| Summary: | 碩士 === 國立臺北教育大學 === 資訊科學系碩士班 === 104 === Follow the rapid growth of technology,related techniques for Face Recognition have slowly risen. And with the persisting social security problems nowadays,Face Recognition started to widely applies in people’s life. Hence,This paper discusses about implementation of EmguCV,a face recognition system,in campus for crime prevention.When incorporated into the campus camera,enhances the campus security by identifying.The system will capture and record the person facial features via the campus camera for the use of trained classifier.These classified individual data of facial features is then used for identity recognition by comparing with image captured on-site.When the degree of similarity between saved and on-site data reaches a certain threshold,the person will be verified. However,the above mentioned technique only works well in public environment.Compared with the former,campus environment will encounter the following two issues.Firstly,light,movement or face being covered could render omissions.Secondly,the come-and-go of people will result in multiple identities being detected as "Strangers" which such faces will continuously judged as "Strangers" if they are not in face database.So, this paper added two technologies.One is face tracking technology that minimize omission issue due to light,movement,or covered face.The second technique is strangers suspicious rate.It automatically trains "Strangers" and do classification thereafter.Then uses statistical analysis to determine the severity of suspicious rate of the "Strangers".Finally,this paper based on face identification methods PCA,FisherFaces,and LBPH, and allow switching to the desired method in an active way.
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