Machine Learning Method for Recognizing Human Eye Pupil Region-Reference-Cited by-同舟云学术

Machine Learning Method for Recognizing Human Eye Pupil Region

Published:2023-08-23 Issue: Volume: Page:
ISSN:
Container-title:2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)
language:
Short-container-title:

Author:

Rajkumar R.¹,D Gokulavani²,K Rajesh³,Apuri Nagaiah⁴,Chandrasekar T.⁵,Begam R Benazir⁶

Affiliation:

1. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,Department of Electronics and Communication Engineering,Chennai,Tamilnadu,India

2. Saveetha School of Engineering, SIMATS,Department of Electronics and Communication Engineering,Chennai,Tamilnadu,India

3. Knowledge Institute of Technology,Department of Electronics and Communication Engineering,Salem,Tamilnadu,India

4. Marri Laxman Reddy Institute of Technology and Management Dhundigal, Medchal,Department of CSD (Data Science),Telangana,India

5. Velammal College of Engineering and Technology,Department of Electrical and Electronics Engineering,Madurai

6. Rajalakshmi Engineering College,Department of Electronics and Communication Engineering,Chennai,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10250420/10250450/10250730.pdf?arnumber=10250730

Reference16 articles.

1. DeformIrisNet: An Identity-Preserving Model of Iris Texture Deformation

2. Pixel-Based Iris and Pupil Segmentation in Cataract Surgery Videos Using Mask R-CNN

3. A Deep Learning Based Diabetic Retinopathy Detection from Retinal Images

4. I-SOCIAL-DB: A labeled database of images collected from websites and social media for Iris recognition

5. A New Benchmarking for Diabetic Retinopathy Using Machine Learning, Deep Learning and Image Processing Techniques;2022 International Conference on Advances in Computing Communication and Applied Informatics (ACCAI),2022