Acquisition Segmentation Feature Extraction Classification Post Processing Pre - Processing
نویسنده
چکیده
Arabic script is the third most widely used writing system after Latin and Chinese, but research in Arabic Optical Character Recognition (OCR) is still nascent in comparison to Latin script. Arabic script is inherently cursive in nature, therefore techniques developed for other scripts are generally inappropriate for Arabic. In this paper we present recent progress in the field of Handwritten Arabic Text Recognition. We present the recent techniques developed, classified as steps of a general OCR system. Beginning with image acquisition and preprocessing techniques for Handwritten Arabic Text Recognition., we next present the methods for segmentation, feature extraction and classification. In the end we conclude with a discussion of future directions in Handwritten Arabic Text Recognition. [Usman Saeed. Automatic Recognition of Handwritten Arabic Text: A Survey. Life Sci J 2014;11(3s):232-235]. (ISSN:1097-8135). http://www.lifesciencesite.com. 35
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