Emerging 3D fingerprint recognition technologies have attracted growing attention in addressing the limitations from contact-based fingerprint acquisition and improve recognition accuracy. However, the complex 3D imaging setups employed in these systems typically require structured lighting with scanners or multiple cameras which are bulky with higher cost. This paper presents a more accurate and efficient 3D fingerprint identification approach using a single 2D camera with multiple colored LED illumination. A 3D minutiae tetrahedron based algorithm is developed to more efficiently match recovered minutiae features in 3D space and address the limitations of 3D minutiae matching approach in the literature. This algorithm significantly improves the matching time to about 15 times than the state-of-art in the reference. A hierarchical tetrahedron matching scheme is also developed to further improve the matching accuracy with faster speed. The 2D images acquired to reconstruct the 3D fingerprints are also used to recover 2D minutiae and further improve matching performance for 3D fingerprints. A new two-session database acquiring from 300 different clients consists of 2760 3D fingerprints reconstructed from 5520 colored 2D fingerprints is also developed and shared in public domain to further advance much needed research in this area. Extensive experimental results presented in this paper validate our approach and demonstrate the effectiveness of proposed algorithms.

中文翻译：

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使用彩色 LED 照明的基于四面体的快速 3D 指纹识别


新兴的 3D 指纹识别技术在解决接触式指纹采集的局限性并提高识别准确性方面引起了越来越多的关注。然而，这些系统中采用的复杂 3D 成像设置通常需要带有扫描仪或多台相机的结构照明，这些设备体积庞大且成本较高。本文提出了一种使用具有多种彩色 LED 照明的单个 2D 摄像头的更准确、更高效的 3D 指纹识别方法。开发了基于 3D 细节四面体的算法，以更有效地匹配 3D 空间中恢复的细节特征，并解决文献中 3D 细节匹配方法的局限性。该算法将匹配时间显着缩短至参考文献中现有技术的约 15 倍。还开发了分层四面体匹配方案，以更快的速度进一步提高匹配精度。为重建 3D 指纹而获取的 2D 图像也可用于恢复 2D 细节并进一步提高 3D 指纹的匹配性能。还开发了一个新的两会话数据库，该数据库从 300 个不同的客户那里获取了由 5520 个彩色 2D 指纹重建而成的 2760 个 3D 指纹，并在公共领域共享，以进一步推进该领域急需的研究。本文提出的大量实验结果验证了我们的方法并证明了所提出算法的有效性。