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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Notes
- 1.
MCC mentioned in this paper refers to MCC8b.
- 2.
The cylinder of original MCC structure is divided into six layers in height, and each layer is divided into 8 × 8 cells.
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Acknowledgments
This work is supported by the Natural Science Foundation of Shandong Province, China (No. ZR2014FM004).
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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: Zhou, J., et al. Biometric Recognition. CCBR 2018. Lecture Notes in Computer Science(), vol 10996. Springer, Cham. https://doi.org/10.1007/978-3-319-97909-0_7
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DOI: https://doi.org/10.1007/978-3-319-97909-0_7
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