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Article:A Structured Analytical Approach to Handwritten Marathi vowels Recognition

by Nilima P. Patil, K. P. Adhiya, Surendra P. Ramteke
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 31 - Number 3
Year of Publication: 2011
Authors: Nilima P. Patil, K. P. Adhiya, Surendra P. Ramteke
10.5120/3808-5258

Nilima P. Patil, K. P. Adhiya, Surendra P. Ramteke . Article:A Structured Analytical Approach to Handwritten Marathi vowels Recognition. International Journal of Computer Applications. 31, 3 ( October 2011), 48-52. DOI=10.5120/3808-5258

@article{ 10.5120/3808-5258,
author = { Nilima P. Patil, K. P. Adhiya, Surendra P. Ramteke },
title = { Article:A Structured Analytical Approach to Handwritten Marathi vowels Recognition },
journal = { International Journal of Computer Applications },
issue_date = { October 2011 },
volume = { 31 },
number = { 3 },
month = { October },
year = { 2011 },
issn = { 0975-8887 },
pages = { 48-52 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume31/number3/3808-5258/ },
doi = { 10.5120/3808-5258 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:17:14.342874+05:30
%A Nilima P. Patil
%A K. P. Adhiya
%A Surendra P. Ramteke
%T Article:A Structured Analytical Approach to Handwritten Marathi vowels Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 31
%N 3
%P 48-52
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In OCR domain, it is now widely accepted that a single feature extraction method and single classification algorithm can’t yields better performance rate. It is therefore, a compound feature extraction approach based on structural analysis for recognition of offline handwritten Marathi vowels is proposed. Though, Moment invariant technique is well experimented by many researchers, an attempt is made to enhance the existing results by extracting various supportive features like affine invariant moments, image thinning, structuring the image in box format, etc. These features are independent of size, slant, orientation, translation and other variations in handwritten characters. 5 samples of each vowel from 25 different people have been sampled and database was prepared. After segmentation, an individual image is resized to 50X50. 33 different features were evaluated for each character. The Fuzzy Gaussian Membership Function has been adopted for classification. The main objective of the paper is to test the possibility of using the MI, AMI combination of both for recognition of Handwritten Marathi vowels. The results show the satisfactory performance rate.

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Index Terms

Computer Science
Information Sciences

Keywords

Feature Extraction Moment invariants OCR Gaussian Function

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