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Please use this identifier to cite or link to this item: http://hdl.handle.net/2328/25836

Title: Fractal face representation and recognition
Authors: Kouzani, Abbas
He, Fangpo
Sammut, Karl
Keywords: Face recognition
Data compression
Neural networks
Image recognition
Issue Date: 1997
Publisher: Institute of Electrical and Electronics Engineers Computer Society (IEEE Publishing)
Citation: Kouzani, A., He, F. and Sammut, K. 1997. Fractal face representation and recognition. 1997 IEEE International Proceedings on Systems, Man, and Cybernetics, vol. 2, 1609 - 1613.
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 utilised 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).
URI: http://hdl.handle.net/2328/25836
ISSN: 1062-922X
Appears in Collections:Computer Science, Engineering and Mathematics - Collected Works

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