20 April 2015 Efficient live face detection to counter spoof attack in face recognition systems
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Abstract
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, 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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