Face authentication system using pseudo zernike moments on wavelet subband

Ying Han Pang; B. J. Andrew Teoh; C. L. David Ngo

doi:10.1587/elex.1.275

Face authentication system using pseudo zernike moments on wavelet subband

Ying Han Pang, B. J. Andrew Teoh, C. L. David Ngo

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

Moments are widely-used feature extractors due to their superior discriminatory power and geometrical invariance. Unfortunately, moments suffer heavy computational load and result long time spending. In viewing of the problem, we proposed a new technique in using moments-apply moments on wavelet subband. In this study, pseudo Zernike moments are selected asfeature extractors due to its enhanced feature representation capability. Implementation of moments on wavelet subband affords advantages of performing local-to-global analysis and decomposing image into lower resolution. Experimental results show that this hybrid achieves computational time reduction of 36.23% with enhanced authentication performance.

Original language	English
Pages (from-to)	275-280
Number of pages	6
Journal	ieice electronics express
Volume	1
Issue number	10
DOIs	https://doi.org/10.1587/elex.1.275
Publication status	Published - 2004 Nov

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Electrical and Electronic Engineering

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10.1587/elex.1.275

Cite this

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Face authentication system using pseudo zernike moments on wavelet subband

Abstract

All Science Journal Classification (ASJC) codes

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