Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
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Human Face Recognition used Improved Back-Propagation (BP) Neural Network

  • Zhang, Ru-Yang (Dept. of Information & Communication Eng., Graduate School, Tongmyong University) ;
  • Lee, Eung-Joo (Dept. of Information & Communication Eng., Tongmyong University)
  • Received : 2018.03.12
  • Accepted : 2018.04.06
  • Published : 2018.04.30
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Abstract

As an important key technology using on electronic devices, face recognition has become one of the hottest technology recently. The traditional BP Neural network has a strong ability of self-learning, adaptive and powerful non-linear mapping but it also has disadvantages such as slow convergence speed, easy to be traversed in the training process and easy to fall into local minimum points. So we come up with an algorithm based on BP neural network but also combined with the PCA algorithm and other methods such as the elastic gradient descent method which can improve the original network to try to improve the whole recognition efficiency and has the advantages of both PCA algorithm and BP neural network.

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References

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