20 April 2015 Efficient live face detection to counter spoof attack in face recognition systems
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Face recognition is a critical tool used in almost all major biometrics based security systems. But recognition, authentication and liveness detection of the face of an actual user is a major challenge because an imposter or a non-live face of the actual user can be used to spoof the security system. In this research, a robust technique is proposed which detects liveness of faces in order to counter spoof attacks. The proposed technique uses a three-dimensional (3D) fast Fourier transform to compare spectral energies of a live face and a fake face in a mathematically selective manner. The mathematical model involves evaluation of energies of selective high frequency bands of average power spectra of both live and non-live faces. It also carries out proper recognition and authentication of the face of the actual user using the fringe-adjusted joint transform correlation technique, which has been found to yield the highest correlation output for a match. Experimental tests show that the proposed technique yields excellent results for identifying live faces.
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Bikram Kumar Biswas, Bikram Kumar Biswas, Mohammad S. Alam, Mohammad S. Alam, "Efficient live face detection to counter spoof attack in face recognition systems", Proc. SPIE 9477, Optical Pattern Recognition XXVI, 947703 (20 April 2015); doi: 10.1117/12.2177975; https://doi.org/10.1117/12.2177975

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