Mobile to Server Face Recognition: A System Overview
This paper presents a system overview of Mobile to Server Face Recognition, which is a face recognition application developed specifically for mobile phones. Images taken from mobile phone cameras lack of quality due to the low resolution of the cameras. Thus, a prototype is developed to experiment the chosen method. However, this paper shows a result of system backbone without the face recognition functionality. The result demonstrated in this paper indicates that the interaction between mobile phones and server is successfully working. The result shown before the database is completely ready. The system testing is currently going on using real images and a mock-up database to test the functionality of the face recognition algorithm used in this system. An overview of the whole system including screenshots and system flow-chart are presented in this paper. This paper also presents the inspiration or motivation and the justification in developing this system.
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And Machine Intelligence, vol. 24, no. 1, pp. 34-58, 2002.
[8] Omron, Okao Vision Face Recognition Sensor. Available at
http://www.omron.com/ecb/products/mobile/ and
http://www.physorg.com/news3233.html, 2005.
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[1] R. Chellappa, C.L. Wilson, and S. Sirohey, "Human and machine
recognition of faces: A survey", in Proceedings of IEEE, vol. 83, no. 5,
pp. 705-740,1995.
[2] H. Wechsler, P. Phillips, V. Bruce, F. Soulie, and T. Huang, "Face
Recognition: From Theory to Applications", Springer-Verlag, 1996.
[3] W. Zhao, R. Chellappa, A. Rosenfeld, and P.J. Phillips, "Face
Recognition: A Literature Survey", Cvl Technical Report, University of
Maryland. Available at Ftp://Ftp.Cfar.Umd.Edu/Trs/Cvl- Reports-
2000/Tr4167-Zhao.Ps.Gz, 2000.
[4] S. Gong, S.J. Mckenna, and A. Psarrou, "Dynamic Vision: From Images
To Face Recognition", Imperial College Press And World Scientific
Publishing, 2000.
[5] A. Pentland, B. Moghaddam, and T. Starner, "View-Based And Modular
Eigenspaces For Face Recognition", In Procedings Of Ieee Conference
On Computer Vision And Pattern Recognition, pp. 84-91, 1995.
[6] G. Donato, M. Bartlett, J. Hager, P. Ekman, and T. Sejnowski,
"Classifying Facial Actions", In Proceedings of IEEE Transactions On
Pattern Analysis And Machine Intelligence, vol. 21, no. 10, pp. 974-989,
1999.
[7] M.H. Yang, D.J., Kriegman, and N. Ahuja, "Detecting Faces In Images:
A Survey", in Proceedings of IEEE Transactions On Pattern Analysis
And Machine Intelligence, vol. 24, no. 1, pp. 34-58, 2002.
[8] Omron, Okao Vision Face Recognition Sensor. Available at
http://www.omron.com/ecb/products/mobile/ and
http://www.physorg.com/news3233.html, 2005.
[9] Xid Technology News. Available at
http://www.xidtech.com/face_logon.htm, 2008.
[10] K.L. Kroeker, "Face Recognition Breakthrough", Communications of
the ACM, A Blind Person-s Interaction with Technology, vol. 52, issue 8,
New York, 2009.
[11] A.Y. Yang, J. Wright, Y. Ma, and S. Sastry, "Feature Selection in Face
Recognition: A Sparse Representation Perspective", UC Berkeley Tech
Report UCB/EECS-2007-99, 2007.
[12] Women-s Aid Organisation (WAO). Available at
http://www.wao.org.my/research/rape.htm
[13] I. Mat, A. Hussin, and R. Karim, Berita Harian, "Perogol Noor Suzaily
Jalani Hukuman". Available at
http://www.malaysianbar.org.my/legal/general_news/perogol_noor_suza
ily_jalani_hukuman_gantung.html, 2008.
[14] The Star. Available at
http://www.thestar.com.my/news/story.asp?file=/2008/1/10/nation/1996
7868&sec=nation, 2008.
[15] A.S. Sidhu, "The Rise Of Crimes In Malaysia: An Academic And
Statistical Analysis", Journal Of The Kuala Lumpur Royal Malaysia
Police College, Issue no. 4, 2005.
[16] P. Budde, "Malaysia - Mobile Communications - Market Overview",
Paul Budde Communication Pty Ltd. Australia, 2008
@article{"International Journal of Information, Control and Computer Sciences:49847", author = "Nurulhuda Ismail and Mas Idayu Md. Sabri", title = "Mobile to Server Face Recognition: A System Overview", abstract = "This paper presents a system overview of Mobile to Server Face Recognition, which is a face recognition application developed specifically for mobile phones. Images taken from mobile phone cameras lack of quality due to the low resolution of the cameras. Thus, a prototype is developed to experiment the chosen method. However, this paper shows a result of system backbone without the face recognition functionality. The result demonstrated in this paper indicates that the interaction between mobile phones and server is successfully working. The result shown before the database is completely ready. The system testing is currently going on using real images and a mock-up database to test the functionality of the face recognition algorithm used in this system. An overview of the whole system including screenshots and system flow-chart are presented in this paper. This paper also presents the inspiration or motivation and the justification in developing this system.
", keywords = "Mobile to server, face recognition, system overview.", volume = "4", number = "9", pages = "1387-5", }
