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Proceedings Paper

Robust face recognition using fusion of multiscale experts
Author(s): Imran Naseem; M. Affan Alim
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Paper Abstract

This paper proposes an efficient and robust technique for face recognition. The proposed technique includes the Daubechie's wavelet transform D10, Principal Component Analysis (PCA) and Multiscale fusion for face recognition. Features are extracted using the PCA on original and multiscale images. The multiscale fusion is used to combine the results of PCA and wavelet transformed PCA to achieve better performance. The main idea is to utilize the discriminant information of various subbands rather than relying on a single scale. Multiscale experts are finally fused using the sum rule. Extensive experimental results on the AT&T database show that recognition performance is improved by the proposed method.

Paper Details

Date Published: 8 June 2012
PDF: 6 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83342R (8 June 2012); doi: 10.1117/12.956450
Show Author Affiliations
Imran Naseem, Karachi Institute of Economics and Technology (Pakistan)
M. Affan Alim, Aligarh Institute of Technology (Pakistan)


Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)

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