Touch-based fingerprint biometrics is one of the most popular biometric modalities with applications in several fields. Problems associated with touch-based techniques such as the presence of latent fingerprints and hygiene issues due to many people touching the same surface motivated the community to look for non-contact-based solutions. For the last few years, contactless fingerprint systems are on the rise and in demand because of the ability to turn any device with a camera into a fingerprint reader. Yet, before we can fully utilize the benefit of noncontact-based methods, the biometric community needs to resolve a few concerns such as the resiliency of the system against presentation attacks. One of the major obstacles is the limited publicly available data sets with inadequate spoof and live data. In this publication, we have developed a Presentation attack detection (PAD) dataset of more than 7500 four-finger images and more than 14,000 manually segmented single-fingertip images, and 10,000 synthetic fingertips (deepfakes). The PAD dataset was collected from six different Presentation Attack Instruments (PAI) of three different difficulty levels according to FIDO protocols, with five different types of PAI materials, and different smartphone cameras with manual focusing. We have utilized DenseNet-121 and NasNetMobile models and our proposed dataset to develop PAD algorithms and achieved PAD accuracy of Attack presentation classification error rate (APCER) 0.14\% and Bonafide presentation classification error rate (BPCER) 0.18\%. We have also reported the test results of the models against unseen spoof types to replicate uncertain real-world testing scenarios.
翻译:与接触技术有关的问题,如由于许多接触同一表面的人存在潜在的指纹和卫生问题,促使社区寻找非接触型解决方案。在过去几年中,由于能够将任何带有相机的装置转换成指纹阅读器,无接触型指纹系统正在上升和需求。然而,在我们充分利用非接触型方法的好处之前,生物鉴别界需要解决一些关注问题,如系统对演示式攻击的适应性等。一个主要障碍是,由于许多接触型和实时数据不足,公众可公开获取的数据集有限,促使社区寻找非接触型解决方案。在这个出版物中,我们开发了一个演示式攻击检测数据集,其中7500多张四指图像和14000多部手动片片断单指印图像,以及1万个合成指针(深藏式)。 PAD数据集来自六种不同的演示式攻击工具(PAI),其中三种不同难度等级的演示式是FIDO协议,其中五种是用于S-Net-MAD 标准,我们使用的SBER-RLA 和S-ROD ARC 格式,我们使用的S-ROAL-ROD Bal-ROD-AD ARC 和不同的PAD-BAD-BA 格式,我们使用的S-RLisal 和S-BAD-S-S-RBAS-S-S-S-S-S-S-S-S-S-S-S-RBAD 和S-RBAD-C-L 和不同的格式格式格式,我们S-S-S-S-S-S-Lisal-CRBLVD-LVD-S-LVD-S-RBAD-RBAD-L 和不同的格式的版本格式,我们使用的五类型,我们使用的S-S-S-C-L 和不同的格式,我们使用的S-S-S-S-S-S-S-SD-S-S-RBAD-RBAD-RBAD-RBAD-RBAD-S-R-L-L-S-S-L-L-L-L-R-R-R-R-RAD-R-RAD-L-L-L-L-L-L-L</s>