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Face Recognition in Mobile Devices

by Hassan Soliman, Ahmed Saleh, Eman Fathi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 73 - Number 2
Year of Publication: 2013
Authors: Hassan Soliman, Ahmed Saleh, Eman Fathi
10.5120/12712-9525

Hassan Soliman, Ahmed Saleh, Eman Fathi . Face Recognition in Mobile Devices. International Journal of Computer Applications. 73, 2 ( July 2013), 13-20. DOI=10.5120/12712-9525

@article{ 10.5120/12712-9525,
author = { Hassan Soliman, Ahmed Saleh, Eman Fathi },
title = { Face Recognition in Mobile Devices },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 73 },
number = { 2 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 13-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume73/number2/12712-9525/ },
doi = { 10.5120/12712-9525 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:38:57.565411+05:30
%A Hassan Soliman
%A Ahmed Saleh
%A Eman Fathi
%T Face Recognition in Mobile Devices
%J International Journal of Computer Applications
%@ 0975-8887
%V 73
%N 2
%P 13-20
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In today's networked world,mobile phone playsvery important role, it affects all aspects of human daily life. The need to maintain the security of information in mobile device is becoming both increasingly important and increasinglydifficult. Some human features likefingerprints, face, hand geometry, voice and iris are used to provide an authentication for security systems to reach high security level instead of traditional password based systems. This paper presents a deployment of face recognition algorithms on mobile devices. Proposed approach uses PCA algorithm with FPIEand DCVon mobile device. In thispaper all calculations done on a mobile phone,in whicha small number of images were used for testing the system. System accuracy is 92% for appropriately chosen threshold, in which the time taken to recognize a face is approximately 0. 35 sec and this can increase when database size increased.

References
  1. Joseph Lewis, University of Maryland, Bowie State University,January 2002,Biometrics for secure Identity Verification: Trends and Developments.
  2. Biometric Recognition2003 ,Security and Privacy Concerns.
  3. Kresimir Delac , Mislav Grgic 2004 ,a survey of biometric recognition methods.
  4. sulochana sonkamble, 2dr. ravindra thool, 3balwant sonkamble 2010, survey of biometric recognition systems and their applications, journal of theoretical and applied information technology.
  5. Anil K. Jain, Ajay2010Kumar,"Biometrics of Next Generation: An Overview .
  6. Eugene Weinstein, Purdy Ho, Bernd Heisele,Tomaso Poggio, Ken Steele,and Anant Agarwal 2002,Handheld Face Identi?cation Technology in a Pervasive Computing Environment.
  7. Etisalat Coll. of Eng. , Sharjah,United Arab Emirates 2005, A GPRS-based remote human face identification system for handheld devices.
  8. Timothy J. Hazen, Eugene Weinstein and Alex Park 2003,Towards Robust Person Recognition On Handheld Devices Using Face and Speaker Identi?cation Technologies.
  9. Shibnath Mukherjee,Zhiyuan Chen 2006, A Secure Face Recognition System for Mobile-devices without The Need of Decryption.
  10. Shang-Hung Lin, Ph. D. 2002,An Introduction to Face Recognition Technology.
  11. Wei-Lun Chao 2010, Face Recognition.
  12. M. Turk, and A. Pentland, Eigenfaces for Face Recognition, Journal of Cognitive Neuroscience, vol. 3 num. 1 (1991) 71-86.
  13. Laboratoire, Equipe 2000 ,Fuzzy Logic Introduction.
  14. J. Mendel. 1995 Fuzzy logic systems for engineering: a tutorial. Proceedings of the IEEE, 83(3):345{377.
  15. Juwei Lu, K. N. Plataniotis, and A. N. Venetsanopoulos,"Face Recognition Using LDA Based Algorithms", May 2002.
  16. D. L. Swets and J. Weng 1996, Using discriminant eigenfeatures for image retrieval, IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 18, no. 8, pp. 831-836.
  17. Jian Yang, David Zhang 2004, Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition ,IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 26, no. 1.
  18. Dong Xu1, Shuicheng Yan2, Lei Zhang, Mingjing Li, Weiying Ma, Zhengkai Liu1 , Hongjiang Zhang,Parallel Image Matrix Compression for Face Recognition
  19. Hakan Cevikalp, Student Member2005, IEEE, Marian Neamtu,Discriminative Common Vectors for Face Recognition , IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 27, no. 1.
  20. Virendra P. Vishwakarma, Member2010, IACSIT, Sujata Pandey, Member, IEEE and M. N. Gupta, Fuzzy based Pixel wise Information Extraction for Face Recognition IACSIT International Journal of Engineering and Technology vol. 2, no. 1.
  21. Daijin Kim Sang-Ho Cho, Bong-Jin Jun2005. Face recognition on a mobile device. In Proceedings of International workshop of Intelligent Information Processing .
  22. C. Schneider, N. Esau, L. Kleinjohann, and B. Kleinjohann 2006. Feature based face localization and recognition on mobile devices. Control, Automation, Robotics and Vision, . ICARCV '06. 9th International Conference on, pages 1.
  23. Song yi Han, Hyun-Ae Park, Dal Ho Cho, Kang Ryoung Park, and Sangyoun Lee2007. Face recognition based on near-infrared light using mobile phone. In ICANNGA (2), pages 440–448.
  24. Chee Kiat Ng, Marios Savvides, and Pradeep K. Khosla. 2005 Real-time face veri?cation system on a cell-phone using advanced correlation ?lters. Automatic Identi?cation Advanced Technologies, IEEE Workshop on, 0:57–62.
  25. Guillaume Dave, Xing Chao, Kishore Sriadibhatla, " Face Recognition in Mobile phones by" 2003.
  26. Mauricio Villegas , Roberto Paredes2010, On Optimising Local Feature Face Recognition for Mobile Devices by V Jornadas de Reconocimiento Biom´etrico de Personas.
  27. Sheifali Gupta , O. P. Sahoo , Ajay Goel, Rupesh Gupta ,A2010 New Optimized Approach to Face Recognition Using EigenFaces.
  28. Charalampos Doukas and Ilias Maglogiannis 2010,A Fast Mobile Face Recognition System for Android OS Based on Eigenfaces Decomposition
  29. Emir Kremi?, Abdulhamit Suba?i2011 ,The Implementation of Face Security for Authentication Implemented on Mobile Phone.
  30. AT&T face database, [Online]. Available: http://www. cl. cam. ac. uk/Research/DTG/attarchive/pub/data/att_faces. t ar. Z
Index Terms

Computer Science
Information Sciences

Keywords

face recognition PCA DCV FPIE mobile phones