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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2328/25828
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| Title: | Wavelet packet face representation and recognition |
| Authors: | Kouzani, Abbas
He, Fangpo
Sammut, Karl |
| Keywords: | Face recognition
Data compression
Digital filtering
Image recognition |
| Issue Date: | 1997 |
| Publisher: | Institute of Electrical and Electronics Engineers Computer Society (IEEE Publishing) |
| Citation: | Kouzani, A., He, F. and Sammut, K. 1997. Wavelet packet face representation and recognition. 1997 IEEE International Conference on Systems, Man, and Cybernetics, vol. 2, 1614-1619. |
| Abstract: | A human face representation and recognition system, based on the wavelet packet method and the best basis selection algorithm, is proposed. Through conducting a set of experiments on three groups of training sets, the optimal transform basis (called the face basis), the best filter, and the best decomposition level are identified for the face image class. A face image is represented in a compressed form by its wavelet packet coefficients. For recognition, the compressed input face image is then compared against a database of compressed images of the known faces. The recognition results are presented. |
| URI: | http://hdl.handle.net/2328/25828 |
| ISSN: | 1062-922X |
| Appears in Collections: | Computer Science, Engineering and Mathematics - Collected Works
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