Comparative systems of handwriting Arabic character recognition

Author

Asebriy, Zahra ; Bencharef, Omar ; Raghay, Said ; Chihab, Younes

Author_Institution

Dept. de Math. et Inf., Univ. Cadi Ayyad, Marrakech, Morocco

fYear

2014

Firstpage

90

Lastpage

93

Abstract

Handwriting Arabic character recognition is one of the most challenging and complex tasks of research in Optical Character Recognition (OCR) and little research has been achieved in this area in the past few decades. This is due to the cursive nature of Arabic writing and the lack of public Arabic handwriting databases. In this paper, we present a general model of OCR system and an overview on several recently researches on offline handwriting Arabic character recognition systems. To evaluate the performance of these systems we compare their results using same database Benchmarking IFN/ENIT.

Keywords

handwriting recognition; handwritten character recognition; natural language processing; optical character recognition; OCR system; handwriting Arabic character recognition; optical character recognition; public Arabic handwriting databases; Benchmark testing; Biological system modeling; Handwriting recognition; Hidden Markov models; Optical character recognition software; Optical computing; Silicon compounds; Database IFN/ENIT; Handwriting character recognition; Hidden Markov Models; OCR; Windows sliding;

fLanguage

English

Publisher

ieee

Conference_Titel

Complex Systems (WCCS), 2014 Second World Conference on

Print_ISBN

978-1-4799-4648-8

Type

conf

DOI

10.1109/ICoCS.2014.7060923

Filename

7060923