CVApr 26, 2024

Pose-Specific 3D Fingerprint Unfolding

arXiv:2404.17149v12 citationsh-index: 13CBR
Originality Synthesis-oriented
AI Analysis

This work addresses compatibility issues in fingerprint recognition systems for security applications, but it is incremental as it builds on existing unfolding methods.

The paper tackled the problem of large elastic deformation when unfolding 3D fingerprints into 2D rolled fingerprints for compatibility with traditional 2D flat fingerprints, resulting in improved genuine matching scores.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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