Multi-View Face Recognition Based on BP Neural Network and KPCA

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Abstract:

This paper introduces the research background of computer face recognition technology, and puts forward a method of using kernel principal component analysis (KPCA) method and improved BP neural network methods for analysis and identification of multi view face images. The experimental results show that this algorithm is both effective and accurate. It achieved a higher recognition rate and excellent resistance to noise.

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Periodical:

Advanced Materials Research (Volumes 1030-1032)

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1737-1740

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Online since:

September 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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