Dynamic Face Recognition Based on Improved Pulse Coupled Neural Network
Computer Science

Computer Science ›› 2021, Vol. 48 ›› Issue (6A): 85-88.doi: 10.11896/jsjkx.200600172

• Image Processing & Multimedia Technology • Previous Articles     Next Articles

Dynamic Face Recognition Based on Improved Pulse Coupled Neural Network

WEN He1, LUO Pin-jie2   

  1. 1 Department of Computer Science and Engineering,Chengdu Neusoft University,Chengdu 611844,China
    2 Experimental Management Center,Chengdu Neusoft University,Chengdu 611844,China
  • Online:2021-06-10 Published:2021-06-17
  • About author:WEN He,born in 1982,vice professor,is a member of China Computer Federation.Her main research interests include big data and artificial neural network.
  • Supported by:
    Scientific Research Fundation of Education Department of Sichuan Province,China(17ZB0010,17ZB0009).

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Abstract: Dynamic face recognition has wide application prospects in the field of real-time monitoring and tracking.It is one of the hot spots in the research of face recognition technology.In view of the problem that traditional face recognition technology can not be recognized well in the application of dynamic face recognition,a new method based on background difference method is proposed.The time and space of the pulse coupled neural network is used to generate different ignition sequences for different faces to distinguish different face.Using pulse coupled neural network space-time summation,the pulse coupled neural network neurons are matched with face image pixels,which produces different ignition sequence of different face image pixels.Through analyzing the image pixel ignition sequence,it can distinguish between different faces.Through the experiment on 500 randomly selected group of dynamic face images show that the improved pulse neural network for dynamic face recognition of the actual scene can be used to distinguish between different characters,with robust stability.

Key words: Dynamic identification, Face recognition, Pulse coupled neural network

CLC Number: 

  • TP391
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