A wavelet-based face recognition system using partial information

H. F. Neo, C. C. Teo, Andrew B.J. Teoh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper aims to integrate part-based feature extractor, namely Non-negative matrix factorization (NMF), Local NMF and Spatially Confined NMF in wavelet frequency domain. Wavelet transform, with its approximate decomposition is used to reduce the noise and produce a representation in the low frequency domain, and hence making the facial images insensitive to facial expression and small occlusion. 75% ratio of full-face images are used for training and testing since they contain sufficient information as reported in a previous study. Our experiments on Essex-94 Database demonstrate that feature extractors in wavelet frequency domain perform better than without any filters. The optimum result is obtained for SFNMF of r*= 60 with Symlet orthonormal wavelet filter of order 2 in the second decomposition level. The recognition rate is equivalent to 98%.

Original languageEnglish
Title of host publicationAdvances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings
Pages427-436
Number of pages10
EditionPART 3
DOIs
Publication statusPublished - 2010
Event6th International, Symposium on Visual Computing, ISVC 2010 - Las Vegas, NV, United States
Duration: 2010 Nov 292010 Dec 1

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume6455 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th International, Symposium on Visual Computing, ISVC 2010
CountryUnited States
CityLas Vegas, NV
Period10/11/2910/12/1

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Neo, H. F., Teo, C. C., & Teoh, A. B. J. (2010). A wavelet-based face recognition system using partial information. In Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings (PART 3 ed., pp. 427-436). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6455 LNCS, No. PART 3). https://doi.org/10.1007/978-3-642-17277-9_44