TY - GEN
T1 - Wavelet packet face representation and recognition
AU - Kouzani, A. Z.
AU - He, F.
AU - Sammut, K.
PY - 1997
Y1 - 1997
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0031331365&partnerID=8YFLogxK
U2 - 10.1109/ICSMC.1997.638233
DO - 10.1109/ICSMC.1997.638233
M3 - Conference contribution
AN - SCOPUS:0031331365
SN - 0-7803-4053-1
T3 - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
SP - 1614
EP - 1619
BT - 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation
PB - Institute of Electrical and Electronics Engineers
T2 - 1997 IEEE International Conference on Systems, Man, and Cybernetics
Y2 - 12 October 1997 through 15 October 1997
ER -