Abstract
This paper presents a new biometric trait, finger snapping, which can be applied for person authentication. We extract a set of features from finger snapping traces according to time and frequency domain analysis. A prototype is developed on Android smartphones to realize authentication for users. We collect 6160 snapping traces from 22 subjects for continuous 7 days and 324 traces from 54 volunteers across three weeks. Extensive experiments confirm the measurability, permanence, uniqueness, circumvention, universality and acceptability of the finger snapping to realize biometrics based authentication. It shows that the system achieves \(6.1\,\%\) average False Rejection Rate (FRR) and \(5.9\,\%\) average False Acceptance Rate (FAR).
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Acknowledgments
We show thanks to the volunteers who participated in the process of finger snapping collection. This research is partially supported by the National Science Foundation of China (NSFC) under Grant Number 61379128 and 61379127.
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Yang, Y., Hong, F., Zhang, Y., Guo, Z. (2016). Person Authentication Using Finger Snapping — A New Biometric Trait. In: You, Z., et al. Biometric Recognition. CCBR 2016. Lecture Notes in Computer Science(), vol 9967. Springer, Cham. https://doi.org/10.1007/978-3-319-46654-5_84
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DOI: https://doi.org/10.1007/978-3-319-46654-5_84
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