Classification of Eye Abnormality Using Statistical Parameters in Texture Features of Corneal Arcus Image-Reference-Cited by-同舟云学术

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Classification of Eye Abnormality Using Statistical Parameters in Texture Features of Corneal Arcus Image

Published:2018-06-01 Issue:6 Volume:24 Page:4063-4069
ISSN:1936-6612
Container-title:Advanced Science Letters
language:en
Short-container-title:adv sci lett

Author:

Ramlee Ridza Azri¹,Ramli Abd Rahman¹,Hanafi Marsyita¹,Noh Zarina Mohd²,Khmag Asem³

Affiliation:

1. Faculty of Engineering, Communications and Network Engineering, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia

2. Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka, 76100, Melaka, Malaysia

3. Department of Computer and Communication Systems, Faculty of Engineering, Zawia University, Azzawia, Libya

Publisher

American Scientific Publishers

Subject

General Energy,General Engineering,General Environmental Science,Education,General Mathematics,Health(social science),General Computer Science

Cited by 2 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

1. Iris Liveness Detection using Deep Learning Networks;2023 7th International Conference on Trends in Electronics and Informatics (ICOEI);2023-04-11

2. Curvature Best Basis: A Novel Criterion to Dynamically Select a Single Best Basis as the Extracted Feature for Periocular Recognition;IEEE Access;2022

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