Eigenspace-based face hashing

David C.L. Ngo; Andrew B.J. Teoh; Alwyn Goh

doi:10.1007/978-3-540-25948-0_27

Eigenspace-based face hashing

David C.L. Ngo, Andrew B.J. Teoh, Alwyn Goh

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter

13 Citations (Scopus)

Abstract

We present a novel approach to generating cryptographic keys from biometrics. In our approach, the PCA coefficients of a face image are discretised using a bit-extraction method to n bits. We compare performance results obtained with and without the discretisation procedure applied to several PCA-based methods (including PCA, PCA with weighing coefficients, PCA on Wavelet Subband, and LDA) on a combined face image database. Results show that the discretisation step consistently increases the performance.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	David Zhang, Anil K. Jain
Publisher	Springer Verlag
Pages	195-199
Number of pages	5
ISBN (Print)	3540221468, 9783540221463
DOIs	https://doi.org/10.1007/978-3-540-25948-0_27
Publication status	Published - 2004

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3072
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-540-25948-0_27

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Ngo, D. C. L., Teoh, A. B. J., & Goh, A. (2004). Eigenspace-based face hashing. In D. Zhang, & A. K. Jain (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 195-199). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3072). Springer Verlag. https://doi.org/10.1007/978-3-540-25948-0_27

Ngo, David C.L. ; Teoh, Andrew B.J. ; Goh, Alwyn. / Eigenspace-based face hashing. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / David Zhang ; Anil K. Jain. Springer Verlag, 2004. pp. 195-199 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Ngo, DCL, Teoh, ABJ & Goh, A 2004, Eigenspace-based face hashing. in D Zhang & AK Jain (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3072, Springer Verlag, pp. 195-199. https://doi.org/10.1007/978-3-540-25948-0_27

Eigenspace-based face hashing. / Ngo, David C.L.; Teoh, Andrew B.J.; Goh, Alwyn.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / David Zhang; Anil K. Jain. Springer Verlag, 2004. p. 195-199 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3072).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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AB - We present a novel approach to generating cryptographic keys from biometrics. In our approach, the PCA coefficients of a face image are discretised using a bit-extraction method to n bits. We compare performance results obtained with and without the discretisation procedure applied to several PCA-based methods (including PCA, PCA with weighing coefficients, PCA on Wavelet Subband, and LDA) on a combined face image database. Results show that the discretisation step consistently increases the performance.

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Ngo DCL, Teoh ABJ, Goh A. Eigenspace-based face hashing. In Zhang D, Jain AK, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2004. p. 195-199. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-25948-0_27