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Authors

Prokoshev V. G.

Degree
PhD, the professor, the pro-rector on study of the Vladimir state university
Location
Vladimir
Articles

Using laws maps and discreet cosine transform for face recognition

This article contains a short survey for problems encountered in practical face recognition systems and foreign solutions for decision this problem. There are come to conclusions about the inapplicability their solutions for decision this problem with one sample per person. The recognition model is briefly describes, which have good results for face recognition for One Sample per Person problem. A mathematical model based on subspaces of the attributes is proposed to solve the stability problem of recognition coupled with various distortions of recognizable images that arise in real systems. The work of the proposed model is checked and recognition errors are analyzed.

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Recognition features using closest element method in estimates computing algorithms

A problem of threshold values selection for pattern recognition of compact sets with one sample per object using algorithms for calculating estimates is considered. We study an option to extend the set of samples by ad — hoc set of reference samples. Experimental results and sample set generation options are provided.
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