A simple segmentation approach for unconstrained cursive handwritten words in conjunction with neural network

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A simple segmentation approach for unconstrained cursive handwritten words in conjunction with neural network

This paper presents a new, simple and fast approach for character segmentation of unconstrained handwritten words. The developed segmentation algorithm over-segments in some cases due to the inherent nature of the cursive words. However the over segmentation is minimum. To increase the efficiency of...

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Bibliographic Details
Main Authors:	Khan, Amjad Rehman, Mohamad, Dzulkifli
Format:	Article
Language:	English
Published:	CSC Journals, Kuala Lumpur, Malaysia 2008
Subjects:	QA76 Computer software
Online Access:	http://eprints.utm.my/9951/ http://eprints.utm.my/9951/1/AmjadRehmanKhan2008_AsimpleSegmentationApproachforUnconstrainedCursiveS.pdf

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