**:** . .,

. .
**:**
**. :** 0421200023\0029

**:** 38
**:**
**:** 2012
**:** . ., . . / . 38. .: , 2012. .65-77.

** :** , , , , ,

** (.):** biometric identification, principal component analysis, Mahalanobis distance, active shape model, statistical class, measure of inclusion

**:** . . . . .

** (.):** We consider a formal statement of the face feature points construction problem in terms of statistical identification. The process of feature points construction based on the training set is described. The formal definition of statistical classes is given. We suggest a method for face identification using statistical classes and feature points. In conclusion the results of experiments and comparison with the known methods are given.

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