Fingerprint Image Enhancement: Algorithm and Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint quality indices for predicting authentication performance
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Robustness evaluation of biometric systems under spoof attacks
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
Combining perspiration- and morphology-based static features for fingerprint liveness detection
Pattern Recognition Letters
A high performance fingerprint liveness detection method based on quality related features
Future Generation Computer Systems
Experimental results on fingerprint liveness detection
AMDO'12 Proceedings of the 7th international conference on Articulated Motion and Deformable Objects
Multi-scale local binary pattern with filters for spoof fingerprint detection
Information Sciences: an International Journal
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Fingerprint recognition systems are vulnerable to artificial spoof fingerprint attacks, like molds made of silicone, gelatin or Play-Doh. "Liveness detection", which is to detect vitality information from the biometric signature itself, has been proposed to defeat these kinds of spoof attacks. The goal for the LivDet 2009 competition is to compare different methodologies for software-based fingerprint liveness detection with a common experimental protocol and large dataset of spoof and live images. This competition is open to all academic and industrial institutions which have a solution for software-based fingerprint vitality detection problem. Four submissions resulted in successful completion: Dermalog, ATVS, and two anonymous participants (one industrial and one academic). Each participant submitted an algorithm as a Win32 console application. The performance was evaluated for three datasets, from three different optical scanners, each with over 1500 images of "fake" and over 1500 images of "live" fingerprints. The best results were from the algorithm submitted by Dermalog with a performance of 2.7% FRR and 2.8% FAR for the Identix (L-1) dataset. The competition goal is to become a reference event for academic and industrial research in software-based fingerprint liveness detection and to raise the visibility of this important research area in order to decrease risk of fingerprint systems to spoof attacks.