Abstract
In this paper, we propose a novel method of detecting live body samples in biometrics, which is based on the detection of a blood volume pulse. We used an auto-encoder to extract a signal from the video captured from skin to determine whether the sample is alive or not. The experimental results confirmed that our method could accurately distinguish between live body samples and spoofed samples.
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Acknowledgment
This work was supported by the National Natural Science Foundation of China under Grant no. 61502338, the 2015 key projects of Tianjin Science and Technology Support Program no. 15ZCZDGX00200, and the Open Fund of Guangdong Provincial Key Laboratory of Petrochemical Equipment Fault Diagnosis no. GDUPTKLAB201334.
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Liu, J., Yang, J., Wu, C., Chen, Y. (2016). A Liveness Detection Method Based on Blood Volume Pulse Probing. 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_71
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DOI: https://doi.org/10.1007/978-3-319-46654-5_71
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