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Reseach Article

Special Approach for Recognition of Handwritten MODI Script’s Vowels

Published on September 2012 by D. N. Besekar
National Conference "MEDHA 2012"
Foundation of Computer Science USA
MEDHA - Number 1
September 2012
Authors: D. N. Besekar

D. N. Besekar . Special Approach for Recognition of Handwritten MODI Script’s Vowels. National Conference "MEDHA 2012". MEDHA, 1 (September 2012), 48-52.

author = { D. N. Besekar },
title = { Special Approach for Recognition of Handwritten MODI Script’s Vowels },
journal = { National Conference "MEDHA 2012" },
issue_date = { September 2012 },
volume = { MEDHA },
number = { 1 },
month = { September },
year = { 2012 },
issn = 0975-8887,
pages = { 48-52 },
numpages = 5,
url = { /proceedings/medha/number1/8679-1023/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Proceeding Article
%1 National Conference "MEDHA 2012"
%A D. N. Besekar
%T Special Approach for Recognition of Handwritten MODI Script’s Vowels
%J National Conference "MEDHA 2012"
%@ 0975-8887
%N 1
%P 48-52
%D 2012
%I International Journal of Computer Applications

The ambient study had been performed on foreign language like Arebic, chineses Japanese etc. efforts on India script is still immature. OCR of MODI script language is still not available as it is cursive type and old language i. e. Shivkalin and Peshwekalin. the challenges of recognition of character is even high in handwritten domain , due to the varying writing style of each individual. In this paper we propose a system for recognition of offline handwritten MODI script Vowels. the proposed method uses chain code and image centroid for the purpose of extracting features and a two layer feed forward network with scaled conjugate gradient for classification.

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Index Terms

Computer Science
Information Sciences


Modi Script Handwritten Character Recognition Chain Code Feed Forword Networ Image Processing