AG-NAS: An Attention GRU-Based Neural Architecture Search for Finger-Vein Recognition-Reference-Cited by-同舟云学术

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AG-NAS: An Attention GRU-Based Neural Architecture Search for Finger-Vein Recognition

Published:2024 Issue: Volume:19 Page:1699-1713
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Qin Huafeng¹^ORCID,Fan Chao²,Deng Shaojiang²^ORCID,Li Yantao²^ORCID,El-Yacoubi Mounim A.³^ORCID,Zhou Gang⁴^ORCID

Affiliation:

1. School of Computer Science and Information Engineering, Chongqing Technology and Business University, Chongqing, China

2. College of Computer Science, Chongqing University, Chongqing, China

3. Telecom SudParis, Institut Polytechnique de Paris, Palaiseau, SAMOVAR, France

4. Department of Computer Science, William & Mary, Williamsburg, VA, USA

Funder

National Natural Science Foundation of China

Scientific Innovation 2030 Major Project for New Generation of AI

Fellowship of China Post-Doctoral Science Foundation

Special Project on Technological Innovation and Application Development

Science Fund for Creative Research Groups of Chongqing Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Link

http://xplorestaging.ieee.org/ielx7/10206/10319981/10348535.pdf?arnumber=10348535

Reference76 articles.

1. Smudge attacks on smartphone touch screens;Aviv

2. Design and evaluation of a shoulder-surfing resistant graphical password scheme

3. Face recognition using Eigenfaces

4. On-line fingerprint verification

5. Multi-Scale and Multi-Direction GAN for CNN-Based Single Palm-Vein Identification

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