The Implementation of Face Security for Authentication Implemented on Mobile Phone
Emir Kremić, Abdülhamit Subaşı · 2011
In this paper we are presenting the face recognition security for mobile phones. The model which has been applied for face recognition is Eigenface. The implementation consists from two parts: MATLAB and Droid Emulator for ANDROID mobile phones. The proposed implementation model has come as an idea, since today's mobile phones are computers in medium. We run our e-mails, agendas, storing data, using it for financial applications for viewing stock markets etc., and we would like to provide the approach of security model which will be based on face recognition as a biometric approach for authentication on mobile phones. Due the PIN vulnerability, as the most used mobile phone authentication mechanism we are presenting the approach which will enable a new level of mobile phone user's security. This has been tested with the database which consists from many images of facial expression. The algorithm which was implemented for mobile face recognition on MATLAB side is PCA. Limited with hardware capabilities we made of substitution between accuracy and computation complexity on the application. Proliferation of application and data has aim to increase the user need to protect the data which exist in mobile devices.