Paper Info
Title
RaspiReader: An Open Source Fingerprint Reader Facilitating Spoof Detection.
Abstract
We present the design and prototype of an open source, optical fingerprint reader, called RaspiReader, using ubiquitous components. RaspiReader, a low-cost and easy to assemble reader, provides the fingerprint research community a seamless and simple method for gaining more control over the sensing component of fingerprint recognition systems. In particular, we posit that this versatile fingerprint reader will encourage researchers to explore novel spoof detection methods that integrate both hardware and software. RaspiReaderu0027s hardware is customized with two cameras for fingerprint acquisition with one camera providing high contrast, frustrated total internal reflection (FTIR) images, and the other camera outputting direct images. Using both of these image streams, we extract complementary information which, when fused together, results in highly discriminative features for fingerprint spoof (presentation attack) detection. Our experimental results demonstrate a marked improvement over previous spoof detection methods which rely only on FTIR images provided by COTS optical readers. Finally, fingerprint matching experiments between images acquired from the FTIR output of the RaspiReader and images acquired from a COTS fingerprint reader verify the interoperability of the RaspiReader with existing COTS optical readers.
Year
Venue
Field
2017
arXiv: Computer Vision and Pattern Recognition
Pattern recognition,Fingerprint Verification Competition,Interoperability,Fingerprint recognition,Computer science,Fingerprint,Software,Artificial intelligence,Discriminative model
DocType
Volume
Citations 
Journal
abs/1708.07887
0
PageRank 
References 
Authors
0.34
9
3
Name
Order
Citations
PageRank
Joshua J. Engelsma1225.78
Kai Cao220718.68
Anil Jain3335073334.84