NDLI: Segmentation of Bangla handwritten text into characters by recursive contour following

Content Provider	IEEE Xplore Digital Library
Author	Bishnu, A. Chaudhuri, B.B.
Copyright Year	1999
Description	Author affiliation: Comput. Vision & Pattern Recognition Unit, Indian Stat. Inst., Calcutta, India (Bishnu, A.)
Abstract	Segmentation of handwritten words into characters is one of the important components in handwritten text OCR. In this paper we put forward a method for the segmentation of handwritten Bangla (an Indo-Bangladeshi language) text into characters. Based on certain characteristics of Bangla writing methods, different zones across the height of the word are detected. These zones provide certain structural information about the constituent characters of the respective word. In Bangla handwritten texts often there is overlap between rectangular hulls of successive characters. As such the characters are seldom vertically separable. So, we propose a method of recursive contour following in one of the zones across the height of the word to find out the extents within which the main portion of the character lies. If the successive characters are not touching in the zone of contour following, the algorithm gives fairly good results.
Starting Page	402
Ending Page	405
File Size	71967
Page Count	4
File Format	PDF
ISBN	0769503187
DOI	10.1109/ICDAR.1999.791809
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-09-22
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Optical character recognition software Hidden Markov models Pattern recognition Image analysis Lattices Computer vision Writing Feature extraction Linear programming
Content Type	Text
Resource Type	Article

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