Evaluation of direct attacks to fingerprint verification systems

Abstract

The vulnerabilities of fingerprint-based recognition systems to direct attacks with and without the cooperation of the user are studied. Two different systems, one minutiae-based and one ridge feature-based, are evaluated on a database of real and fake fingerprints. Based on the fingerprint images quality and on the results achieved on different operational scenarios, we obtain a number of statistically significant observations regarding the robustness of the systems.

arXiv commentPublished at Springer Journal of Telecommunication Systems, Special Issue of Biometrics Systems & Applications

References in corpus (3)

• A Comparative Study of Fingerprint Image-Quality Estimation Methods
• Fingerprint Image-Quality Estimation and its Application to Multialgorithm Verification
• On the vulnerability of fingerprint verification systems to fake fingerprint attacks

Cited by in corpus (5)

• A high performance fingerprint liveness detection method based on quality related features
• Biometric Presentation Attack Detection: Beyond the Visible Spectrum
• Patch-based Fake Fingerprint Detection Using a Fully Convolutional Neural Network with a Small Number of Parameters and an Optimal Threshold
• Adaptive thresholding pattern for fingerprint forgery detection
• GAN pretraining for deep convolutional autoencoders applied to Software-based Fingerprint Presentation Attack Detection