Iris Recognition System Techniques: A Literature Survey and Comparative Study-Reference-Cited by-同舟云学术

Iris Recognition System Techniques: A Literature Survey and Comparative Study

Published:2022-03-09 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Conference on Computing and Informatics (ICCI)
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Author:

Farouk Rahmatallah Hossam¹,Mohsen Heba¹,Abd El-Latif Yasser M.²

Affiliation:

1. Future University in Egypt New,Faculty of Computers and Information Technology,Computer Science Department,Cairo,Egypt

2. College of Computing & Information Technology, Arab Academy for Science, Technology & Maritime Transport,Cairo,Egypt

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9756014/9756015/09756079.pdf?arnumber=9756079

Reference16 articles.

1. Investigation of iris segmentation techniques using active contours for non-cooperative iris recognition

2. A DEEP SURVEY ON IRIS RECOGNITION METHODS;lina;Journal of Information and Computational Science,2020

3. Deep Learning Frameworks for Off-Angle Iris Recognition;mahmut;2018 IEEE 9th International Conference on Biometrics Theory Applications and Systems (BTAS),0

4. Deep Iris: Deep Learning for Gender Classification Through Iris Patterns

5. Design and Implementation of an Iris Recognition System;younis;Journal of AL-Qadisiyah for computer science and mathematics,2010

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1. Empirical mode decomposition-based biometric identification using GRU and LSTM deep neural networks on ECG signals;Evolving Systems;2024-08-22

2. Iris Recognition Using an Enhanced Pre-Trained Backbone Based on Anti-Aliased CNNs;IEEE Access;2024

3. Review of iris segmentation and recognition using deep learning to improve biometric application;Journal of Intelligent Systems;2023-01-01