DocumentCode :
2895614
Title :
A New Method for Line Segmentation of Handwritten Hindi Text
Author :
Garg, Naresh Kumar ; Kaur, Lakhwinder ; Jindal, M.K.
Author_Institution :
GZS Coll. of Eng. & Tech., Bathinda, India
fYear :
2010
fDate :
12-14 April 2010
Firstpage :
392
Lastpage :
397
Abstract :
In this paper, we have discussed the new method for Line Segmentation of Handwritten Hindi text. The method is based on header line detection, base line detection and contour following technique. No preprocessing like skew correction, thinning or noise removal has been done on the data. The purpose of this paper is three fold. Firstly, we explained by experiments that this method is suitable for fluctuating lines or variable skew lines of text. Also, we confirm that this method is invariant of non uniform skew between words in a line (non uniform text line skew). Secondly, the contour following after header line detection correctly separates some of the overlapped lines of text. Thirdly, this paper provides a brief review of text line segmentation techniques for handwritten text which can be very useful for the beginners who want to work on text line segmentation.
Keywords :
handwritten character recognition; image segmentation; natural language processing; text analysis; base line detection; handwritten Hindi text; header line detection; line segmentation; skew correction; Character recognition; Databases; Handwriting recognition; Information technology; Linear programming; Natural languages; Optical character recognition software; Pattern recognition; Text recognition; Writing; Text line segmentation; base line detection; contour following; header line; projection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology: New Generations (ITNG), 2010 Seventh International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-6270-4
Type :
conf
DOI :
10.1109/ITNG.2010.89
Filename :
5501694
Link To Document :
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