Visual recognition of Arabic handwriting: challenges and new directions

Authors:
Mohamed Cheriet
Affiliations:
Laboratory for Imagery, Vision and Artificial Intelligence, École de Technologie Supérieure, University of Quebec, Montreal, Quebec, Canada
Venue:
SACH'06 Proceedings of the 2006 conference on Arabic and Chinese handwriting recognition
Year:
2006

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Abstract

Automatic recognition of Arabic handwritten text presents a problem worth solving; it has increasingly more interest, especially in recent years. In this paper, we address the most frequently encountered problems when dealing with Arabic handwriting recognition, and we briefly present some lessons learned from several serious attempts. We show why morphological analysis of Arabic handwriting could improve the accuracy of Arabic handwriting recognition. In general, Arabic Natural Language Processing could provide some error handling techniques that could be used effectively to improve the overall accuracy during post-processing. We give a summary of techniques concerning Arabic handwriting recognition research. We conclude with a case study about the recognition of Tunisian city names, and place emphasis on visual-based strategies for Arabic Handwriting Recognition (AHR).