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文章基本信息

  • 标题:Biometric Authentication for Online Examination
  • 本地全文:下载
  • 作者:K.Kanimozhi
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2015
  • 卷号:3
  • 期号:9
  • DOI:10.15680/IJIRCCE.2015. 0309149
  • 出版社:S&S Publications
  • 摘要:There are many biometric authentication methods such as face, finger print, iris, hand, veins, keystroke,signature, voice based authentication .Among that face recognition based research has been chosen under cost and timeconsuming factors. The main objective of the face recognition research is to recognize a sample face from a set of givenauthenticated student faces in order to provide more security. Principle component analysis (Eigen face approach) isapplied to recognize a student face that is a face under different lightening and emotional condition. For comparisonand experimental analysis simple approach such as user name and password based authentication and finger print basedauthentication are used. The final result is analysed and the face recognition method produces best result. The presentinvention of face recognition based authentication involves two phases such as, face detection which is the primaryprocess and face recognition which is an authenticating phase.
  • 关键词:Hough Method; Face Color Information Method; Adaboosting method; Normalization; Normalization;Neural Network; Eigen Face Approach
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