Iris Recognition Using Machine Learning Based Pearson's Correlation Coefficient Feature Selection with Hamming Distance-Reference-Cited by-同舟云学术

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Iris Recognition Using Machine Learning Based Pearson's Correlation Coefficient Feature Selection with Hamming Distance

Published:2023-12-04 Issue: Volume:4 Page:1-5
ISSN:
Container-title:2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC)
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Author:

Alzubaidi Laith H.¹,Malathy V²,Hussein A. H. A.³,Abood Baydaa Sh. Z.⁴,Tamilarasi N.⁵

Affiliation:

1. The Islamic University,Najaf,Iraq

2. School of Engineering, SR University,Department of ECE,Warangal,Telangana,India

3. College of Pharmacy, Ahl Al Bayt University,Karbala,Iraq

4. National University of Science and Technology,Dhi Qar,Iraq

5. Nehru institute of Technology,Department of IT,Coimbatore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10435701/10435648/10435918.pdf?arnumber=10435918

Reference16 articles.

1. Open‐set iris recognition based on deep learning

2. Feature Encoding and Selection for Iris Recognition Based on Variable Length Black Hole Optimization

3. Framework for biometric iris recognition in video, by deep learning and quality assessment of the iris-pupil region

4. Elephant herding with whale optimization enabled ORB features and CNN for Iris recognition

5. New Methods in Iris Recognition

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