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Fingerprint presentation attacks detection based on the user-specific effect | IEEE Conference Publication | IEEE Xplore

Fingerprint presentation attacks detection based on the user-specific effect


Abstract:

The similarities among different acquisitions of the same fingerprint have never been taken into account, so far, in the feature space designed to detect fingerprint pres...Show More

Abstract:

The similarities among different acquisitions of the same fingerprint have never been taken into account, so far, in the feature space designed to detect fingerprint presentation attacks. Actually, the existence of such resemblances has only been shown in a recent work where the authors have been able to describe what they called the “user-specific effect”. We present in this paper a first attempt to take advantage of this in order to improve the performance of a FPAD system. In particular, we conceived a binary code of three bits aimed to “detect” such effect. Coupled with a classifier trained according to the standard protocol followed, for example, in the LivDet competition, this approach allowed us to get a better accuracy compared to that obtained with the “generic users” classifier alone.
Date of Conference: 01-04 October 2017
Date Added to IEEE Xplore: 01 February 2018
ISBN Information:
Electronic ISSN: 2474-9699
Conference Location: Denver, CO, USA

References

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