Convolutional neural networks and face recognition task

A. Sochenkova; I. Sochenkov; A. Makovetskii; A. Vokhmintsev; A. Melnikov

doi:10.1117/12.2273624

19 September 2017 Convolutional neural networks and face recognition task

A. Sochenkova, I. Sochenkov, A. Makovetskii, A. Vokhmintsev, A. Melnikov

Proceedings Volume 10396, Applications of Digital Image Processing XL; 103962L (2017) https://doi.org/10.1117/12.2273624
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

Abstract

Computer vision tasks are remaining very important for the last couple of years. One of the most complicated problems in computer vision is face recognition that could be used in security systems to provide safety and to identify person among the others. There is a variety of different approaches to solve this task, but there is still no universal solution that would give adequate results in some cases. Current paper presents following approach. Firstly, we extract an area containing face, then we use Canny edge detector. On the next stage we use convolutional neural networks (CNN) to finally solve face recognition and person identification task.

Citation Download Citation

A. Sochenkova, I. Sochenkov, A. Makovetskii, A. Vokhmintsev, and A. Melnikov "Convolutional neural networks and face recognition task", Proc. SPIE 10396, Applications of Digital Image Processing XL, 103962L (19 September 2017); https://doi.org/10.1117/12.2273624

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