Face Anti-Spoofing by Learning Polarization Cues in a Real-World Scenario | |
Tian, Yu1,2,3; Zhang, Kunbo1,2,3; Wang, Leyuan1,2,3; Sun, Zhenan | |
2020-11-13 | |
会议名称 | 2020 4th International Conference on Advances in Image Processing |
会议日期 | November 13 - 15, 2020 |
会议地点 | Chengdu, China |
摘要 | Face anti-spoofing is the key to preventing security breaches in biometric recognition applications. Existing face anti-spoofing approaches usually well recognize the spoofing attacks when testing in particular datasets. But the performance drops drastically when it comes to the actual scene. In this paper, we try to boost the generalizability capability by learning the polarization features of human faces in real-time. A human face anti-spoofing method suitable for real scenario has been proposed, which resists spoofing attacks by automatically learning the physical characteristics of polarized biometric images. A computational framework is developed to extract and classify the unique face polarized features using convolutional neural networks and SVM together. Extensive experiments demonstrate the adv antages of our real-time polarized face anti-spoofing (PAAS) technique to counter diverse face spoofing attacks (print, replay, mask) in uncontrolled indoor and outdoor conditions after learning the polarized face information of 108 people. A four-directional polarized face image dataset (CASIA-DOLP) is released to inspire future applications within biometric anti-spoofing field. |
URL | 查看原文 |
收录类别 | EI |
七大方向——子方向分类 | 生物特征识别 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/45473 |
专题 | 智能感知与计算研究中心 |
作者单位 | 1.Center for Research on Intelligent Perception and Computing 2.National Lab of Pattern Recognition 3.Institute of Automation, Chinese Academy of Sciences |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Tian, Yu,Zhang, Kunbo,Wang, Leyuan,et al. Face Anti-Spoofing by Learning Polarization Cues in a Real-World Scenario[C],2020. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Face Anti-Spoofing b(3838KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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