Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Implementation of Face-recognition System Using Auto-associate Learning of Hippocampus and RFID

해마의 연상학습과 RFID를 이용한 얼굴인식 시스템의 구현

  • 권병수 (동아대학교 전자공학과) ;
  • 강대성 (동아대학교 전기전자컴퓨터공학부)
  • Published : 2006.01.01
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Abstract

Because of the recent development of radio frequency identification (RFID) technologies, various systems for RFID have been proposed. and it expected to become pervasive and ubiquitous. offers tantalizing benefits for supply chain management, inventory control, and many other applications. recently, however, has the convergence of lower cost and increased capabilities made businesses take a hard look at what RFID can do fer them. In this paper, We propose the real-time RFID face recognition system using Hippocampus neuron modeling algorithm(HNMA) and PCA-LDA mixture algorithm. this system store an extracted face-feature in tag and uses for individual authentication.

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References

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