Automated fingerprint recognition using structural matching
Pattern Recognition
IEEE Spectrum
Inside risks: the uses and abuses of biometrics
Communications of the ACM
FVC2000: Fingerprint Verification Competition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Biometrics, Personal Identification in Networked Society: Personal Identification in Networked Society
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Enhancing security and privacy in biometrics-based authentication systems
IBM Systems Journal - End-to-end security
A Fingerprint Matching Using Minutia Ridge Shape for Low Cost Match-on-Card Systems
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
An asymmetric fingerprint matching algorithm for Java Card TM
Pattern Analysis & Applications
From Template to Image: Reconstructing Fingerprints from Minutiae Points
IEEE Transactions on Pattern Analysis and Machine Intelligence
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In recent years, biometrics has become established as the pinnacle of reliable authentication, able to overcome the limitations of traditional methods. With the ability to securely store data and execute functions on-card, smartcards can play an important role in providing secure solutions that are both highly usable and trusted, while preserving user privacy. However technological constraints currently prohibit computationally intensive applications on-card, making implementation a challenging problem: to date, current 'match-on-card' applications work by releasing a portion of the template into the off-card environment, thereby reintroducing significant security vulnerabilities. With the aim of developing a secure implementation of a biometric matching algorithm within a resource constrained environment, this paper establishes a disturbance rejection methodology capable of differentiating between equivalent and extraneous data. Initial studies demonstrate this novel concept is capable of yielding significant reductions in the magnitude of computation through the refinement of the feature search-space, opening up the prospect of truly secure 'match-on-card' systems.