Methods of face feature extraction of the human identification problem

P. V. Bazanov, O. V. Djosan

M. V. Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics

Abstract: This paper offers three different methods that are used to extract information features from a face image. We suggest effective modifications of the feature extraction methods based on the principal component analysis, wavelets, hidden Markov models.
The human face recognition experiments were carried out using the database with normalized faces. These experiments have shown advantages and disadvantages of the methods proposed.

Key words: face features extraction, human face recognition, principle component analysis, wavelets, hidden Markov models.

UDC: 681.3

Received: 27.03.2006