Enhancing neural confidence-based segmentation for cursive handwriting recognition

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Title Enhancing neural confidence-based segmentation for cursive handwriting recognition
Author Cheng, Chun Ki; Liu, Xin Yu; Blumenstein, Michael Myer; Muthukkumarasamy, Vallipuram
Publication Title SEAL 04 and 2004 FIRA Robot world congress
Editor Jong-Hwan Kim
Year Published 2004
Place of publication Korea
Publisher Korea Advanced Institute of Science and Technology
Abstract This paper proposes some directions for enhancing a neural network-based technique for automatically segmenting cursive handwriting. The technique fuses confidence values obtained from left and center character recognition outputs in addition to a Segmentation Point Validation output. Specifically, this paper describes the use of a recently proposed feature extraction technique (Modified Direction Feature) for representing segmentation points and characters to enhance the overall segmentation process. Promising results are presented for Segmentation Point Validation and cursive character recognition on a benchmark dataset. In addition, a new methodology for detecting segmentation paths is presented and evaluated for extracting characters from cursive handwriting.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.kaist.edu/edu.html
Alternative URI http://www.cit.gu.edu.au/
Copyright Statement Copyright remains with the author 2007 Griffith University. The attached file is posted here with permission of the copyright owner for your personal use only. No further distribution permitted.
Conference name SEAL 04 and 2004 FIRA Robot world congress
Location Korea
Date From 2004-10-26
Date To 2004-10-29
URI http://hdl.handle.net/10072/2089
Date Accessioned 2005-06-27
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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