Methods of face feature extraction of the human identification problem

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.