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A Survey on Arabic Handwritten Character Recognition

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Abstract

There are much heavy studies on handwritten character recognition (HCR) for nearly previous four decades. The research on some of the common script like Arabic, Indian and Chinese has been done. This manuscript presents a survey of character recognition on Arabic script, and most of the popular published paper methods are summarized and also analyzed different methods for building a robust system of HCR and included some future research on recognition direction of handwritten character. The paper analyzed and presented various algorithms with respect to preprocessing methods, segmentation methods, feature extraction methods and various classification approaches of the Arabic character recognition.

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Authors and Affiliations

  1. Taiz University, Taiz, Yemen

    Amani Ali Ahmed Ali

  2. Kuvempu University, Shimoga, India

    Amani Ali Ahmed Ali & M. Suresha

  3. Thissufal, Ibb, Yemen

    Heba Ali Mohsin Ahmed

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  1. Amani Ali Ahmed Ali
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  2. M. Suresha
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  3. Heba Ali Mohsin Ahmed
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Correspondence to Amani Ali Ahmed Ali.

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This article is part of the topical collection “Advances in Computational Approaches for Artificial Intelligence, Image Processing, IoT and Cloud Applications” guest edited by Bhanu Prakash K N and M. Shivakumar.

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Ali, A.A.A., Suresha, M. & Ahmed, H.A.M. A Survey on Arabic Handwritten Character Recognition. SN COMPUT. SCI. 1, 152 (2020). https://doi.org/10.1007/s42979-020-00168-1

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