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Face Recognition in Mobile Devices

by Hassan Soliman, Ahmed Saleh, Eman Fathi
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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.

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Index Terms

Computer Science
Information Sciences

Keywords

face recognition PCA DCV FPIE mobile phones

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