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The sparse representation of the image in the problems of recognition with the use of the ide of the Monte-Carlo method

Maulenov K. S.  (Lecturer, Kostanay State University)

Zharlykasov B. ZH.  (senior lecturer, Kostanay State University)

Chubarkova E. V.  (PhD (Pedagogical Sciences), Director of the Institute of Engineering and Pedagogical Education of the RSVPU (Ekaterinburg))

The article presents an express method for recognizing faces, based on the concept of sparse representation of the image, generating randomly distributed points on the face. An algorithm is presented for finding generation with maximum recognition accuracy, based on the idea of a static Monte Carlo simulation. It is shown that the developed algorithm and program can be used to simulate and study the tasks of recognizing people on the phenotype of facial images.

Keywords:face recognition, sparse representation, static modeling
 

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Citation link:
Maulenov K. S., Zharlykasov B. Z., Chubarkova E. V. The sparse representation of the image in the problems of recognition with the use of the ide of the Monte-Carlo method // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2019. -№2. -С. 35-38
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