3D printed realistic finger vein phantoms
원문 초록
Finger vein pattern recognition is an emerging biometric with a good resistance to presentation attacks and low error rates. One problem is that it is hard to obtain ground truth finger vein patterns from live fingers. In this paper we propose an advanced method to create finger vein phantoms using 3D printing where we mimic the optical properties of the various tissues inside the fingers, like bone, veins and soft tissues using different printing materials and parameters. We demonstrate that we are able to create finger phantoms that result in realistic finger vein images and precisely known vein patterns. These phantoms can be used to develop and evaluate finger vein extraction and recognition methods. In addition, we show that the finger vein phantoms can be used to spoof a finger vein recognition system. This paper is based on the Master's thesis of Rasmus van der Grift.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Motion Transfer-Driven intra-class data augmentation for Finger Vein Recognition
FV-UPatches: Enhancing Universality in Finger Vein Recognition
CFVNet: An End-to-End Cancelable Finger Vein Network for Recognition
PAFedFV: Personalized and Asynchronous Federated Learning for Finger Vein Recognition
$\textit{sweet}$- An Open Source Modular Platform for Contactless Hand Vascular Biometric Experiments
Residual Feature Pyramid Network for Enhancement of Vascular Patterns
토론
이 논문과 연결된 포럼 글이 아직 없습니다.