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Novel Face Recognition Method by Combining Spatial Domain and Selected Complex Wavelet Features |
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| Authors: | ZHANG Qiang CAI Yun-ze XU Xiao-ming |
| Institution: | 1. School of Electronic, Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240, China ;University of Shanghai for Science and Technology, Shanghai 200093, China ;Shanghai Academy of Systems Science, Shanghai 200093, China 2. School of Electronic, Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240, China |
| Abstract: | A novel face recognition method based on fusion of spatial and frequency features was presented to improve recognition accuracy.Dual-Tree Complex Wavelet Transform derives desirable facial features to cope with the variation due to the illumination and facial expression changes.By adopting spectral regression and complexfusiontechnologiesrespectively,twoimproved neighborhood preserving discriminant analysis feature extraction methods were proposed to capture the face manifold structures and locality discriminatory information.Extensive experiments have been made to compare the recognition performance of the proposed method with some popular dimensionality reduction methods on ORL and Yale face databases.The results verify the effectiveness of the proposed method. |
| Keywords: | face recognition neighborhood preserving discriminant analysis spectral regression complex fusion Dual-Tree Complex Wavelet Transform feature selection |
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