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Face Liveness Detection Algorithm based on Livenesslight Network
Zuo, Yinlong1; Gao, Wenlong1; Wang JT(王金涛)2
Department其他
Conference Name2020 International Conference on High Performance Big Data and Intelligent Systems, HPBD and IS 2020
Conference DateMay 23, 2020
Conference PlaceShenzhen, China
Author of SourceInstitute of Semicondutors, Chinese Academy of Sciences ; Professional Committee on Neural Networks and Computational Intelligence of Chinese Association for Artifical Intelligence ; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences ; Shenzhen International Robot City Industrial Park ; Shenzhen Longgang District Robotics Association
Source Publication2020 International Conference on High Performance Big Data and Intelligent Systems, HPBD and IS 2020
PublisherIEEE
Publication PlaceNew York
2020
Indexed ByEI
EI Accession number20204109310966
Contribution Rank2
ISBN978-1-7281-6511-0
KeywordDeep Learning Face Liveness Detection CNN Network Light Structure
AbstractFace liveness detection is the first stage of the whole face detection technology, and it is of great significance to the system security using face recognition technology. In this paper we use convolutional neural networks to extract facial features. Compared to ResNet, SqueezeNet and VGG Face networks, the network structure is lighter and the model training takes less time. After testing, it achieved an accuracy of 99.5% on the Nanjing University of Aeronautics and Astronautics (NUAA) face detection data set of China Southern Airlines. In order to improve the robustness of the model, we built our own dataset through collecting pictures from internet and camera shooting, and horizontally compared the accuracy of the above several models on the self-built dataset. Finally the model proposed in this paper achieved the highest 99.02% accuracy and achieved the best results in actual testing.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/27713
Collection其他
Corresponding AuthorZuo, Yinlong
Affiliation1.Faculty of Robot Science and Engineering, Northeastern University, Shenyang, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
Recommended Citation
GB/T 7714
Zuo, Yinlong,Gao, Wenlong,Wang JT. Face Liveness Detection Algorithm based on Livenesslight Network[C]//Institute of Semicondutors, Chinese Academy of Sciences, Professional Committee on Neural Networks and Computational Intelligence of Chinese Association for Artifical Intelligence, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen International Robot City Industrial Park, Shenzhen Longgang District Robotics Association. New York:IEEE,2020.
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