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Knowledge-based baseline detection and optimal thresholding for words segmentation in efficient pre-processing of handwritten Arabic text

Alkhateeb, JH, Ren, J, Ipson, SS and Jiang, J (2008) Knowledge-based baseline detection and optimal thresholding for words segmentation in efficient pre-processing of handwritten Arabic text In: ITNG 2008, 2008-04-07 - 2008-04-09, Las Vegas, USA.

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Abstract

Techniques on detecting baseline and segmenting words in handwritten Arabic text are presented in this paper. Instead of using pure projection, knowledge of the location of the baseline is utilized for accurate baseline detection. Then, distances between words and subwords are respectively analyzed, and their statistical distributions are obtained to decide an optimal threshold in segmenting words. Results on IFN/ENIT database have validated our methods in terms of improved baseline detection and words segmentation for further recognition.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Alkhateeb, JHUNSPECIFIEDUNSPECIFIED
Ren, JUNSPECIFIEDUNSPECIFIED
Ipson, SSUNSPECIFIEDUNSPECIFIED
Jiang, Jjianmin.jiang@surrey.ac.ukUNSPECIFIED
Date : 2008
Identification Number : https://doi.org/10.1109/ITNG.2008.71
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:24
Last Modified : 17 May 2017 15:03
URI: http://epubs.surrey.ac.uk/id/eprint/835200

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