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Remote Identity Verification Using Gait Analysis and Face Recognition

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成果类型:
期刊论文
作者:
Si, Wen;Zhang, Jing*;Li, Yu-Dong;Tan, Wei;Shao, Yi-Fan;...
通讯作者:
Zhang, Jing
作者机构:
[Zhang, Jing; Si, Wen; Li, Yu-Dong] Shanghai Business Sch, Fac Business Informat, Shanghai 200235, Peoples R China.
[Si, Wen] Fudan Univ, Huashan Hosp, Dept Rehabil, Shanghai 200433, Peoples R China.
[Tan, Wei] Dongguan Univ Technol, Sch Comp Sci & Technol, Dongguan 523830, Peoples R China.
[Shao, Yi-Fan] Shanghai Jiao Tong Univ, ECE Univ Michigan Shanghai Jiao Tong Univ Joint I, Shanghai 200240, Peoples R China.
[Yang, Ge-Lan] Hunan City Univ, Dept Informat Sci & Engn, Yiyang 413000, Peoples R China.
通讯机构:
[Zhang, Jing] S
Shanghai Business Sch, Fac Business Informat, Shanghai 200235, Peoples R China.
语种:
英文
期刊:
Wireless Communications and Mobile Computing
ISSN:
1530-8669
年:
2020
卷:
2020
页码:
8815461:1-8815461:10
机构署名:
本校为其他机构
院系归属:
信息与电子工程学院
摘要:
Biometric identification has verified its effectiveness in personal identity verification because of the uniqueness and noninvasion. In this research, we tend to apply the detection of biometric information to a remote sensing system for the purpose of security area monitoring. Our system is established by collecting signals from the coming individuals via the remote measurement in the specific condition where both kinds of data are detected to determine the identity. Specifically, the measuring of gait signals and facial images is integrated to provide a way of improving the detection accurac...

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