中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Face Liveness Detection Algorithm based on Livenesslight Network

文献类型:会议论文

作者Zuo, Yinlong2; Gao, Wenlong2; Wang JT(王金涛)1
出版日期2020
会议日期May 23, 2020
会议地点Shenzhen, China
关键词Deep Learning Face Liveness Detection CNN Network Light Structure
英文摘要Face 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.
源文献作者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
产权排序2
会议录2020 International Conference on High Performance Big Data and Intelligent Systems, HPBD and IS 2020
会议录出版者IEEE
会议录出版地New York
语种英语
ISBN号978-1-7281-6511-0
源URL[http://ir.sia.cn/handle/173321/27713]  
专题沈阳自动化研究所_其他
通讯作者Zuo, Yinlong
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.Faculty of Robot Science and Engineering, Northeastern University, Shenyang, China
推荐引用方式
GB/T 7714
Zuo, Yinlong,Gao, Wenlong,Wang JT. Face Liveness Detection Algorithm based on Livenesslight Network[C]. 见:. Shenzhen, China. May 23, 2020.

入库方式: OAI收割

来源:沈阳自动化研究所

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