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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationProceedings - International Conference on Computer Graphics, Imaging and Visualization, CGIV 2004
EditorsE. Banissi, A.R.M. Piah, M. Sarfraz
Pages65-69
Number of pages5
Publication statusPublished - 2004 Dec 1
EventProceedings - International Conference on Computer Graphics, Imaging and Visualization, CGIV 2004 - Penang, Malaysia
Duration: 2004 Jul 262004 Jul 29

Publication series

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

Other

OtherProceedings - International Conference on Computer Graphics, Imaging and Visualization, CGIV 2004
CountryMalaysia
CityPenang
Period04/7/2604/7/29

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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  • Cite this

    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).