DocumentCode :
1202510
Title :
Face recognition using the weighted fractal neighbor distance
Author :
Tan, Teewoon ; Yan, Hong
Author_Institution :
Univ. of Sydney, NSW, Australia
Volume :
35
Issue :
4
fYear :
2005
Firstpage :
576
Lastpage :
582
Abstract :
We present a method for performing face recognition based on the fractal neighbor distance (FND). The FND has previously been used for face recognition. What distinguishes our method from others is that we incorporate the use of localized weights with the FND. In a local-to-global feature matching approach, a set of localized weights is used with an algorithm based on the FND that searches for local features. A global score is then derived from each localized score. This set of weights is designed to concentrate around the eyes and nose region of the face, because they contain more discriminating features.
Keywords :
face recognition; feature extraction; fractals; image coding; image matching; visual databases; face recognition; feature matching approach; fractal image coding; weighted fractal neighbor distance; Euclidean distance; Eyes; Face recognition; Fractals; Humans; Image coding; Image databases; Image recognition; Nose; Object recognition; Face recognition; fractal image coding; fractal neighbor distance; weighted fractal neighbor distance;
fLanguage :
English
Journal_Title :
Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on
Publisher :
ieee
ISSN :
1094-6977
Type :
jour
DOI :
10.1109/TSMCC.2004.840033
Filename :
1522540
Link To Document :
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