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