A fast fingerprint matching approach in medicare identity verification based on GAs

Authors:
Qingquan Wang;Lili Rong
Affiliations:
Institute of Systems Engineering, Dalian University of Technology, Dalian, China;Institute of Systems Engineering, Dalian University of Technology, Dalian, China
Venue:
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
Year:
2005

Citing 5
Cited 1

Automated fingerprint recognition using structural matching

Pattern Recognition
Genetic algorithms + data structures = evolution programs (3rd ed.)

Genetic algorithms + data structures = evolution programs (3rd ed.)
On-Line Fingerprint Verification

IEEE Transactions on Pattern Analysis and Machine Intelligence
Drift analysis and average time complexity of evolutionary algorithms

Artificial Intelligence
Evolutionary computation comes of age

Cognitive Systems Research

Fast fingerprint matching based on the novel structure combining the singular point with its neighborhood minutiae

CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents an approach to the problem of the identity verification speed by means of fingerprint pattern recognition in the Medicare real-time settlement system. This study aims to speed up the fingerprint feature transmission by greatly reducing the space of feature, and improve fingerprint matching speed under a comparative matching precision. To solve the problem, we take several aspects into consideration: reducing the space of one minutiae point occupied, abandoning the global feature to reduce the feature space, depending on the definition of minutiae point's direction and restriction of transformation for precision, and controlling the number of evolutionary species by searching the optimization parameters. The experiment results indicate that this approach manages to speed up the transmission and matching effectively, and therefore prove to be suitable for the Medicare identity verification.