Title
A high performance fingerprint liveness detection method based on quality related features
Abstract
A new software-based liveness detection approach using a novel fingerprint parameterization based on quality related features is proposed. The system is tested on a highly challenging database comprising over 10,500 real and fake images acquired with five sensors of different technologies and covering a wide range of direct attack scenarios in terms of materials and procedures followed to generate the gummy fingers. The proposed solution proves to be robust to the multi-scenario dataset, and presents an overall rate of 90% correctly classified samples. Furthermore, the liveness detection method presented has the added advantage over previously studied techniques of needing just one image from a finger to decide whether it is real or fake. This last characteristic provides the method with very valuable features as it makes it less intrusive, more user friendly, faster and reduces its implementation costs.
Year
DOI
Venue
2012
10.1016/j.future.2010.11.024
Future Generation Comp. Syst.
Keywords
DocType
Volume
different technology,added advantage,classified sample,fake image,quality assessment,challenging database,high performance fingerprint,direct attack scenario,countermeasures,liveness detection,fingerprints,new software-based liveness,proposed solution,detection approach,security evaluation,vulnerabilities,liveness detection method,signal processing
Journal
28
Issue
ISSN
Citations 
1
Future Generation Computer Systems
57
PageRank 
References 
Authors
1.81
35
4
Name
Order
Citations
PageRank
Javier Galbally188848.38
Fernando Alonso-Fernandez253137.65
Julian Fierrez31732114.87
Javier Ortega-Garcia42273157.07