Fractal 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

    This paper presents a face representation and recognition scheme based on the theory of fractals. Each face image is represented by its fractal model which is a small collection of transformation parameters. The transformation is carried out once for known face images. For recognition, the input face image is transformed and its fractal model is then compared against the database of fractal models of known faces. Feedforward neural networks are utilized to implement the compression and recognition parts. Some experimental results are presented. The maximum compression ratio obtained for the successful recognition of known faces was observed to be 89:1 (for a compression threshold of 0.002).

    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.
    Pages1609-1613
    Number of pages5
    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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