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Pattern Recognition
Volume 35, Issue 2, February 2002, Pages 353-360
 
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doi:10.1016/S0031-3203(01)00023-1    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2001 Pattern Recognition Society. Published by Elsevier Science B.V.

Human face profile recognition using attributed string

Yongsheng GaoCorresponding Author Contact Information, E-mail The Corresponding Author, a and Maylor K. H. LeungE-mail The Corresponding Author, b

a Center for Graphics & Imaging Technology, Nanyang Technological University, Singapore 639798 b School of Computer Engineering, Nanyang Technological University, Singapore

Received 27 July 1999;
revised 6 July 2000;
accepted 1 December 2000
Available online 26 November 2001.

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Abstract

A new attributed string matching method for human face profile recognition is proposed in this work. It is a novel idea to apply structural and syntactic technique on face profile matching. The approach works on a chain of profile line segments and highlights the favor of curve matching by suppressing the operations of insert and delete. The technique relies mainly on the merge and change operations of string to tackle the inconsistency problem of feature point detection. A quadratic penalty function is proposed to prohibit large angle changes and overmerging. The method produces very encouraging results and is found to be suitable for similar shape classification.

Author Keywords: Attributed string; Curve matching; Face recognition; Profile; Syntactic; Structural

Corresponding Author Contact Information Corresponding author. Tel.: +65-790-4319; fax: +65-792-6559; email: asysgao@ntu.edu.sg


Pattern Recognition
Volume 35, Issue 2, February 2002, Pages 353-360
 
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