Title :
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
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;
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
DOI :
10.1109/ICWAPR.2008.4635800
