NDLI: A Computationally Efficient Fingerprint Matching Algorithm for Implementation on Smartcards

Content Provider	IEEE Xplore Digital Library
Author	Govan, M. Buggy, T.
Copyright Year	2007
Description	Author affiliation: Glasgow Caledonian Univ., Glasgow (Govan, M.; Buggy, T.)
Abstract	Biometric methods have established as the pinnacle of reliable authentication, but while able to overcome the limitations of traditional methods, many social issues (e.g., the methods of preserving privacy and maintaining security) require resolution. With the ability to securely store and execute data, smartcard technologies are increasingly playing an important role in establishing highly usable, secure and trusted solutions, but due to technological constraints computationally intensive applications are presently restricted or prohibited. The implementation of biometric methods is a challenging proposition: to date, existing solutions address this problem by decoupling the matching algorithm, but this only serves to reintroduce significant security vulnerabilities. With the primary aim of reducing the complexity of computation and so enabling the development of a solution which enhances data security, this paper presents a fingerprint representation/encoding scheme, which through an adaptation to the generic architecture can establish a disturbance rejection methodology capable of differentiating between equivalent and extraneous data. Initial experimental results demonstrate this novel concept addresses practical system limitations by reducing the affects of measurable disturbances, yielding a significant reduction in the magnitude of computation, so aiding the development of truly secure solution based within resource-constrained environments.
Starting Page	1
Ending Page	6
File Size	2029718
Page Count	6
File Format	PDF
ISBN	9781424415960
DOI	10.1109/BTAS.2007.4401959
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biometrics Privacy Power engineering computing Data security Authentication Computer applications Computer architecture Fingerprint recognition Encoding Protection
Content Type	Text
Resource Type	Article

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