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.
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Wang, Q., Rong, L. (2005). A Fast Fingerprint Matching Approach in Medicare Identity Verification Based on GAs. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3612. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539902_18
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DOI: https://doi.org/10.1007/11539902_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28320-1
Online ISBN: 978-3-540-31863-7
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