Touchless fingerprint recognition represents a rapidly growing field of research which has been studied for more than a decade. Through a touchless acquisition process many issues of touch-based systems are circumvented, e.g. the presence of latent fingerprints or distortions caused by pressing fingers on a sensor surface. However, touchless fingerprint recognition systems reveal new challenges. In particular, a reliable detection and focusing of a presented finger as well as an appropriate preprocessing of the acquired finger image represent the most crucial tasks. Also, further issues, e.g. interoperability between touchless and touch-based fingerprints or presentation attack detection, are currently investigated by different research groups. Many works have been proposed so far to put touchless fingerprint recognition into practise. Published approaches range from self identification scenarios with commodity devices, e.g. smartphones, to high performance on-the-move deployments paving the way for new fingerprint recognition application scenarios. This talk summarizes the state-of-the-art in the field of touchless 2D fingerprint recognition at each stage of the recognition process. Additionally, technical considerations and trade-offs of the presented methods are discussed along with open issues and challenges.
Jannis Priesnitz received his B.Sc. degree of Computer Science in 2015 from the Hochschule Darmstadt (h_da) for which he was granted the faculty award. He continued studying and received his M.Sc. degree in 2018. Since 2018 he is a Ph.D. Student Member of da/sec at the ATHENE – National Research Center for Applied Cybersecurity (previously CRISP). His current research focuses on touchless fingerprint recognition on mobile and embedded devices.