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Performance evaluation of 2D to 3D fingerprint recognition

机译:2D到3D指纹识别的性能评估

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Fingerprint has been one of the most successful biometrics applied in both forensic law enforcement and security applications. Fingerprint acquisition, for many years, has been accomplished by first pressing a finger on a hard plane and then converting the image into a digital form. Recent developments in fingerprint acquisition technology have resulted in touchless live scan devices that generate 3D representation of fingerprints. To be compatible with legacy 2D fingerprint recognition techniques, the common way to develop an Automatic Fingerprint Identification System (AFIS) using 3D fingerprints is to unwrap 3D fingerprints into 2D equivalent images, then the existing algorithms for 2D fingerprint processing can be utilized. In this paper, we present some observations of 2D to 3D (unraveled 2D equivalent images from 3D model) fingerprints recognition on a small database collected using commercial scanners. False reject rate is adopted to measure the recognition performance and a commercial software VeriFinger is used for recognition. According to our experiments, the general performance of 2D to 3D fingerprints recognition is not comparable to that of 2D fingerprint recognition, specifically, the false reject rate is very high and the number of falsely extracted minutiae is large. Besides, we have analyzed possible reasons for the poor performance and pointed out some future directions regarding 3D fingerprint technology.
机译:指纹已经成为法医执法和安全应用中最成功的生物识别技术之一。多年来,通过首先在坚硬的平面上按下手指,然后将图像转换为数字形式,就可以完成指纹采集。指纹采集技术的最新发展已导致产生3D指纹显示的非接触式实时扫描设备。为了与传统的2D指纹识别技术兼容,使用3D指纹开发自动指纹识别系统(AFIS)的常用方法是将3D指纹解包为2D等效图像,然后可以利用现有的2D指纹处理算法。在本文中,我们介绍了在使用商用扫描仪收集的一个小型数据库上对2D到3D(从3D模型中解开的2D等效图像)指纹识别的一些观察结果。采用错误拒绝率来衡量识别性能,并使用商业软件VeriFinger进行识别。根据我们的实验,2D到3D指纹识别的一般性能无法与2D指纹识别相提并论,特别是,错误拒绝率非常高,错误提取的细节数量也很大。此外,我们分析了性能不佳的可能原因,并指出了有关3D指纹技术的未来方向。

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