NDLI: Time-series detection of perspiration as a liveness test in fingerprint devices

Content Provider	IEEE Xplore Digital Library
Author	Parthasaradhi, S.T.V. Derakhshani, R. Hornak, L.A. Schuckers, S.A.C.
Copyright Year	1998
Abstract	Fingerprint scanners may be susceptible to spoofing using artificial materials, or in the worst case, dismembered fingers. An anti-spoofing method based on liveness detection has been developed for use in fingerprint scanners. This method quantifies a specific temporal perspiration pattern present in fingerprints acquired from live claimants. The enhanced perspiration detection algorithm presented here improves our previous work by including other fingerprint scanner technologies; using a larger, more diverse data set; and a shorter time window. Several classification methods were tested in order to separate live and spoof fingerprint images. The dataset included fingerprint images from 33 live subjects, 33 spoofs created with dental material and Play-Doh, and fourteen cadaver fingers. Each method had a different performance with respect to each scanner and time window. However, all the classifiers achieved approximately 90% classification rate for all scanners, using the reduced time window and the more comprehensive training and test sets.
Starting Page	335
Ending Page	343
Page Count	9
File Size	2074519
File Format	PDF
ISSN	10946977
Volume Number	35
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-08-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Testing Fingerprint recognition Fingers Biometrics Cadaver Biosensors Image matching Dentistry Biological materials Biomedical measurements personal identification Biomedical image processing biomedical measurements biometrics fingerprint recognition liveness pattern recognition
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Information Systems Electrical and Electronic Engineering Human-Computer Interaction Computer Science Applications Software

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