A wavelet-based face recognition system using partial information

H. F. Neo, C. C. Teo, Beng Jin 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 Dec 1
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

Fingerprint

Partial Information
Face recognition
Face Recognition
Factorization
Frequency Domain
Wavelets
Extractor
Matrix Factorization
Filter
Decomposition
Decompose
Non-negative Matrix Factorization
Facial Expression
Orthonormal
Occlusion
Wavelet transforms
Wavelet Transform
Low Frequency
Integrate
Face

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Neo, H. F., Teo, C. C., & Teoh, 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
Neo, H. F. ; Teo, C. C. ; Teoh, Beng Jin. / A wavelet-based face recognition system using partial information. Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings. PART 3. ed. 2010. pp. 427-436 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).
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Neo, HF, Teo, CC & Teoh, BJ 2010, A wavelet-based face recognition system using partial information. in Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings. PART 3 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 6455 LNCS, pp. 427-436, 6th International, Symposium on Visual Computing, ISVC 2010, Las Vegas, NV, United States, 10/11/29. https://doi.org/10.1007/978-3-642-17277-9_44

A wavelet-based face recognition system using partial information. / Neo, H. F.; Teo, C. C.; Teoh, Beng Jin.

Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings. PART 3. ed. 2010. p. 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).

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

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Neo HF, Teo CC, Teoh BJ. A wavelet-based face recognition system using partial information. In Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings. PART 3 ed. 2010. p. 427-436. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). https://doi.org/10.1007/978-3-642-17277-9_44