DocumentCode :
1776430
Title :
Segmentation in Malayalam OCR — Handling broken characters using active contour model
Author :
Praseetha, M. ; Deepa, S.S.
Author_Institution :
Dept. of Comput. Sci. & Eng., Coll. of Eng., Trivandrum, India
fYear :
2014
fDate :
10-11 July 2014
Firstpage :
958
Lastpage :
962
Abstract :
Character segmentation is a significant phase in an Optical Character Recognition (OCR) system. In this stage of OCR, the image of sequence of characters is decomposed into sub-images of individual symbols. The recognition of characters depends on this phase so that any mistake in the segmentation leads to a complete failure of the OCR system. One of the main reasons for incorrect segmentation of characters is the presence of broken characters in the input document. Here an approach based on Active Contour Model is proposed to solve this problem.
Keywords :
image segmentation; image sequences; optical character recognition; Malayalam OCR; OCR system; active contour model; broken character handling; character segmentation; character sequence; optical character recognition system; Active contours; Algorithm design and analysis; Character recognition; Feature extraction; Image segmentation; Integrated optics; Optical character recognition software; Active Contour Model; Broken characters; Image segmentation; Malayalam characters; Optical Character Recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International Conference on
Conference_Location :
Kanyakumari
Print_ISBN :
978-1-4799-4191-9
Type :
conf
DOI :
10.1109/ICCICCT.2014.6993097
Filename :
6993097
Link To Document :
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