Geodesic
Methods of face feature extraction of the human identification problem
Sibirskij žurnal vyčislitelʹnoj matematiki, Tome 9 (2006) no. 3, pp. 207-214 
P. V. Bazanov; O. V. Djosan. Methods of face feature extraction of the human identification problem. Sibirskij žurnal vyčislitelʹnoj matematiki, Tome 9 (2006) no. 3, pp. 207-214. http://geodesic.mathdoc.fr/item/SJVM_2006_9_3_a0/
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     author = {P. V. Bazanov and O. V. Djosan},
     title = {Methods of face feature extraction of the human identification problem},
     journal = {Sibirskij \v{z}urnal vy\v{c}islitelʹnoj matematiki},
     pages = {207--214},
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     volume = {9},
     number = {3},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/SJVM_2006_9_3_a0/}
}
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Voir la notice de l'article provenant de la source Math-Net.Ru

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.

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