Experimental Analysis of the Modified Direction Feature for Cursive Character Recognition

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Title Experimental Analysis of the Modified Direction Feature for Cursive Character Recognition
Author Liu, Xin Yu; Blumenstein, Michael Myer
Publication Title Proceedings of the 9th Int'l Workshop on Frontiers in Handwriting Recognition (IWFHR-9 2004)
Editor Hiromichi Fujisawa and Guy Lorette
Year Published 2004
Place of publication USA
Publisher IEEE Computer Society
Abstract This paper describes and analyzes the performance of a structural feature extraction technique for the recognition of segmented/cursive characters that may be used in the context of a segmentation-based, handwritten word recognition system. The Modified Direction Feature (MDF) extraction technique builds upon a previous technique proposed by the authors that extracts direction information from the structure of character contours. This principle is extended so that the direction information is integrated with a technique for detecting transitions between background and foreground pixels in the character image. The MDF technique used in conjunction with neural network classifiers provide recognition rates of up to 90.24%, which are amongst the highest in the literature. This paper also presents a detailed analysis of the characters that were the source of misclassification in the character recognition process. The characters used for experimentation were obtained from the CEDAR benchmark database.
Peer Reviewed Yes
Published Yes
Publisher URI http://www2.computer.org/portal/web/csdl/abs/proceedings/iwfhr/2004/2187/00/2187toc.htm
Alternative URI http://doi.ieeecomputersociety.org/10.1109/IWFHR.2004.40
Copyright Statement Copyright 2004 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.
ISBN 0-7695-2187-8
Conference name International Workshop on Frontiers in Handwriting Recognition
Location Tokyo, Japan
Date From 2004-10-26
Date To 2004-10-29
URI http://hdl.handle.net/10072/2116
Date Accessioned 2005-03-30
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Engineering and Information Technology
Subject PRE2009-Pattern Recognition
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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