e-ISSN : 0975-3397
Print ISSN : 2229-5631
Home | About Us | Contact Us

ARTICLES IN PRESS

Articles in Press

ISSUES

Current Issue
Archives

CALL FOR PAPERS

CFP 2021

TOPICS

IJCSE Topics

EDITORIAL BOARD

Editors

Indexed in

oa
 

ABSTRACT

Title : Devanagari Isolated Character Recognition by using Statistical features ( Foreground Pixels Distribution, Zone Density and Background Directional Distribution feature and SVM Classifier)
Authors : Mahesh Jangid
Keywords : Davanagari Character Recognition, Forground pixel, Zone density, Background directional distribution, Support Vector Machine
Issue Date : June 2011
Abstract :
In this paper, we present a methodology for off-line Isolated handwritten Devanagari character recognition. The proposed methodology relies on a three feature extraction techniques. The first technique is based on recursive subdivisions of the character image so that the resulting sub-images at each iteration have balanced (approximately equal) numbers of foreground pixels, as far as this is possible. Second technique is based on the zone density of the pixel and third is based on the directional distribution of neighboring background pixels to foreground pixels. The 314 sized feature vector is form from the three feature extraction techniques for a handwritten Devanagari character. The dataset (12240 samples) of handwritten Devanagari Character, have been prepared by writing the different – 2 people who belongs to different age group and obtained the 94.89 % recognition accuracy.
Page(s) : 2400-2407
ISSN : 0975–3397
Source : Vol. 3, Issue.6

All Rights Reserved © 2009-2024 Engg Journals Publications
Page copy protected against web site content infringement by CopyscapeCreative Commons License