Global Security Using Human Face Understanding under Vision Ubiquitous Architecture System
Different methods containing biometric algorithms are
presented for the representation of eigenfaces detection including
face recognition, are identification and verification. Our theme of this
research is to manage the critical processing stages (accuracy, speed,
security and monitoring) of face activities with the flexibility of
searching and edit the secure authorized database. In this paper we
implement different techniques such as eigenfaces vector reduction
by using texture and shape vector phenomenon for complexity
removal, while density matching score with Face Boundary Fixation
(FBF) extracted the most likelihood characteristics in this media
processing contents. We examine the development and performance
efficiency of the database by applying our creative algorithms in both
recognition and detection phenomenon. Our results show the
performance accuracy and security gain with better achievement than
a number of previous approaches in all the above processes in an
encouraging mode.
[1] S.Shan, W.Gao, B.Cao and D.Zhao, "illumination normalization for
robust face recognition with varying lighting conditions," Proc. IEEE
International Workshop on AMFG, pp. 157-164, 2003.
[2] Jae-Ho Lee, "Automatic Video Management System Using Face
Recognition and MPEG-7 Visual descriptors,"ETRI Journal, vol. 27, no.
6, pp.806-809, Dec. 2005.
[3] P.N. Belhumeour, J.P. Hespanha and D.J. Kriegman, "Eigenfaces vs.
fisherfaces: Recognition using class specific linear projection," IEEE
Transactions on Pattern Analysis and Machine Intelligence, vol. 19. no.
7, pp.711-720, 1997.
[1] S.Shan, W.Gao, B.Cao and D.Zhao, "illumination normalization for
robust face recognition with varying lighting conditions," Proc. IEEE
International Workshop on AMFG, pp. 157-164, 2003.
[2] Jae-Ho Lee, "Automatic Video Management System Using Face
Recognition and MPEG-7 Visual descriptors,"ETRI Journal, vol. 27, no.
6, pp.806-809, Dec. 2005.
[3] P.N. Belhumeour, J.P. Hespanha and D.J. Kriegman, "Eigenfaces vs.
fisherfaces: Recognition using class specific linear projection," IEEE
Transactions on Pattern Analysis and Machine Intelligence, vol. 19. no.
7, pp.711-720, 1997.
@article{"International Journal of Information, Control and Computer Sciences:51453", author = "A. Jalal and S. Kim", title = "Global Security Using Human Face Understanding under Vision Ubiquitous Architecture System", abstract = "Different methods containing biometric algorithms are
presented for the representation of eigenfaces detection including
face recognition, are identification and verification. Our theme of this
research is to manage the critical processing stages (accuracy, speed,
security and monitoring) of face activities with the flexibility of
searching and edit the secure authorized database. In this paper we
implement different techniques such as eigenfaces vector reduction
by using texture and shape vector phenomenon for complexity
removal, while density matching score with Face Boundary Fixation
(FBF) extracted the most likelihood characteristics in this media
processing contents. We examine the development and performance
efficiency of the database by applying our creative algorithms in both
recognition and detection phenomenon. Our results show the
performance accuracy and security gain with better achievement than
a number of previous approaches in all the above processes in an
encouraging mode.", keywords = "Ubiquitous architecture, verification, Identification,recognition", volume = "2", number = "1", pages = "58-5", }