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). (http://www.waset.org/journals/waset/v41/v41-61.pdf)
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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.
ORCID iDs
AlKhateeb, J. H., Jiang, J., Ren, Jinchang ORCID: https://orcid.org/0000-0001-6116-3194 and Ipson, S.;-
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Item type: Article ID code: 29271 Dates: DateEvent2009PublishedSubjects: Science > Mathematics > Electronic computers. Computer science
Technology > Electrical engineering. Electronics Nuclear engineeringDepartment: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 15 Mar 2011 14:55 Last modified: 24 Oct 2024 00:22 URI: https://strathprints.strath.ac.uk/id/eprint/29271