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Component-based Segmentation of words from handwritten Arabic text

AlKhateeb, J. H. and Jiang, J. and Ren, Jinchang and Ipson, S. (2009) Component-based Segmentation of words from handwritten Arabic text. International Journal of Computer Systems Science and Engineering, 5 (1).

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Abstract

Efficient preprocessing is very essential for automatic recognition of handwritten documents. In this paper, techniques on segmenting words in handwritten Arabic text are presented. Firstly, connected components (ccs) are extracted, and distances among different components are analyzed. The statistical distribution of this distance is then obtained to determine an optimal threshold for words segmentation. Meanwhile, an improved projection based method is also employed for baseline detection. The proposed method has been successfully tested on IFN/ENIT database consisting of 26459 Arabic words handwritten by 411 different writers, and the results were promising and very encouraging in more accurate detection of the baseline and segmentation of words for further recognition.

Item type: Article
ID code: 29271
Keywords: ocr, offline recognition, baseline estimation, word segmentation, Electronic computers. Computer science, Electrical engineering. Electronics Nuclear engineering
Subjects: Science > Mathematics > Electronic computers. Computer science
Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Depositing user: Pure Administrator
Date Deposited: 15 Mar 2011 14:55
Last modified: 15 Apr 2015 11:04
URI: http://strathprints.strath.ac.uk/id/eprint/29271

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