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Proceedings Paper

Convolutional neural networks and face recognition task
Author(s): A. Sochenkova; I. Sochenkov; A. Makovetskii; A. Vokhmintsev; A. Melnikov
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Paper 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.

Paper Details

Date Published: 19 September 2017
PDF: 8 pages
Proc. SPIE 10396, Applications of Digital Image Processing XL, 103962L (19 September 2017); doi: 10.1117/12.2273624
Show Author Affiliations
A. Sochenkova, People's Friendship Univ. of Russia (Russian Federation)
I. Sochenkov, Chelyabinsk State Univ. (Russian Federation)
People's Friendship Univ. of Russia (Russian Federation)
A. Makovetskii, Chelyabinsk State Univ. (Russian Federation)
A. Vokhmintsev, Chelyabinsk State Univ. (Russian Federation)
A. Melnikov, Chelyabinsk State Univ. (Russian Federation)
Ugra Research Institute of Information Technologies (Russian Federation)


Published in SPIE Proceedings Vol. 10396:
Applications of Digital Image Processing XL
Andrew G. Tescher, Editor(s)

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