NDLI: CBAS: A CNN-based biometrics authentication system

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CBAS: A CNN-based biometrics authentication system

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CBAS: A CNN-based biometrics authentication system

Content Provider	IEEE Xplore Digital Library
Author	Malki, S. Spaanenburg, L.
Copyright Year	2010
Description	Author affiliation: Dept. Electr. & Inf. Technol., Lund Univ., Lund, Sweden (Malki, S.; Spaanenburg, L.)
Abstract	Biometric identification is an important security application that requires non-intrusive capture and real-time processing. Security systems based on fingerprints and retina patterns have been widely developed, but can be easily falsified. Recently, identification by vein patterns has been practiced as a promising alternative. The paper presents a CNN-based system, realized on an FPGA that is able to perform all three recognition methods. The focus is on the vein recognition algorithm whose detection quality is sufficient for person identification but scalable for authentication.
Starting Page	1
Ending Page	6
File Size	1218456
Page Count	6
File Format	PDF
ISBN	9781424466795
e-ISBN	9781424466801
DOI	10.1109/CNNA.2010.5430267
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-02-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biometrics Authentication Veins Fingerprint recognition Retina Fingers Iris Information security Pattern recognition Human computer interaction Vascular Pattern Recognition Cellular Neural Networks Biometrics Authentication Vein Feature Extraction
Content Type	Text
Resource Type	Article

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