Fitness-for-Duty Classification using Temporal Sequences of Iris Periocular images-Reference-Cited by-同舟云学术

Fitness-for-Duty Classification using Temporal Sequences of Iris Periocular images

Published:2023-04-19 Issue: Volume: Page:
ISSN:
Container-title:2023 11th International Workshop on Biometrics and Forensics (IWBF)
language:
Short-container-title:

Author:

Zurita Pamela C.¹,Benalcazar Daniel P.²,Tapia Juan E.³

Affiliation:

1. TOC R&D Center,R&D Center,Santiago,Chile

2. Universidad de Chile,DIMEC,Santiago,Chile

3. da/sec-Biometrics and Internet Security Research Group,Hochschule Darmstadt,Darmstadt,Germany

Funder

Ministry of Education

Publisher

IEEE

Link

Reference21 articles.

2. Vehicle collision prediction using cnn-lstms;puviyarasu;CoRR,2016

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. Deep learning Techniques for Identification of Illicit Drug Identification in Youth;2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS);2024-04-17

3. Classify NIR Iris Images Under Alcohol/Drugs/Sleepiness Conditions Using a Siamese Network;Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications;2023-11-27