DocumentCode :
2824759
Title :
Personal Based Authentication by Face Recognition
Author :
Kao, Yungm Wei ; Gu, Hui Zhen ; Yuan, Shyan-Ming
Author_Institution :
Dept. of Comput. Sci. & Eng., Nat. Chiao Tung Univ., Hsinchu
Volume :
2
fYear :
2008
fDate :
2-4 Sept. 2008
Firstpage :
581
Lastpage :
585
Abstract :
Authentication is a significant issue in system control. Traditional account based authentication doesn´t guarantee the exact person of the account. It also suffers from the easily guessed problem. On the other hand, the camera is more and more popular. Personal based authentication via cameras becomes possible for mobile users. In the paper, we propose the PBAS, which conducts the authentication depends on both face image and password. We claim that the password information can be used to enhance face recognition rate, which is the most significant benchmark for identification system. Finally, we simulate the PBAS by PCA method based on both database we constructed and a subset of FERET. The result of experiment shows that our system performs much better than the PCA method without password integration.
Keywords :
authorisation; face recognition; mobile computing; principal component analysis; face recognition; mobile users; password information; password integration; personal based authentication; principal component analysis; Artificial neural networks; Authentication; Cameras; Control systems; Face recognition; Hidden Markov models; Image recognition; Pattern recognition; Principal component analysis; Search engines; authentication; face recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networked Computing and Advanced Information Management, 2008. NCM '08. Fourth International Conference on
Conference_Location :
Gyeongju
Print_ISBN :
978-0-7695-3322-3
Type :
conf
DOI :
10.1109/NCM.2008.167
Filename :
4624208
Link To Document :
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