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Development of Multimedia Application for Smartphones
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 95 - Number 2 |
| Year of Publication: 2014 |
| Authors: M. A. Mohamed, A. I. Abdel-fatah, Bassant M. El-den |
10.5120/16564-6228
|
M. A. Mohamed, A. I. Abdel-fatah, Bassant M. El-den . Development of Multimedia Application for Smartphones. International Journal of Computer Applications. 95, 2 ( June 2014), 4-8. DOI=10.5120/16564-6228
Abstract
Information security and verify the user's identity has become one of the biggest concerns of institutions and individuals; this interest emerged many types of authentication. Security field uses three different ways; in the oldest documentation of these methods depending on the specific information such as a password or name. The second type depends on something you have his key, such as a smart cards. The last of these species depends on the dynamic qualities for biometry, which measures the properties of natural or behavioral uniqueness in people to document or rooting their identification and verification including famous biometrics (e. g. fingerprint; retina; iris, as well as some facial characteristics and features), also includes personal behaviors (e. g. signature; voice, and walk). All of this biometrics has its advantages that are compatible with the requirements of the different security systems. The proposed implementation model has come as an idea, since today's mobile phones are computers in medium. They are used in running e-mails; agendas; storing data; markets; etc. , providing some approaches of security model based on face recognition and/or fingerprint as biometrics approaches for authentication on mobile phones. A new level of mobile phone user's security approach is presented this has been tested with the database. The algorithms have been first profiled in MATLAB and then implemented on android based smart-phones. The balance between accuracy and computation complexity on the application is an important mission to achieve it. In this paper the face recognition security for mobile phones has been represented and applied for face by using principle Component Analysis (PCA) technique.
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