Character segmentation algorithms for Kannada optical character recognition

Author

Sagar, B.M. ; Shobha, G. ; Kumar, P. Ramakanth

Author_Institution

Inf. Sci., Visvesvaraya Technol. Univ., Bangalore

Volume

1

fYear

2008

fDate

30-31 Aug. 2008

Firstpage

339

Lastpage

342

Abstract

In this paper we discuss various character segmentation algorithms for Kannada scripts. Kannada is one of the south Indian language which has 16 vowels and 34 consonants as the basic alphabet of the language. Segmentation algorithms are constructed after the deep study of peculiarities of the individual characters of Kannada. This paper gives characteristics of Kannada scripts, two surveyed segmentation algorithms and one implemented segmentation algorithm by brute force approach.

Keywords

image segmentation; natural language processing; optical character recognition; Indian language; Kannada optical character recognition; Kannada scripts characteristics; brute force approach; character segmentation; Algorithm design and analysis; Character recognition; Image segmentation; Information science; Natural languages; Optical character recognition software; Pattern analysis; Pattern recognition; Shape; Wavelet analysis; Consonants; Segmentation; Vowels;

fLanguage

English

Publisher

ieee

Conference_Titel

Wavelet Analysis and Pattern Recognition, 2008. ICWAPR '08. International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-2238-8

Electronic_ISBN

978-1-4244-2239-5

Type

conf

DOI

10.1109/ICWAPR.2008.4635800

Filename

4635800