Development of a system using Ultrasonic Sensors to detect Facial Spoof Attack for increased security measure

Abstract

In many applications in recent days, facial detection is being widely used as a measure of security feature in these applications. However, even with many robust facial detection techniques, these systems can be easily spoofed with a use of printed picture or face video. The proposed work involves the development of a robust system using ultrasonic sensors to detect a printed picture or face video spoof attack. Three ultrasonic sensors are strategically placed in order to measure the data received by these sensors and compare each data in different scenarios. In each scenario of live face, video and paper face, series of continuous data received from the sensors is collected on which first degree and second degree quadratic regression is performed. Results of these regression analyses determine a spoof attach against each set of collected data. Final decision of real or spoofed face is determined by the majority count method. The results achieved from the analysis of the data, clearly distinguish real face from paper or video face. The proposed work opens up the possibility of many applications to correctly detect spoof attack and hence increasing the security of applications.