A human face representation and recognition system, based on the wavelet packet method and the best basis selection algorithm, is proposed in this paper. 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.
History
Volume
2
Pagination
1614-1619
Location
Orlando, FL
Start date
1997-10-12
End date
1997-10-15
ISSN
0884-3627
Publication classification
EN.1 Other conference paper
Title of proceedings
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics