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Computer Science > Computer Vision and Pattern Recognition

Title: Pose-Specific 3D Fingerprint Unfolding

Abstract: In order to make 3D fingerprints compatible with traditional 2D flat fingerprints, a common practice is to unfold the 3D fingerprint into a 2D rolled fingerprint, which is then matched with the flat fingerprints by traditional 2D fingerprint recognition algorithms. The problem with this method is that there may be large elastic deformation between the unfolded rolled fingerprint and flat fingerprint, which affects the recognition rate. In this paper, we propose a pose-specific 3D fingerprint unfolding algorithm to unfold the 3D fingerprint using the same pose as the flat fingerprint. Our experiments show that the proposed unfolding algorithm improves the compatibility between 3D fingerprint and flat fingerprint and thus leads to higher genuine matching scores.
Subjects: Computer Vision and Pattern Recognition (cs.CV)
Journal reference: 15th Chinese Conference on Biometric Recognition (CCBR), Shanghai, China, 2021, pp. 185-194
DOI: 10.1007/978-3-030-86608-2_21
Cite as: arXiv:2404.17149 [cs.CV]
  (or arXiv:2404.17149v1 [cs.CV] for this version)

Submission history

From: Xiongjun Guan [view email]
[v1] Fri, 26 Apr 2024 04:44:23 GMT (1861kb,D)

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