Vision machine learning for detection of ocular pathologies from iris images-Reference-Cited by-同舟云学术

Vision machine learning for detection of ocular pathologies from iris images

Published:2020-01-02 Issue:1 Volume:23 Page:145-155
ISSN:0972-0529
Container-title:Journal of Discrete Mathematical Sciences and Cryptography
language:en
Short-container-title:Journal of Discrete Mathematical Sciences and Cryptography

Author:

Sujatha K.¹,Thivya K. S.²,Anand M.²,Jayachitra N.³,Durgadevi G.⁴,Bhavani N. P. G.⁵,Srividhya V.⁵

Affiliation:

1. Department of Electrical and Electronics Engineering, Dr. M.G.R. Educational and Research Institute, Chennai 600095, Tamil Nadu, India

2. Department of Electronics & Communication Engineering, Dr. M.G.R. Educational and Research Institute, Chennai 600095, Tamil Nadu, India,

3. Department of Chemical Engineering, Dr. M.G.R. Educational and Research Institute, Chennai 600095, Tamil Nadu, India,

4. Department of Electronics & Communication Engineering, New Prince Shri Bhavani College of Engineering and Technology, N. P. G. Bhavani, Chennai 600073, Tamil Nadu, India

5. Department of Electrical And Electronics Engineering, Meenakshi College of Engineering, Chennai 600078, Tamil Nadu, India

Publisher

Informa UK Limited

Subject

Applied Mathematics,Algebra and Number Theory,Analysis

Link

https://www.tandfonline.com/doi/pdf/10.1080/09720529.2020.1721878

Reference9 articles.

1. Robust Vessel Segmentation in Fundus Images

2. Retinal vessel segmentation by improved matched filtering: evaluation on a new high‐resolution fundus image database

3. A review on gender identification using machine learning based on fingerprints

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