TY - GEN
T1 - An efficient method for human face recognition using wavelet transform and zernike moments
AU - Foon, Neo Han
AU - Pang, Ying Han
AU - Jin, Andrew Teoh Beng
AU - Ling, David Ngo Chek
PY - 2004
Y1 - 2004
N2 - 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%.
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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M3 - Conference contribution
AN - SCOPUS:13944282938
SN - 0769521789
T3 - Proceedings - International Conference on Computer Graphics, Imaging and Visuualization, CGIV 2004
SP - 65
EP - 69
BT - Proceedings - International Conference on Computer Graphics, Imaging and Visualization, CGIV 2004
A2 - Banissi, E.
A2 - Piah, A.R.M.
A2 - Sarfraz, M.
T2 - Proceedings - International Conference on Computer Graphics, Imaging and Visualization, CGIV 2004
Y2 - 26 July 2004 through 29 July 2004
ER -