Abstract
In the mosaicking process of rolled fingerprint, there will be a certain positional offset between adjacent two frames of fingerprint images due to the large elastic deformation of the fingertip portion, which results in a significant mosaicking gap in the rolled fingerprint. Aiming at the problem, a block scale based rolled fingerprint mosaicking algorithm is proposed in this paper. Firstly, the fingerprint image is divided into many small blocks, and the center areas are extracted by the binary search. Then the corresponding lines of the segmented images are mosaicked and all lines are optimized according to the sequence of frames captured in the fingerprint rolling process. Finally, all line sequences are combined to a complete rolled fingerprint. The experimental results show that the proposed algorithm can effectively eliminate the mosaicking gap and the positional deviation of misalignment and reprint, and improve the accuracy of fingerprint recognition.
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Acknowledgement
This work was supported by the Public Welfare Technology Research Program of Zhejiang Province under Grant LGF18F030008.
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Zhang, Y., Gao, M., Zhan, X., Wu, Y., Pan, S. (2019). Rolled Fingerprint Mosaicking Algorithm Based on Block Scale. In: Sun, Z., He, R., Feng, J., Shan, S., Guo, Z. (eds) Biometric Recognition. CCBR 2019. Lecture Notes in Computer Science(), vol 11818. Springer, Cham. https://doi.org/10.1007/978-3-030-31456-9_7
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DOI: https://doi.org/10.1007/978-3-030-31456-9_7
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