Are spoofs from latent fingerprints a real threat for the best state-of-art liveness detectors?

Roberto Casula, Giulia Orrù, Daniele Angioni, Xiaoyi Feng, Gian Luca Marcialis, Fabio Roli

科研成果: 书/报告/会议事项章节会议稿件同行评审

11 引用 (Scopus)

摘要

We investigated the threat level of realistic attacks using latent fingerprints against sensors equipped with state-of-art liveness detectors and fingerprint verification systems which integrate such liveness algorithms. To the best of our knowledge, only a previous investigation was done with spoofs from latent prints. In this paper, we focus on using snapshot pictures of latent fingerprints. These pictures provide molds, that allows, after some digital processing, to fabricate high-quality spoofs. Taking a snapshot picture is much simpler than developing fingerprints left on a surface by magnetic powders and lifting the trace by a tape. What we are interested here is to evaluate preliminary at which extent attacks of the kind can be considered a real threat for state-of-art fingerprint liveness detectors and verification systems. To this aim, we collected a novel data set of live and spoof images fabricated with snapshot pictures of latent fingerprints. This data set provide a set of attacks at the most favourable conditions. We refer to this method and the related data set as “ScreenSpoof”. Then, we tested with it the performances of the best liveness detection algorithms, namely, the three winners of the LivDet competition. Reported results point out that the ScreenSpoof method is a threat of the same level, in terms of detection and verification errors, than that of attacks using spoofs fabricated with the full consensus of the victim. We think that this is a notable result, never reported in previous work.

源语言英语
主期刊名Proceedings of ICPR 2020 - 25th International Conference on Pattern Recognition
出版商Institute of Electrical and Electronics Engineers Inc.
3412-3418
页数7
ISBN(电子版)9781728188089
DOI
出版状态已出版 - 2020
活动25th International Conference on Pattern Recognition, ICPR 2020 - Virtual, Milan, 意大利
期限: 10 1月 202115 1月 2021

出版系列

姓名Proceedings - International Conference on Pattern Recognition
ISSN(印刷版)1051-4651

会议

会议25th International Conference on Pattern Recognition, ICPR 2020
国家/地区意大利
Virtual, Milan
时期10/01/2115/01/21

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