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Database Development and Preprocessing for Handwritten Marathi Numeral Recognition

Published on July 2015 by Rohit R. Pawar, Minakshi S.bhandare, Chaitali D.koulage
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National Conference on Knowledge, Innovation in Technology and Engineering (NCKITE 2015)
Foundation of Computer Science USA
NCKITE2015 - Number 3
July 2015
Authors: Rohit R. Pawar, Minakshi S.bhandare, Chaitali D.koulage
fae233dd-da1d-4f73-8c3e-f6f1e5349cc0

Rohit R. Pawar, Minakshi S.bhandare, Chaitali D.koulage . Database Development and Preprocessing for Handwritten Marathi Numeral Recognition. National Conference on Knowledge, Innovation in Technology and Engineering (NCKITE 2015). NCKITE2015, 3 (July 2015), 29-32.

@article{
author = { Rohit R. Pawar, Minakshi S.bhandare, Chaitali D.koulage },
title = { Database Development and Preprocessing for Handwritten Marathi Numeral Recognition },
journal = { National Conference on Knowledge, Innovation in Technology and Engineering (NCKITE 2015) },
issue_date = { July 2015 },
volume = { NCKITE2015 },
number = { 3 },
month = { July },
year = { 2015 },
issn = 0975-8887,
pages = { 29-32 },
numpages = 4,
url = { /proceedings/nckite2015/number3/21496-2667/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Knowledge, Innovation in Technology and Engineering (NCKITE 2015)
%A Rohit R. Pawar
%A Minakshi S.bhandare
%A Chaitali D.koulage
%T Database Development and Preprocessing for Handwritten Marathi Numeral Recognition
%J National Conference on Knowledge, Innovation in Technology and Engineering (NCKITE 2015)
%@ 0975-8887
%V NCKITE2015
%N 3
%P 29-32
%D 2015
%I International Journal of Computer Applications
Abstract

This paper applies different techniques for recognizing printed and handwritten Marathi numerals. The concentration is done on work carried out on different data sets which is collected by different peoples. We studied most of the published papers related to this topic and from this we analyze different methodologies and their results. It gives proper guidance for research in OCR. In this paper we work dealing with recognition of numerals. Our research work is for handwritten numerals recognition from scanned documents. We know that by selecting proper technique high performance and better accuracy will get in recognition. The aim of this paper to improve recognition result by applying different types of techniques on data sets . It also focuses on problems related to the recognition of numerals and also locates the researchers the way where there is still a scope of accuracy.

References
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  9. P. M. Patil, T. R. Sontakke,"Rotation, Scale and Translation Invariant Handwritten Devnagari Numeral Character Recognition using General Fuzzy Neural Network", Pattern Recognition, vol. 40, 2007.
Index Terms

Computer Science
Information Sciences

Keywords

Marathi Numerals Recognition Ocr.