Touchless 3D fingerprint sensors can capture both 3D depth information and albedo images of the finger surface. Compared with 2D fingerprint images acquired by traditional contact-based fingerprint sensors, the 3D fingerprints are generally free from the distortion caused by non-uniform pressure and undesirable motion of the finger. Several unrolling algorithms have been proposed for virtual rolling of 3D fingerprints to obtain 2D equivalent fingerprints, so that they can be matched with the legacy 2D fingerprint databases. However, available unrolling algorithms do not consider the impact of distortion that is typically present in the legacy 2D fingerprint images. In this paper, we conduct a comparative study of representative unrolling algorithms and propose an effective approach to incorporate distortion into the unrolling process. The 3D fingerprint database was acquired by using a 3D fingerprint sensor being developed by the General Electric Global Research. By matching the 2D equivalent fingerprints with the corresponding 2D fingerprints collected with a commercial contact-based fingerprint sensor, we show that the compatibility between the 2D unrolled fingerprints and the traditional contact-based 2D fingerprints is improved after incorporating the distortion into the unrolling process.
展开▼
机译：非接触式3D指纹传感器可以捕获3D深度信息和手指表面的反照率图像。与通过传统的基于接触的指纹传感器获取的2D指纹图像相比，3D指纹通常没有由于手指压力不均匀和不希望的运动引起的变形。已经提出了几种用于虚拟滚动3D指纹以获得2D等效指纹的展开算法，以便它们可以与旧版2D指纹数据库匹配。但是，可用的展开算法不考虑传统2D指纹图像中通常存在的失真的影响。在本文中，我们对代表性展开算法进行了比较研究，并提出了一种将失真纳入展开过程的有效方法。通过使用由General Electric Global Research开发的3D指纹传感器获取3D指纹数据库。通过将2D等效指纹与通过商用基于接触的指纹传感器收集的相应2D指纹进行匹配，我们表明，在将变形纳入展开过程之后，二维展开的指纹与传统的基于接触的2D指纹之间的兼容性得到了改善。
展开▼
