Texture for Script Identification

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Title Texture for Script Identification
Author Busch, Andrew William; Boles, Wageeh W.; Sridharan, Sridha
Journal Name IEEE Transactions on Pattern Analysis and Machine Intelligence
Editor David J. Kriegman
Year Published 2005
Place of publication Los Alamitos, CA, USA
Publisher IEEE Computer Society
Abstract The problem of determining the script and language of a document image has a number of important applications in the field of document analysis, such as indexing and sorting of large collections of such images, or as a precursor to optical character recognition (OCR). In this paper, we investigate the use of texture as a tool for determining the script of a document image, based on the observation that text has a distinct visual texture. An experimental evaluation of a number of commonly used texture features is conducted on a newly created script database, providing a qualitative measure of which features are most appropriate for this task. Strategies for improving classification results in situations with limited training data and multiple font types are also proposed.
Peer Reviewed Yes
Published Yes
Publisher URI http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=32376&arnumber=1512053&count=14&index=3
Alternative URI http://dx.doi.org/10.1109/TPAMI.2005.227
Copyright Statement Copyright 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Volume 27
Issue Number 11
Page from 1720
Page to 1732
ISSN 0162-8828
Date Accessioned 2006-03-09
Language en_AU
Faculty Faculty of Engineering and Information Technology
Subject Computer Vision; Image Processing
URI http://hdl.handle.net/10072/4262
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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