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Multilevel fusing paired visible light and near-infrared spectral images for face anti-spoofing

文献类型：期刊论文

作者Jiang, Fangling1,2; Liu, Pengcheng1; Zhou, Xiangdong1
刊名PATTERN RECOGNITION LETTERS
出版日期2019-12-01
卷号128页码:30-37
关键词Face anti-spoofing Face anti-spoofing dataset Visible light and near-infrared fusing
ISSN号0167-8655
DOI10.1016/j.patrec.2019.08.008
通讯作者Zhou, Xiangdong(zhouxiangdong@cigit.ac.cn)
英文摘要Face anti-spoofing has become a vital element for guaranteeing the security of face recognition systems. Previous face anti-spoofing approaches generally exploit cues in visible light images or near-infrared images individually. Few studies pay attention to fusing visible light and near-infrared images for face anti-spoofing. However, the strengths and weaknesses of visible light images and near-infrared images for face anti-spoofing can be complementary. In this study, we introduce a new face anti-spoofing dataset named as CIGIT-PPM, which includes paired visible light and near-infrared images with spoofing medium, distance, pose, expression and session variations for both print and 3D mask attacks. Further, we propose a novel fusing paired visible light and near-infrared spectral images CNN based approach for face anti-spoofing, combining the discriminating ability of both visible light and near-infrared spectral images. Specifically, an end-to-end CNN is employed to learn fusing representation from paired images and do classification at multilevel, and then weight averaged strategy is utilized to integrate the classification probability of different levels, which gives the final result that the input paired images are captured from a live face or a spoof face. Extensive experiments show that our method achieves state-of-the-art results on self-collected dataset CIGIT-PPM and public dataset msspoof. (C) 2019 Elsevier B.V. All rights reserved.
资助项目National Natural Science Foundation of China[6180021609] ; National Natural Science Foundation of China[6180070559] ; National Natural Science Foundation of China[61602433] ; National Key Research and Development Program of China[2018YFC0808300] ; CAS Light of West China Program
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000498398400005
出版者ELSEVIER
源URL[http://119.78.100.138/handle/2HOD01W0/10028]  
专题中国科学院重庆绿色智能技术研究院
通讯作者Zhou, Xiangdong
作者单位1.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, 266 Fangzheng Ave, Chongqing 400714, Peoples R China
2.Univ Chinese Acad Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Jiang, Fangling,Liu, Pengcheng,Zhou, Xiangdong. Multilevel fusing paired visible light and near-infrared spectral images for face anti-spoofing[J]. PATTERN RECOGNITION LETTERS,2019,128:30-37.
APA Jiang, Fangling,Liu, Pengcheng,&Zhou, Xiangdong.(2019).Multilevel fusing paired visible light and near-infrared spectral images for face anti-spoofing.PATTERN RECOGNITION LETTERS,128,30-37.
MLA Jiang, Fangling,et al."Multilevel fusing paired visible light and near-infrared spectral images for face anti-spoofing".PATTERN RECOGNITION LETTERS 128(2019):30-37.

入库方式： OAI收割

来源：重庆绿色智能技术研究院

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