Implementation of a Framework for Healthy and Diabetic Retinopathy Retinal Image Recognition
Joint Authors
Noah Akande, Oluwatobi
Christiana Abikoye, Oluwakemi
Anthonia Kayode, Aderonke
Lamari, Yema
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-19
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
The feature extraction stage remains a major component of every biometric recognition system.
In most instances, the eventual accuracy of a recognition system is dependent on the features extracted from the biometric trait and the feature extraction technique adopted.
The widely adopted technique employs features extracted from healthy retinal images in training retina recognition system.
However, literature has shown that certain eye diseases such as diabetic retinopathy (DR), hypertensive retinopathy, glaucoma, and cataract could alter the recognition accuracy of the retina recognition system.
This connotes that a robust retina recognition system should be designed to accommodate healthy and diseased retinal images.
A framework with two different approaches for retina image recognition is presented in this study.
The first approach employed structural features for healthy retinal image recognition while the second employed vascular and lesion-based features for DR retinal image recognition.
Any input retinal image was first examined for the presence of DR symptoms before the appropriate feature extraction technique was adopted.
Recognition rates of 100% and 97.23% were achieved for the healthy and DR retinal images, respectively, and a false acceptance rate of 0.0444 and a false rejection rate of 0.0133 were also achieved.
American Psychological Association (APA)
Noah Akande, Oluwatobi& Christiana Abikoye, Oluwakemi& Anthonia Kayode, Aderonke& Lamari, Yema. 2020. Implementation of a Framework for Healthy and Diabetic Retinopathy Retinal Image Recognition. Scientifica،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1208197
Modern Language Association (MLA)
Noah Akande, Oluwatobi…[et al.]. Implementation of a Framework for Healthy and Diabetic Retinopathy Retinal Image Recognition. Scientifica No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1208197
American Medical Association (AMA)
Noah Akande, Oluwatobi& Christiana Abikoye, Oluwakemi& Anthonia Kayode, Aderonke& Lamari, Yema. Implementation of a Framework for Healthy and Diabetic Retinopathy Retinal Image Recognition. Scientifica. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1208197
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208197