An effective approach to offline Arabic handwriting recognition

Al Abodi, Jafaar and Li, Xue (2014) An effective approach to offline Arabic handwriting recognition. Computers and Electrical Engineering, 40 6: 1883-1901. doi:10.1016/j.compeleceng.2014.04.014

Author Al Abodi, Jafaar
Li, Xue
Title An effective approach to offline Arabic handwriting recognition
Journal name Computers and Electrical Engineering   Check publisher's open access policy
ISSN 0045-7906
Publication date 2014-08
Year available 2014
Sub-type Article (original research)
DOI 10.1016/j.compeleceng.2014.04.014
Open Access Status
Volume 40
Issue 6
Start page 1883
End page 1901
Total pages 19
Place of publication Kidlington, Oxford, United Kingdom
Publisher Pergamon Press
Collection year 2015
Language eng
Abstract Segmentation is the most challenging part of Arabic handwriting recognition due to the unique characteristics of Arabic writing that allow the same shape to denote different characters. An Arabic handwriting recognition system cannot be successful without using an appropriate segmentation method. In this paper, a very effective and efficient off-line Arabic handwriting recognition approach is proposed. The proposed approach has three stages. Firstly, all characters are simplified to single-pixel-thin images that preserve the fundamental writing characteristics. Secondly, the image pixels are normalized into horizontal and vertical lines only. Therefore, the different writing styles can be unified and the shapes of characters are standardized. Finally, these orthogonal lines are coded as unique vectors; each vector represents one letter of a word. To evaluate the proposed techniques, we have tested our approach on two different datasets. Our experimental results show that the proposed approach has superior performance over the state-of-the-art approaches.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2015 Collection
School of Information Technology and Electrical Engineering Publications
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