A cylinder code-based partial fingerprint matching algorithm for small fingerprint scanners

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Abstract

To solve the problem of partial fingerprint matching difficulty caused by very small fingerprint sensors on mobile terminals, this paper presents a Cylinder Code-based partial fingerprint matching algorithm. The algorithm is inspired by the Minutia Cylinder Code (MCC) structure, and keeps the original MCC structure characteristics while reducing data redundancy. In addition, ridge points are added in the algorithm, which solve the feature loss caused by the small size of the sensors. The proposed algorithm are tested on the FVC2002 database and compared with four well-known matching algorithms. The results show the proposed method has excellent comprehensive performance and ability to apply to light architecture that other algorithms cannot match.

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Kong, X., Wang, Y., Wang, R., Jin, C., & Kim, H. (2018). A cylinder code-based partial fingerprint matching algorithm for small fingerprint scanners. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10996 LNCS, pp. 56–65). Springer Verlag. https://doi.org/10.1007/978-3-319-97909-0_7

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