Human face recognition system using modified PCA algorithm and ARM platform

In the recent two decades, user authentication has become a popular issue of identity management. Fingerprints, DNA and the human face are distinct organism characteristics usually used in user identification. In this paper, the human face is the main subject for authentication. Because the ARM syst...

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Veröffentlicht in:2010 International Symposium on Computer, Communication, Control and Automation (3CA) Jg. 2; S. 294 - 297
Hauptverfasser: Chin-Shu Chang, Teh-Lu Liao, Po-Yun Hsu, Kuo-Kuang Chen
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.05.2010
Schlagworte:
Authentication
Cameras
Computer interfaces
DNA
Embedded
Face recognition
Fingerprint recognition
Humans
Identity management systems
Organisms
PCA
Principal component analysis
ISBN:1424455650, 9781424455652
ISSN:2324-7983
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Zusammenfassung:In the recent two decades, user authentication has become a popular issue of identity management. Fingerprints, DNA and the human face are distinct organism characteristics usually used in user identification. In this paper, the human face is the main subject for authentication. Because the ARM system provides strong computation ability, various interfaces such as camera, mass storage, etc. It was used in this study. The main recognizer algorithm-Principal Component Analysis (PCA) is completely accomplished on the ARM system. Finally, an ARM-based human face recognition platform is implemented in this study.
ISBN:1424455650
9781424455652
ISSN:2324-7983
DOI:10.1109/3CA.2010.5533505