Biometrics have become important for authentication on modern mobile devices. Thereby, different biometrics are differently hard to observe by attackers: for example, veins used in vein pattern authentication are only revealed with specialized hardware. In this paper we propose a low cost mobile vein authentication system based on Scale-Invariant Feature Transform (SIFT). We implement our approach as vein recording and authentication prototype, evaluate it using a self recorded vein database, and compare results to other vein recognition approaches applied on the same data.
CITATION STYLE
Fernández Clotet, P., & Findling, R. D. (2018). Mobile wrist vein authentication using SIFT features. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10671 LNCS, pp. 205–213). Springer Verlag. https://doi.org/10.1007/978-3-319-74718-7_25
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