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Mathematical Problems in Engineering
Volume 2013, Article ID 519074, 6 pages
Research Article

Research on Face Recognition Based on Embedded System

School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China

Received 8 July 2013; Revised 5 September 2013; Accepted 25 September 2013

Academic Editor: Wuhong Wang

Copyright © 2013 Hong Zhao et al. 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.


Because a number of image feature data to store, complex calculation to execute during the face recognition, therefore the face recognition process was realized only by PCs with high performance. In this paper, the OpenCV facial Haar-like features were used to identify face region; the Principal Component Analysis (PCA) was employed in quick extraction of face features and the Euclidean Distance was also adopted in face recognition; as thus, data amount and computational complexity would be reduced effectively in face recognition, and the face recognition could be carried out on embedded platform. Finally, based on Tiny6410 embedded platform, a set of embedded face recognition systems was constructed. The test results showed that the system has stable operation and high recognition rate can be used in portable and mobile identification and authentication.