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Attractor-based person identification

conference contribution
posted on 2007-05-31, 00:00 authored by Abbas KouzaniAbbas Kouzani
This paper presents a facial identification system which is based on attractors of a set of two dimensional affine transformation of subparts of facial images. In this approach, the attractor models of the known images are calculated and stored in the database. Then, for each known image, its attractor model is iterated from the input image. If the input image and the known image belong to the same person, the iteration of the attractor model produces an image that is similar to the input image. Otherwise, the iteration process changes the content of the input image significantly. Experimental results are reported and discussed.

History

Volume

2007

Location

Melbourne, Vic.

Start date

2005-11-21

End date

2005-11-24

ISBN-10

0780393112

Publication classification

EN.1 Other conference paper

Title of proceedings

IEEE Region 10 Annual International Conference, Proceedings/TENCON

Publisher

IEEE

Place of publication

Piscataway, N.J.

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