Robust face recognition using fusion of multiscale experts

Imran Naseem; M. Affan Alim

doi:10.1117/12.956450

8 June 2012 Robust face recognition using fusion of multiscale experts

Imran Naseem, M. Affan Alim

Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 83342R (2012) https://doi.org/10.1117/12.956450
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia

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.

Citation Download Citation

Imran Naseem and M. Affan Alim "Robust face recognition using fusion of multiscale experts", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83342R (8 June 2012); https://doi.org/10.1117/12.956450

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KEYWORDS

Principal component analysis

Facial recognition systems

Wavelets

Image fusion

Databases

Image processing

Discrete wavelet transforms

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