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Fractal face representation and recognition

conference contribution
posted on 1997-12-01, 00:00 authored by Abbas KouzaniAbbas Kouzani, F He, K Sammut
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).

History

Volume

2

Pagination

1609 - 1613

Publisher

IEEE

Location

Orlando, FL

Place of publication

Piscataway, N.J.

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

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