Wang Yongchang, Lau Daniel L, Hassebrook Laurence G
1 Quality Street Suite 800, University of Kentucky, Lexington, Kentucky 40507, USA.
Appl Opt. 2010 Feb 1;49(4):592-600. doi: 10.1364/AO.49.000592.
To solve problems associated with conventional 2D fingerprint acquisition processes including skin deformations and print smearing, we developed a noncontact 3D fingerprint scanner employing structured light illumination that, in order to be backwards compatible with existing 2D fingerprint recognition systems, requires a method of unwrapping the 3D scans into 2D equivalent prints. For the latter purpose of virtually flattening a 3D print, this paper introduces a fit-sphere unwrapping algorithm. Taking advantage of detailed 3D information, the proposed method defuses the unwrapping distortion by controlling the distances between neighboring points. Experimental results will demonstrate the high quality and recognition performance of the 3D unwrapped prints versus traditionally collected 2D prints. Furthermore, by classifying the 3D database into high- and low-quality data sets, we demonstrate that the relationship between quality and recognition performance holding for conventional 2D prints is achieved for 3D unwrapped fingerprints.
为了解决与传统二维指纹采集过程相关的问题，包括皮肤变形和指纹涂抹，我们开发了一种采用结构光照明的非接触式三维指纹扫描仪。为了与现有的二维指纹识别系统向后兼容，该扫描仪需要一种将三维扫描展开为二维等效指纹的方法。针对将三维指纹虚拟扁平化这一目的，本文介绍了一种拟合球体展开算法。该方法利用详细的三维信息，通过控制相邻点之间的距离来消除展开过程中的失真。实验结果将证明三维展开指纹相对于传统采集的二维指纹具有更高的质量和识别性能。此外，通过将三维数据库分类为高质量和低质量数据集，我们证明了传统二维指纹的质量与识别性能之间的关系在三维展开指纹中同样成立。
