Title of article :
Isolated Handwritten Words Segmentation Techniques in Gurmukhi Script
Author/Authors :
Galaxy Bansal، نويسنده , , Dharamveer Sharma، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Pages :
8
From page :
104
To page :
111
Abstract :
Segmentation of handwritten words is a challenging task primarily because of structural features of the script and varied writing styles. Handwritten words are also prone to the problem of overlapped, connected, merged and broken characters. Based on certain properties of Gurmukhi script, different zones across the height of word are detected. Segmentation accuracy of 72.6% has been achieved with the use of the algorithms for segmenting all types of words. Segmentation accuracy of 88.1% has been achieved for segmenting all types of handwritten words in Gurmukhi script. Further, different categories of overlapping and touching characters in all the three zones (upper, middle and lower zone) of handwritten words in Gurmukhi script have been identified on the basis of structural properties of Gurmukhi script. A method for segmenting overlapping characters in middle zone has been proposed.
Journal title :
International Journal of Computer Applications
Serial Year :
2010
Journal title :
International Journal of Computer Applications
Record number :
658348
Link To Document :
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