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Arabic online handwriting recognition: a survey

Published:17 October 2017Publication History

ABSTRACT

Nowadays, Arabic handwriting recognition is an active research area. The optical character recognition is classified into two approaches offline and online. There are many studies and applications for Arabic offline recognition, both typed and handwritten, yet there are few studies on Arabic Online recognition. Online recognition, in general, is oriented to only handwritten. The cursive, shapes, dots and delayed strokes of Arabic letters are the most challenging tasks to develop and improve an online system for the Arabic language. Moreover, handwriting of many Arab people becomes poor with low handwriting skills, especially after the cancellation of the Arabic calligraphy subject in the educational system in many Arabic countries. This paper presents a comprehensive survey on Arabic online handwriting recognition for the past few years. The paper aims to elevate the research in this subject, reveal the avenues for improving the recognition of Arabic online handwriting and enhance the skills of the Arab people in handwriting via online teaching and training system.

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      cover image ACM Other conferences
      IML '17: Proceedings of the 1st International Conference on Internet of Things and Machine Learning
      October 2017
      581 pages
      ISBN:9781450352437
      DOI:10.1145/3109761

      Copyright © 2017 ACM

      © 2017 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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      New York, NY, United States

      Publication History

      • Published: 17 October 2017

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