An efficient method for human face recognition using wavelet transform and zernike moments

Neo Han Foon; Ying Han Pang; Andrew Teoh Beng Jin; David Ngo Chek Ling

An efficient method for human face recognition using wavelet transform and zernike moments

Neo Han Foon, Ying Han Pang, Andrew Teoh Beng Jin, David Ngo Chek Ling

Department of Electrical and Electronic Engineering

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

36 Citations (Scopus)

Abstract

This paper presents a novel method of combining Wavelet Transforms (WT) and Zernike Moments (ZM) as a feature vector for face recognition. 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. The Zernike Moments, on the other hand, is selected as feature extractor due to its robustness to image noise, geometrical invariants property and orthogonal property. The simulation results on Essex Database indicates that higher order degree of WT combine with ZM achieve better performance with respect to recognition rate rather than using WT or ZM alone. The optimum result is obtained for ZM of order 10 with Daubechies orthonormal wavelet filter of order 7 in the first decomposition level. It can achieve the verification of 94.26%.

Original language	English
Title of host publication	Proceedings - International Conference on Computer Graphics, Imaging and Visualization, CGIV 2004
Editors	E. Banissi, A.R.M. Piah, M. Sarfraz
Pages	65-69
Number of pages	5
Publication status	Published - 2004 Dec 1
Event	Proceedings - International Conference on Computer Graphics, Imaging and Visualization, CGIV 2004 - Penang, Malaysia Duration: 2004 Jul 26 → 2004 Jul 29

Publication series

Name	Proceedings - International Conference on Computer Graphics, Imaging and Visuualization, CGIV 2004

Other

Other	Proceedings - International Conference on Computer Graphics, Imaging and Visualization, CGIV 2004
Country	Malaysia
City	Penang
Period	04/7/26 → 04/7/29

All Science Journal Classification (ASJC) codes

Engineering(all)

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Foon, N. H., Pang, Y. H., Jin, A. T. B., & Ling, D. N. C. (2004). An efficient method for human face recognition using wavelet transform and zernike moments. In E. Banissi, A. R. M. Piah, & M. Sarfraz (Eds.), Proceedings - International Conference on Computer Graphics, Imaging and Visualization, CGIV 2004 (pp. 65-69). (Proceedings - International Conference on Computer Graphics, Imaging and Visuualization, CGIV 2004).

Foon, Neo Han ; Pang, Ying Han ; Jin, Andrew Teoh Beng ; Ling, David Ngo Chek. / An efficient method for human face recognition using wavelet transform and zernike moments. Proceedings - International Conference on Computer Graphics, Imaging and Visualization, CGIV 2004. editor / E. Banissi ; A.R.M. Piah ; M. Sarfraz. 2004. pp. 65-69 (Proceedings - International Conference on Computer Graphics, Imaging and Visuualization, CGIV 2004).

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title = "An efficient method for human face recognition using wavelet transform and zernike moments",

abstract = "This paper presents a novel method of combining Wavelet Transforms (WT) and Zernike Moments (ZM) as a feature vector for face recognition. 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. The Zernike Moments, on the other hand, is selected as feature extractor due to its robustness to image noise, geometrical invariants property and orthogonal property. The simulation results on Essex Database indicates that higher order degree of WT combine with ZM achieve better performance with respect to recognition rate rather than using WT or ZM alone. The optimum result is obtained for ZM of order 10 with Daubechies orthonormal wavelet filter of order 7 in the first decomposition level. It can achieve the verification of 94.26%.",

author = "Foon, {Neo Han} and Pang, {Ying Han} and Jin, {Andrew Teoh Beng} and Ling, {David Ngo Chek}",

year = "2004",

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booktitle = "Proceedings - International Conference on Computer Graphics, Imaging and Visualization, CGIV 2004",

note = "Proceedings - International Conference on Computer Graphics, Imaging and Visualization, CGIV 2004 ; Conference date: 26-07-2004 Through 29-07-2004",

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Foon, NH, Pang, YH, Jin, ATB & Ling, DNC 2004, An efficient method for human face recognition using wavelet transform and zernike moments. in E Banissi, ARM Piah & M Sarfraz (eds), Proceedings - International Conference on Computer Graphics, Imaging and Visualization, CGIV 2004. Proceedings - International Conference on Computer Graphics, Imaging and Visuualization, CGIV 2004, pp. 65-69, Proceedings - International Conference on Computer Graphics, Imaging and Visualization, CGIV 2004, Penang, Malaysia, 04/7/26.

An efficient method for human face recognition using wavelet transform and zernike moments. / Foon, Neo Han; Pang, Ying Han; Jin, Andrew Teoh Beng; Ling, David Ngo Chek.

Proceedings - International Conference on Computer Graphics, Imaging and Visualization, CGIV 2004. ed. / E. Banissi; A.R.M. Piah; M. Sarfraz. 2004. p. 65-69 (Proceedings - International Conference on Computer Graphics, Imaging and Visuualization, CGIV 2004).

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

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AB - This paper presents a novel method of combining Wavelet Transforms (WT) and Zernike Moments (ZM) as a feature vector for face recognition. 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. The Zernike Moments, on the other hand, is selected as feature extractor due to its robustness to image noise, geometrical invariants property and orthogonal property. The simulation results on Essex Database indicates that higher order degree of WT combine with ZM achieve better performance with respect to recognition rate rather than using WT or ZM alone. The optimum result is obtained for ZM of order 10 with Daubechies orthonormal wavelet filter of order 7 in the first decomposition level. It can achieve the verification of 94.26%.

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Foon NH, Pang YH, Jin ATB, Ling DNC. An efficient method for human face recognition using wavelet transform and zernike moments. In Banissi E, Piah ARM, Sarfraz M, editors, Proceedings - International Conference on Computer Graphics, Imaging and Visualization, CGIV 2004. 2004. p. 65-69. (Proceedings - International Conference on Computer Graphics, Imaging and Visuualization, CGIV 2004).