NDLI: Fingerprint-fingervein multimodal biometric authentication system in field programmable gate array

Content Provider	IEEE Xplore Digital Library
Author	Moganeshwaran, R. Hani, M.K. Suhaini, M.A.
Copyright Year	2012
Description	Author affiliation: VLSI-eCAD Research Laboratory, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia (Moganeshwaran, R.; Hani, M.K.; Suhaini, M.A.)
Abstract	This paper discusses the System-on-Chip (SOC) Field Programmable Gate Array (FPGA) based implementation of multimodal biometric authentication. Multimodal biometric can solve several problems related to the unimodal biometric authentication such as accuracy problem due to noisy data acquisition, biometric spoofing, and non-universality of the biometric traits. Moreover, significant accuracy improvement is difficult to achieve on a unimodal biometric authentication system and the complexity of the improvement process is not suitable for low powered embedded system implementation. By adjusting certain part of each biometric system modal, the complex processing unit can be eliminated allowing for embedded system implementation. Although the accuracy of each biometric system modal will be affected, the fusion of the biometric information will overcome the problem. Furthermore, the need for portable personal authentication has led this research to explore the multimodal biometric authentication in embedded system in which the system is developed in a resource constrained environment. As the first step, fingerprint and fingervein are used as biometric traits and the whole process is implemented in SOC FPGA and executed by general purpose embedded processor in which the biometric information fusion strategy applies at the matching score level. The accuracy of the system is promising with an Error Equal Rate (EER) of 0.33%.
Starting Page	237
Ending Page	242
File Size	438363
Page Count	6
File Format	PDF
ISBN	9781467331173
e-ISBN	9781467331197
e-ISBN	9781467331180
DOI	10.1109/ICCircuitsAndSystems.2012.6408317
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-03
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fingerprint recognition Authentication Accuracy Feature extraction Biometrics (access control) Embedded systems System-on-a-chip SOC fingerprint fingervein FPGA embedded system multimodal biometrics
Content Type	Text
Resource Type	Article

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