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PCA - based face recognition algorithm

Author: CaiWeiWei
Tutor: CaoWenMing
School: Zhejiang University of Technology
Course: Control Theory and Control Engineering
Keywords: Face Recognition PCA ICA Mode principal component analysis The mode independent yuan analysis Letter of multi-weight The number of neural network
CLC: TP391.41
Type: Master's thesis
Year: 2005
Downloads: 1224
Quote: 5
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Abstract


The face machine automatic identification is a challenging subject , which brings together multiple disciplines of knowledge and technology , such as signal processing , intelligent control , pattern recognition , machine vision . How to use computer fast and accurate automatic identification of face images , has been the hot and difficult image processing and pattern recognition . In this paper, the problems in the recognition process , carried out a series of studies , the main work : 1) the positioning of a single face gray image in the eyes of people face position correction method , it the gray-scale changes in the characteristics of the human eye and the human eye geometry feature and the eyes of the axial symmetry of the design . The experimental results show that this method is visible binocular grayscale image of the single - face to achieve rapid and effective corrective . 2 ) propose a face recognition algorithm based on the mode principal component analysis ( mold PCA) method improved , compared with the traditional PCA face recognition algorithm , this algorithm has higher recognition rate of large illumination changes . 3 ) on the basis of analysis ICA , the ICA face recognition algorithm - an improved modular ICA face recognition algorithm , and experimentally verified by comparing its rationality and superiority . 4 ) combined with the advantages and characteristics of the principal component analysis method and multi-weight function neural network for face , face recognition method is proposed based on the principal component of the multi-weight function neural network analysis , and verified by experiment it practicality.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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