REPORT Chingovska_Idiap-RR-19-2013/IDIAP Anti-spoofing in action: joint operation with a verification system Chingovska, Ivana Anjos, André Marcel, Sébastien Anti-spoofing Counter-Measures recognition security verification EXTERNAL http://publications.idiap.ch/attachments/reports/2013/Chingovska_Idiap-RR-19-2013.pdf PUBLIC Idiap-RR-19-2013 2013 Idiap May 2013 Besides the recognition task, today's biometric systems need to cope with additional problem: spoofing attacks. Up to date, academic research considers spoofing as a binary classification problem: systems are trained to discriminate between real accesses and attacks. However, spoofing counter-measures are not designated to operate stand-alone, but as a part of a recognition system they will protect. In this paper, we study techniques for decision-level and score-level fusion to integrate a recognition and anti-spoofing systems, using an open-source framework that handles the ternary classification problem (clients, impostors and attacks) transparently. By doing so, we are able to report the impact of different counter-measures, fusion techniques and thresholding on the overall performance of the final recognition system. For a specific use-case covering face verification, experiments show to what extent simple fusion improves the trustworthiness of the system when exposed to spoofing attacks.