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International Journal of Distributed Sensor Networks
Volume 2013 (2013), Article ID 952568, 12 pages
http://dx.doi.org/10.1155/2013/952568
Research Article

Using Extension Theory to Design a Low-Cost and High-Accurate Personal Recognition System

Department of Electrical Engineering, National Chin-Yi University of Technology, Taiping Dist., Taichung City 41101, Taiwan

Received 7 November 2012; Accepted 17 February 2013

Academic Editor: Chao Song

Copyright © 2013 Meng-Hui Wang and Po-Yuan Chen. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Meng-Hui Wang and Po-Yuan Chen, “Using Extension Theory to Design a Low-Cost and High-Accurate Personal Recognition System,” International Journal of Distributed Sensor Networks, vol. 2013, Article ID 952568, 12 pages, 2013. doi:10.1155/2013/952568