https://scholars.lib.ntu.edu.tw/handle/123456789/581302
標題: | Anti-spoofing of live face authentication on smartphone | 作者: | Tseng T.-C Shih T.-F CHIOU-SHANN FUH |
關鍵字: | Cameras; Data streams; Photography; Anti-spoofing; Convolution neural network; Data augmentation; Digital photographs; Face authentication; Face classifiers; Spoofing attacks; Thermal sensors; Smartphones | 公開日期: | 2021 | 卷: | 37 | 期: | 3 | 起(迄)頁: | 605-616 | 來源出版物: | Journal of Information Science and Engineering | 摘要: | Our proposed method is capable of authenticating the input image is from real user or spoofing attack, including paper photograph, digital photograph, and video, using only the Red, Green, Blue (RGB) frontal camera of common smart phone, without the help of depth camera or infrared thermal sensor. We first capture live faces in each frame of input video streams by single shot multi-box detector then feed into our designed convolution neural network after certain data augmentation and finally obtain a well-trained spoof face classifier. Finally, we compared to Parkin and Grinchuk's results, using dataset CASIA-SURF [1], and compare the result of vgg16, InceptionNet, ResNet, DenseNet and MobileNet in CASIA-SURFT dataset. ? 2021 Institute of Information Science. All rights reserved. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105962083&doi=10.6688%2fJISE.20210537%283%29.0007&partnerID=40&md5=d1f96a9f025c9a2d0edc568c55dbb7b3 https://scholars.lib.ntu.edu.tw/handle/123456789/581302 |
ISSN: | 10162364 | DOI: | 10.6688/JISE.20210537(3).0007 |
顯示於: | 資訊工程學系 |
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