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Survey on Segmentation and Recognition of Handwritten Arabic Script

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Abstract

The issue of handwritten recognition in Arabic script nature has attracted many researchers from both academic and industrial fields. But their efforts have not reached satisfying outcomes till now. In this paper, a survey has been done in segmentation and recognition of handwritten documents in Arabic script. Most of the previous published works have been analyzed, and some remedies have been suggested. Various strategies used for creating a powerful recognition system have been summarized. This paper presents various algorithms with respect to text, word and characters segmentation and recognition of Arabic document. It analyzes the recognition stage of Arabic script depending on segmentation strategies.

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Authors and Affiliations

  1. Department of Computer Science, Taiz University, Taiz, Yemen

    Amani Ali Ahmed Ali

  2. Department of Computer Science and MCA, Kuvempu University, Shimoga, India

    Amani Ali Ahmed Ali & M. Suresha

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  1. Amani Ali Ahmed Ali
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  2. M. Suresha
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Ali, A.A.A., Suresha, M. Survey on Segmentation and Recognition of Handwritten Arabic Script. SN COMPUT. SCI. 1, 192 (2020). https://doi.org/10.1007/s42979-020-00187-y

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