A discriminant pseudo Zernike moments in face recognition

This paper introduces a novel discriminant moment-based method as a feature extraction technique for face recognition. In this method, pseudo Zernike moments are performed before the application of Fisher's Linear Discriminant to achieve a stable numerical computation and good generalization in...

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Main Authors: Pang, Ying Han, Teoh, Andrew Ben Jin, Ngo, David Chek Ling
Format: Article
Language:English
Published: Australian Computer Society 2006
Subjects:
Online Access:http://shdl.mmu.edu.my/1982/
http://shdl.mmu.edu.my/1982/1/A%20discriminant%20pseudo%20Zernike%20moments%20in%20face%20recognition.pdf
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author Pang, Ying Han
Teoh, Andrew Ben Jin
Ngo, David Chek Ling
author_facet Pang, Ying Han
Teoh, Andrew Ben Jin
Ngo, David Chek Ling
author_sort Pang, Ying Han
building MMU Institutional Repository
collection Online Access
description This paper introduces a novel discriminant moment-based method as a feature extraction technique for face recognition. In this method, pseudo Zernike moments are performed before the application of Fisher's Linear Discriminant to achieve a stable numerical computation and good generalization in small-sample-size problems. Fisher's Linear Discriminant uses pseudo Zernike moments to derive an enhanced subset of moment features by maximizing the between-class scatter, while minimizing the within-class scatter, which leads to a better discrimination and classification performance. Experimental results show that the proposed method achieves superior performance with a recognition rate of 97.51% in noise free environment and 97.12% in noise induced environment for the Essex Face94 database. For the Essex Face95 database, the recognition rates obtained are 91.73% and 90.30% in noise free and noise induced environments, respectively.
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spelling mmu-19822017-01-05T03:46:18Z http://shdl.mmu.edu.my/1982/ A discriminant pseudo Zernike moments in face recognition Pang, Ying Han Teoh, Andrew Ben Jin Ngo, David Chek Ling QA75.5-76.95 Electronic computers. Computer science This paper introduces a novel discriminant moment-based method as a feature extraction technique for face recognition. In this method, pseudo Zernike moments are performed before the application of Fisher's Linear Discriminant to achieve a stable numerical computation and good generalization in small-sample-size problems. Fisher's Linear Discriminant uses pseudo Zernike moments to derive an enhanced subset of moment features by maximizing the between-class scatter, while minimizing the within-class scatter, which leads to a better discrimination and classification performance. Experimental results show that the proposed method achieves superior performance with a recognition rate of 97.51% in noise free environment and 97.12% in noise induced environment for the Essex Face94 database. For the Essex Face95 database, the recognition rates obtained are 91.73% and 90.30% in noise free and noise induced environments, respectively. Australian Computer Society 2006-05 Article NonPeerReviewed text en http://shdl.mmu.edu.my/1982/1/A%20discriminant%20pseudo%20Zernike%20moments%20in%20face%20recognition.pdf Pang, Ying Han and Teoh, Andrew Ben Jin and Ngo, David Chek Ling (2006) A discriminant pseudo Zernike moments in face recognition. Journal of Research and Practice in Information Technology, 38 (2). pp. 197-211. ISSN 1443-458X https://pdfs.semanticscholar.org/c5c5/7d41ed353178cdd95a668f08ad877269240d.pdf
spellingShingle QA75.5-76.95 Electronic computers. Computer science
Pang, Ying Han
Teoh, Andrew Ben Jin
Ngo, David Chek Ling
A discriminant pseudo Zernike moments in face recognition
title A discriminant pseudo Zernike moments in face recognition
title_full A discriminant pseudo Zernike moments in face recognition
title_fullStr A discriminant pseudo Zernike moments in face recognition
title_full_unstemmed A discriminant pseudo Zernike moments in face recognition
title_short A discriminant pseudo Zernike moments in face recognition
title_sort discriminant pseudo zernike moments in face recognition
topic QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/1982/
http://shdl.mmu.edu.my/1982/
http://shdl.mmu.edu.my/1982/1/A%20discriminant%20pseudo%20Zernike%20moments%20in%20face%20recognition.pdf