Secure Face Spoof Detection On Android Platform

Computer Engineering

Now a day, smart phone users are increasing rapidly. Information access from Smart-phones and tablets has become main stream both in business and personal environments over the last years. The use of these devices for accessing services like social networks, email or electronic commerce and banking has surpassed the access from traditional computers, turning mobile devices into essential tools in our everyday life. People use simple passwords, they reuse them on different accounts and services, passwords can be shared and cracked, etc. As a result, biometric technologies are now offered as alternatives to passwords, including face authentication on devices with front-facing cameras. However, face authentication is vulnerable to spoofing attacks, to address these issues with face authentication, we take the first step to design Secure Face Detection System On Smart-phone for device unlock. Meanwhile, most of existing databases only concentrate on the antispoofing of different kinds of attacks and ignore the environmental changes in real world applications. In proposed system, we focus on public-domain face spoof will show that the proposed approach is effective in face spoof detection for both replay attack and printed photo attack.

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