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http://dx.doi.org/10.5302/J.ICROS.2006.12.1.028

Implementation of Face-recognition System Using Auto-associate Learning of Hippocampus and RFID  

Kwon Byoung Soo (동아대학교 전자공학과)
King Dae-Seong (동아대학교 전기전자컴퓨터공학부)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.12, no.1, 2006 , pp. 28-32 More about this Journal
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.
Keywords
PCA; LDA; HNMA; RFID; face recognition; authentication;
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