Proceedings of SPIE - The International Society for Optical Engineering.
Society of Photo-Optical Instrumentation Engineers, Bellingham, WA, United States.
Том 10337.
2017.
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. © 2017 SPIE.