Abstract
For the security of face recognition, this paper proposes an interactive face liveness detection method based on OpenVINO and near infrared camera. Firstly, the face feature points are normalized and the faces are aligned in the environment of OpenVINO and near infrared camera. Secondly, the Euclidean Distance between the mouth feature vectors is calculated. When the distance is greater than a threshold, the system will judge it as a smile. Finally, the system will send random smile commands to the authenticated users to realize liveness detection. According to the results, the proposed method can effectively distinguish between real people and printed photos, and the running time of the liveness detection system based on OpenVINO can reach 14–30 ms, the recognition accuracy can reach 0.977, which has outstanding generalization ability in practical project applications.
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Acknowledgment
This work was supported by the Shanghai Municipal Education Commission’s “Morning Plan” project (NO. AASH1702).
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Zhang, N., Huang, J., Zhang, H. (2020). Interactive Face Liveness Detection Based on OpenVINO and Near Infrared Camera. In: Zhai, G., Zhou, J., Yang, H., An, P., Yang, X. (eds) Digital TV and Wireless Multimedia Communication. IFTC 2019. Communications in Computer and Information Science, vol 1181. Springer, Singapore. https://doi.org/10.1007/978-981-15-3341-9_7
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DOI: https://doi.org/10.1007/978-981-15-3341-9_7
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