Fuel Loss and Related Emissions Due to Idling of Motorized Vehicles at a Major Intersection in Delhi

Abstract

Fingerprint liveness detection is aimed to detect if a finger-print image, sensed by an electronic device, belongs to an alive fingertip or to be an artificial replica of it. Recent studies have shown that a finger-print can be replicated and, if a clever attacker tries to evade the system, this is an issue. Accordingly, several countermeasures in terms of finger-print liveness detection algorithms have been proposed, but never com-pared on a benchmark data set, internationally accepted by the research community. In this paper, we present some recent experimental results on several state-of-the-art fingerprint liveness detection algorithms on the datasets available at Second International Fingerprint Liveness Detec-tion Competition (LivDet 2011). The results we proposed help assessing which are the more effective approaches used so far.