented. Our proposed system attempts to recognize words from their overall shape. The extracted features are presented to several classifiers. The system is trained and tested using an Arabic handwritten database.

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