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The Design Of Identification System For Power Marketing Services

Posted on:2012-02-22Degree:MasterType:Thesis
Country:ChinaCandidate:J YangFull Text:PDF
GTID:2218330371958084Subject:Computer technology
Abstract/Summary:PDF Full Text Request
There are lots of demands on customer identification in the area of Power Marketing services. Usually, salesperson verify customers through the ID number. Biometric technology has developed rapidly in recent years,and the Face Recognition Technology is one of the most active research area in it. Compared with the others, face recognition technology is non-contact, non-mandatory feature, with strong affinity and interesting,and easy for users to accept. There have been more successful cases of application in security area.Through hard work on analysis of biometrics, especially in the development process of face recognition technology, this paper designed and implemented a Automatic Identification System,which based on the IT facilities of Power Grid Company.System integrates a number of technologies.Image processing,PCA and BP neural network,database,and so on. All the algorithms, experiments are used C++ programming language.Large number of experimental data shows that this Face Recognize System based on PCA and BP neural network can get about 90% success rate if the PCA and BP neural network is trained over 600 and 30000 times separately.And,if we put more samples to train the neural network,the system goes more better. This result is fully meet the requirement of power marketing service.At last,this paper gives a suggestion.This suggestion is under the terms of Enterprise Standard of China Southen Power Grid Co.,Ltd.lt ensure the system is stable,and provides plenty of practical applications.
Keywords/Search Tags:Biometrics, Face Recognition, Artificial Neural Networks, ORL, Power Marketing
PDF Full Text Request
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