A three tier scheme for Devanagari hand-printed character recognition

Author

Kumar, Satish

Author_Institution

Dept. of Comput. Sci. & Applic., Panjab Univ. Regional Centre, Muktsar, India

fYear

2009

fDate

9-11 Dec. 2009

Firstpage

1016

Lastpage

1021

Abstract

In this paper, a three tier strategy is suggested to recognize the hand-printed characters of Devanagari script. In primary and secondary stage classification, the structural properties of the script are exploited to avoid classification error. The results of all the three stages are reported on two classifiers i.e. MLP and SVM and the results achieved with the later are very good. The performance of the proposed scheme is reported in respect of recognition accuracy and time. The recognition rate achieved with the proposed scheme is 94.2% on our database consisting of more than 25000 characters belonging to 43 alphabets.

Keywords

handwritten character recognition; image recognition; multilayer perceptrons; support vector machines; Devanagari hand-printed character recognition; Devanagari script; MLP; SVM; classification error; recognition rate; structural properties; three tier scheme; Application software; Character recognition; Computer errors; Computer science; Databases; Feature extraction; Multilayer perceptrons; Optical character recognition software; Support vector machine classification; Support vector machines; Devanagari; Hand-printed; Multi-stage; Multilayer Perceptron; Support Vector Machine;

fLanguage

English

Publisher

ieee

Conference_Titel

Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on

Conference_Location

Coimbatore

Print_ISBN

978-1-4244-5053-4

Type

conf

DOI

10.1109/NABIC.2009.5393857

Filename

5393857