The Impact of Pressure on the Fingerprint Impression: Presentation Attack Detection Scheme

Abstract

Fingerprint recognition systems have been widely deployed in authentication and verification applications, ranging from personal smartphones to border control systems. Recently, the biometric society has raised concerns about presentation attacks that aim to manipulate the biometric system’s final decision by presenting artificial fingerprint traits to the sensor. In this paper, we propose a presentation attack detection scheme that exploits the natural fingerprint phenomena, and analyzes the dynamic variation of a fingerprint’s impression when the user applies additional pressure during the presentation. For that purpose, we collected a novel dynamic dataset with an instructed acquisition scenario. Two sensing technologies are used in the data collection, thermal and optical. Additionally, we collected attack presentations using seven presentation attack instrument species considering the same acquisition circumstances. The proposed mechanism is evaluated following the directives of the standard ISO/IEC 30107. The comparison between ordinary and pressure presentations shows higher accuracy and generalizability for the latter. The proposed approach demonstrates efficient capability of detecting presentation attacks with low BPCER where BPCER is 0% for an optical sensor and 1.66% for a thermal sensor at 5% APCER for both.

A Comprehensive Review of Unimodal and Multimodal Fingerprint Biometric Authentication Systems: Fusion, Attacks, and Template Protection

“…Popli et al proposed a hybrid fingerprint system for spoof detection and matching, achieving a TAR of 100%, a FAR of 0.1%, and an accuracy of 98.56% on the LiveDet 2015 dataset (180). Husseis et al designed a presentation attack instrument species evaluation mechanism compliant with ISO/IEC 30107 specifications, showing effective presentation attack recognition with low error rates (181). An overview of the attacks related to fingerprint and the necessary countermeasures is provided in Table 10.…”