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Research on Face Recognition Based on Embedded System
Joint Authors
Xi-jun, Liang
Hong, Zhao
Peng, Yang
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-10
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Hong, Zhao& Xi-jun, Liang& Peng, Yang. 2013. Research on Face Recognition Based on Embedded System. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1009676
Modern Language Association (MLA)
Hong, Zhao…[et al.]. Research on Face Recognition Based on Embedded System. Mathematical Problems in Engineering No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-1009676
American Medical Association (AMA)
Hong, Zhao& Xi-jun, Liang& Peng, Yang. Research on Face Recognition Based on Embedded System. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1009676
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1009676