A novel approach for structural feature extraction: Contour vs. direction

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Title A novel approach for structural feature extraction: Contour vs. direction
Author Verma, Brijesh; Blumenstein, Michael Myer; Ghosh, Moumita
Journal Name Pattern Recognition Letters
Editor T.K. Ho, G. Sanniti di Baja
Year Published 2004
Place of publication Netherlands
Publisher Elsevier Science BV
Abstract The paper presents a novel approach for extracting structural features from segmented cursive handwriting. The proposed approach is based on the contour code and stroke direction. The contour code feature utilises the rate of change of slope along the contour profile in addition to other properties such as the ascender and descender count, start point and end point. The direction feature identifies individual line segments or strokes from the character's outer boundary or thinned representation and highlights each character's pertinent direction information. Each feature is investigated employing a benchmark database and the experimental results using the proposed contour code based structural feature are very promising. A comparative evaluation with the directional feature and existing transition feature is included.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.elsevier.com/wps/find/journaldescription.cws_home/505619/description#description
Alternative URI http://dx.doi.org/10.1016/j.patrec.2004.02.013
Copyright Statement Copyright 2004 Elsevier : Reproduced in accordance with the copyright policy of the publisher : This journal is available online - use hypertext links. This is the author-manuscript version of the paper.
Volume 25
Issue Number 9
Page from 975
Page to 988
ISSN 0167-8655
Date Accessioned 2005-04-01
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Engineering and Information Technology
Subject PRE2009-Pattern Recognition
URI http://hdl.handle.net/10072/5140
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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