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Automated image denoising system using deep learning method for face recognition

Naing MinTun   (PhD student, Bauman Moscow State Technical University)

Gavrilov Alexander Igorevich  (Associate professor, Bauman Moscow State Technical University)

Nyan LinnTun   (PhD student, Bauman Moscow State Technical University )

Pyae PhyoPaing   (PhD student, Bauman Moscow State Technical University)

Htet Aung   (PhD student, Bauman Moscow State Technical University)

Analysis of various methods of noise reduction used in the facial recognition system is given. The algorithm of the autoencoder for solving the problem of noise reduction is constructed. Python program is used for modeling the algorithm of the autoencoder. The results of the proposed method have been compared with other standard noise reduction methods. Estimating the efficiency of the algorithm is given using machine learning methods for face recognition purposes.

Keywords:denoising, autoencoder, face recognition, deep learning.
 

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Citation link:
Naing M. , Gavrilov A. I., Nyan L. , Pyae P. , Htet A. Automated image denoising system using deep learning method for face recognition // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2020. -№06. -С. 136-142 DOI 10.37882/2223-2966.2020.06.30
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