Abstract
This paper will be addressing why communication between M2M(machine to machine) in USN(Ubiquitous Sensor Network) has become a hot issue in IT recently. We propose RFID(Radio Frequency Identification) biometrics systems for personal certification to communicate between M2M. This system stores extracted feature vectors from a facial image to each tag. It performs a comparison and interpretation when facial image is inputted. If bio-information of the tag is in accordance with the extracted feature vectors from the input facial image, it is possible to access the database. Otherwise, authentication has failed. The proposed system is expected to be available for personal authentication in the USN with combination of biometrics, which is face, fingerprint, iris, etc, and RFID system.
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© 2007 Springer-Verlag Berlin Heidelberg
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Lee, JY., Jeong, MK., Kim, Y.H., Kang, DS. (2007). An Implementation of the Personal Authentication System for USN. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques. ICIC 2007. Communications in Computer and Information Science, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74282-1_86
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DOI: https://doi.org/10.1007/978-3-540-74282-1_86
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74281-4
Online ISBN: 978-3-540-74282-1
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