Study the effect of eye diseases on the performance of iris segmentation and recognition using transfer deep learning methods-Reference-Cited by-同舟云学术

Study the effect of eye diseases on the performance of iris segmentation and recognition using transfer deep learning methods

Published:2023-11 Issue: Volume:47 Page:101552
ISSN:2215-0986
Container-title:Engineering Science and Technology, an International Journal
language:en
Short-container-title:Engineering Science and Technology, an International Journal

Author:

Saleh Abbadullah .H^ORCID,Menemencioğlu Oğuzhan

Funder

Karabük Üniversitesi

Publisher

Elsevier BV

Subject

Metals and Alloys,Computer Networks and Communications,Fluid Flow and Transfer Processes,Hardware and Architecture,Mechanical Engineering,Biomaterials,Civil and Structural Engineering,Electronic, Optical and Magnetic Materials

Reference42 articles.

1. Biometric authentication and image encryption for image security in cloud framework;Kakkad;Multiscale and Multidisciplinary Modeling, Experiments and Design,2019

2. Iris Recognition Technology (or, Musings While Going through Airport Security);Ravin;Ophthalmology,2016

3. Study on the diseases and deformities causing false rejections for fingerprint authentication;Rajarajan;Int. J. Pure Appl. Math.,2018

4. Y. Moses, Y. Adini, S. Ullman, “Face recognition: The problem of compensating for changes in illumination direction”, Lecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics), 800 LNCS (7): 286–296 (1994).

5. Face recognition under varying illumination based on a 2D face shape model;Xie;Pattern Recogn.,2005

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1. A Novel Framework for Iris Disease Detection Using MobileNetV2 and CNN with Streamlit Interface;2024 10th International Conference on Communication and Signal Processing (ICCSP);2024-04-12