NDLI: Accuracy improvement with high convenience in biometric identification using multihypothesis sequential probability ratio test

Content Provider	IEEE Xplore Digital Library
Author	Murakami, T. Takahashi, K.
Copyright Year	2009
Description	Author affiliation: Hitachi, Ltd., Systems Development Laboratory, Yokohama 244-0817, Japan (Murakami, T.; Takahashi, K.)
Abstract	Biometric identification has lately attracted attention because of its high convenience; it does not require a user to enter a user ID. The identification accuracy, however, degrades as the number of the enrollees increases. Although many multimodal biometric techniques have been proposed to improve the identification accuracy, it requires the user to input multiple biometric samples and makes the application less convenient. In this paper, we propose a new multimodal biometric technique that significantly reduces the number of inputs by adopting a multihypothesis sequential test that minimizes the average number of observations. The results of the experimental evaluation using the NIST BSSR1 (Biometric Score Set - Release 1) database showed its effectiveness.
Starting Page	66
Ending Page	70
File Size	505555
Page Count	5
File Format	PDF
ISBN	9781424452798
e-ISBN	9781424452804
DOI	10.1109/WIFS.2009.5386482
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-06
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biometrics Access control Sequential decision fusion Fingerprint recognition MSPRT Biometric identification Application software Degradation Sequential analysis Databases Physics computing Authentication NIST Multimodal biometrics
Content Type	Text
Resource Type	Article

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