LivDet 2017 Fingerprint Liveness Detection Competition 2017

V. Mura, G. Orrú, Roberto Casula, A. Sibiriu, G. Loi, Pierluigi Tuveri, Luca Ghiani, G. Marcialis
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引用次数: 56

Abstract

Fingerprint Presentation Attack Detection (FPAD) deals with distinguishing images coming from artificial replicas of the fingerprint characteristic, made up of materials like silicone, gelatine or latex, and images coming from alive fingerprints. Images are captured by modern scanners, typically relying on solid-state or optical technologies. Since from 2009, the Fingerprint Liveness Detection Competition (LivDet) aims to assess the performance of the state-of-the-art algorithms according to a rigorous experimental protocol and, at the same time, a simple overview of the basic achievements. The competition is open to all academics research centers and all companies that work in this field. The positive, increasing trend of the participants number, which supports the success of this initiative, is confirmed even this year: 17 algorithms were submitted to the competition, with a larger involvement of companies and academies. This means that the topic is relevant for both sides, and points out that a lot of work must be done in terms of fundamental and applied research.
LivDet 2017指纹活性检测大赛
指纹呈现攻击检测(FPAD)处理区分来自指纹特征的人造复制品的图像,由硅树脂、明胶或乳胶等材料组成,以及来自活体指纹的图像。图像由现代扫描仪捕获,通常依赖于固态或光学技术。自2009年以来,指纹活性检测竞赛(LivDet)旨在根据严格的实验协议评估最先进算法的性能,同时对基本成果进行简单概述。该竞赛向所有在该领域工作的学术、研究中心和所有公司开放。参与人数的积极增长趋势支持了这项计划的成功,甚至在今年也得到了证实:17种算法被提交给比赛,更多的公司和学院参与其中。这意味着该课题对双方都有相关性,并指出在基础研究和应用研究方面必须做大量工作。
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