Complete Kannada Optical Character Recognition with syntactical analysis of the script

Author

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

Author_Institution

ISE Dept., R.V. Coll. of Eng., Bangalore

fYear

2008

fDate

18-20 Dec. 2008

Firstpage

1

Lastpage

4

Abstract

In this paper, the development of Kannada optical character recognition (OCR) is discussed. In the process of development the preprocessing, segmentation, character recognition and post-processing modules were detailed in this paper. Since all most all the characters are in curve sharp, non-cursive the segmentation, character recognition and post processing is not easy for Kannada Script. Post Processing technique uses a dictionary based approach in order to increase the OCR output. At the end of this paper we have also discussed the syntactical analysis of Kannada Script. It is the analysis of grammatical errors in the language for kannada script.

Keywords

image segmentation; optical character recognition; text analysis; Kannada optical character recognition; Kannada script; grammatical errors; syntactical analysis; textual image; Character recognition; Data structures; Dictionaries; Educational institutions; Hidden Markov models; Image converters; Image segmentation; Optical character recognition software; Optical network units; Presses; Non-cursive; Optical Character Recognition (OCR); Post Processing; Syntactic Analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing, Communication and Networking, 2008. ICCCn 2008. International Conference on

Conference_Location

St. Thomas, VI

Print_ISBN

978-1-4244-3594-4

Electronic_ISBN

978-1-4244-3595-1

Type

conf

DOI

10.1109/ICCCNET.2008.4787744

Filename

4787744