Survey of Strabismus Detection Techniques
Abstract
Strabismus, or “crossed-eyes,” is one of the most
common ocular diseases. Strabismus has a serious impact on
human life. Patients with strabismus not only have visual but also
psychological and social effects from their condition. In adults, one
study showed that large-angle horizontal strabismus could affect
one’s ability to gain employment. This appeared to be more
important for women’s employability than men. These
psychosocial effects may be influenced by whether the degree of
ocular misalignment is detectable by those with whom they have
contact. If the strabismus is not detectable, presumably the
observers’ negative feelings for strabismus would not be invoked.
As a result, a timely strabismus screening becomes important and
essential for preventing strabismus. So far, there are multiple ways
to complete strabismus screening. Traditional strabismus
screening is conducted manually by ophthalmologists through
many tests, such as the cover and uncover test, prism cover test
and the Hirschberg test. The proposed method uses a frontal facial
image from a patient, and it measures the deviation of the
positional similarity of two eyes within the image, which aims to
provide ophthalmologists with interpretable information for the
diagnosis of strabismus.
Keywords:
Strabismus Detection, Convolutional Neural Network, K-Nearest Neighbors, Support Vector MachinePublished
Issue
Section
License
Copyright (c) 2024 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Nehala Noushad, Nikhitha Thomas, Reema Maria Suresh, Rehan T Raj , Resmipriya M G, AI-Based Analysis of Road Congestion Causes Using Real-Time Traffic Camera Data , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Fabeela Ali Rawther, Akhil P Dominic, Alan James, Christy Chacko, Elena Maria Varghese, Early Detection of Attention Deficiency Using ML , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Jincy Lukose, Anita Ann Joseph, Meenakshy BR , Nevin Siby, Rosaine P Lal , ENHANCED PNEUMONIA DETECTION IN CHEST X-RAYS USING ATTENTION AND FNMS , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Amal P Varghese, Simy Mary Kurian, Advancements in ECG Heartbeat Classification: A Comprehensive Review of Deep Learning Approaches and Imbalanced Data Solutions , International Journal on Emerging Research Areas: Vol. 3 No. 2 (2023): IJERA
- Honey Joseph, Aaron Samuel Mathew, Adhil P, Alan Siby, Alwyn Joseph, Potato Leaf Disease Detection Using VIT , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Mekha Jose, Jocelyn Anthony, Jose V Joseph, Joshwa Thomas, Sharon Baby Thomas, A Review of Machine Learning and Deep Learning Approaches for Offensive Text Detection , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Jefrin Siby Mathew, Joyal Joseph, Roshik George, Tinu Rose Thottungal , Honey Joseph, Multiple Disease Detection using Machine Learning , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Khalid Hareef, Neenu, M N Sulthana , Nesmi Siddique, Number Plate Detection in Fog and Haze , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Febin Cheriyan, Deni Tom Jacob, Joanna Daniel, Haby S Mathews, Honey Joseph, Pneumonia Detection From Chest X-Rays Using Deep Learning : A Comprehensive Review , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Emmanuel J Jose, Fidha Fathima N S, Gautham Babu, Liya Latheef, Shanthi N.M, AUDIONYX: REAL-TIME DETECTION OF AUDIO DEEPFAKES IN PHONE CALLS , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
You may also start an advanced similarity search for this article.
