Recognition of human Iris for biometric identification using Daugman’s method-Reference-Cited by-同舟云学术

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Recognition of human Iris for biometric identification using Daugman’s method

Published:2022-05-14 Issue:4 Volume:11 Page:304-313
ISSN:2047-4938
Container-title:IET Biometrics
language:en
Short-container-title:IET Biometrics

Author:

Mohammed Reend Tawfik¹,Kaur Harleen²^ORCID,Alankar Bhavya²^ORCID,Chauhan Ritu³^ORCID

Affiliation:

1. Department of Computer Technical Engineering College of Information Technology Imam Ja'afar Al‐Sadiq University Al‐Muthanna Iraq

2. Department of Computer Science and Engineering, School of Engineering Sciences and Technology Jamia Hamdard New Delhi India

3. Centre for Computational Biology and Bioinformatics Amity University Noida India

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/bme2.12074

Reference22 articles.

1. Air Quality Forecast using Convolutional Neural Network for Sustainable Development in Urban Environments

2. Fast Iris Recognition on Smartphone by means of Spatial Histograms

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1. A proposed biometric authentication hybrid approach using iris recognition for improving cloud security;Heliyon;2024-08

2. A Multimodal Biometric System for Iris and Face Traits Based on Hybrid Approaches and Score Level Fusion;BIO Web of Conferences;2024

3. Iris Image Recognition Performance Evaluation in Deep Learning from Data Augmentation and Resnet 1x1 Convolution;2024

4. Biometric Identification Advances: Unimodal to Multimodal Fusion of Face, Palm, and Iris Features;Advances in Electrical and Computer Engineering;2024

5. Shake, Shake, I Know Who You Are: Authentication Through Smart Wearable Devices;IEEE Sensors Journal;2023-11-01

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