Face Verification using LDA and MLP on the BANCA database

In this paper, we propose a system for face verification. It describes in detail each stage of the system: the modeling of the face, the extraction of relevant features and the classification of the input face as a client or an impostor. This system is based on LDA feature extraction, successfully used in previous st and MLP for classification. Experiments were carried out on a difficult multi-modal database, namely BANCA. Results show that our approach perform better than the state-of-the-art on the same database. Experiments show also contradictory results in the state-of-the-art literature.


Year:
2003
Publisher:
IDIAP
Keywords:
Laboratories:




 Record created 2006-03-10, last modified 2018-01-27

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