Title of article :
Segmentation of Handwritten Hindi Text
Author/Authors :
Naresh Kumar Garg، نويسنده , , Lakhwinder Kaur، نويسنده , , M. K. Jindal، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Abstract :
The main purpose of this paper is to provide the new segmentation technique based on structure approach for Handwritten Hindi text. Segmentation is one of the major stages of character recognition. The handwritten text is separated into lines, lines into words and words into characters. The errors in segmentation propagate to recognition. The performance is evaluated on handwritten data of 1380 words of 200 lines written by 15 different writers. The overall results of segmentation are very promising.
Keywords :
Base line , Header line , segmentation , word segmentation , Character segmentation , upper modifier , Line segmentation , lower modifier
Journal title :
International Journal of Computer Applications
Journal title :
International Journal of Computer Applications