Study of Facial Features Combination Using a Novel Adaptive Fuzzy Integral Fusion Model

M. Mahdi GHAZAEI ARDAKANI  Shahriar BARADARAN SHOKOUHI  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E91-D   No.7   pp.1863-1870
Publication Date: 2008/07/01
Online ISSN: 1745-1361
DOI: 10.1093/ietisy/e91-d.7.1863
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Section on Machine Vision and its Applications)
Category: 
Keyword: 
fuzzy data fusion,  adaptive combination,  Choquet fuzzy integral,  face recognition,  

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Summary: 
A new adaptive model based on fuzzy integrals has been presented and used for combining three well-known methods, Eigenface, Fisherface and SOMface, for face classification. After training the competence estimation functions, the adaptive mechanism enables our system the filtering of unsure judgments of classifiers for a specific input. Comparison with classical and non-adaptive approaches proves the superiority of this model. Also we examined how these features contribute to the combined result and whether they can together establish a more robust feature.