Wavelet packet face representation and recognition

A. Z. Kouzani, F. He, K. Sammut

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    13 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publication1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1614-1619
    Number of pages6
    ISBN (Print)0-7803-4053-1
    DOIs
    Publication statusPublished - 1997
    Event1997 IEEE International Conference on Systems, Man, and Cybernetics - Orlando, FL, USA
    Duration: 12 Oct 199715 Oct 1997

    Publication series

    NameProceedings of the IEEE International Conference on Systems, Man and Cybernetics
    PublisherIEEE
    ISSN (Print)1062-922X
    ISSN (Electronic)0884-3627

    Conference

    Conference1997 IEEE International Conference on Systems, Man, and Cybernetics
    CityOrlando, FL, USA
    Period12/10/9715/10/97

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