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Optimal discrete wavelet transform (DWT) features for face recognition

Nicholl, Paul and Ahmad , Afandi and Amira, Abbes (2010) Optimal discrete wavelet transform (DWT) features for face recognition. In: IEEE Asia Pacific Conference on Circuits and Systems, Kuala Lumpur, Malaysia.

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Face recognition systems usually include preprocessing, in order to crop the training and probe images. This often involves arbitrarily-chosen segmentation boundaries, which may exclude discriminative face information or include irrelevant pixels corresponding to background, hair, etc. The work presented in this paper creates a rich feature vector using discrete wavelet transform (DWT) coefficients, which is then optimized to exclude useless information. This optimization process eliminates the need to overly crop images, as background will be automatically excluded. Experiments on the AT&T database show that the technique improves results significantly, with recognition rates increasing from 93% to 97.5% when using the Haar wavelet

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Face recognition; multiresolution; statistical; wavelet
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Electrical and Electronic Engineering > Department of Electronic Engineering
Depositing User: Mrs Hasliza Hamdan
Date Deposited: 12 Mar 2012 03:13
Last Modified: 12 Mar 2012 03:13
URI: http://eprints.uthm.edu.my/id/eprint/2052
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