Face recognition by fractal transformations

Authors:
T. Tan;H. Yan
Affiliations:
Sch. of Electr. & Inf. Eng., Sydney Univ., NSW, Australia;-
Venue:
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Year:
1999

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Abstract

In this paper, we propose a new method for computerized human face recognition using fractal transformations. We show that by utilizing the intrinsic properties of block-wise self-similar transformations in fractal image coding we can use it to perform face recognition. The contractivity factor and the encoding scheme of the fractal encoder are shown to affect recognition rates. Using this method, an average error rate of 1.75% was obtained on the ORL face database.