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The Research On Face Recognition Technology

Posted on:2006-04-28Degree:MasterType:Thesis
Country:ChinaCandidate:H Y DiFull Text:PDF
GTID:2178360185984654Subject:Control Engineering
Abstract/Summary:PDF Full Text Request
Face recognition is a challenging task since involves excessive techniques, such as signal processing, artificial neural networks, machine vision. It has become not only the tastes of scientists but also the interests of governments and forces. The governments and industrial communities of many countries are so keen on neural computing techniques that they have invested a large amount of money on corresponding research. Therefore the progress of this subject will not only promote the development of science and technology but also influence the national powers.In this paper, 4 problems are investigated, which include the preprocessing of facial images, the extraction of optimal facial features, the design of classifiers, and the use of artificial neural networks on face recognition. The main contributions of this paper are summarized as follows:a. Put forward a face recognition algorithm based on modular principal component analysis and Angle between Image Vector. The experimental results show that its performance is much better than face...
Keywords/Search Tags:Face recognition, Modular PCA, Modular ICA, Angle between Image Vector, Double Weights Neural Networks
PDF Full Text Request
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