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
- Adams Mathew, Adithya Sanil, Akhil J Medackal, Nikhil J Medackal, Dyni Thomas, A Literature Review on IMAGE FORGERY DETECTION , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Amina Manaf , Ance Maria Joseph , Angel Joy , Anjaly Anilkumar , K S Rekha, Driver Drowsiness Detection Using Python , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Minu Cherian, Sivakami Sudesh, Sivani M Kumar, Sneha J Kannan, Sneha Rose Vinod, A Review Based On Deep Learning Techniques Of Ovarian Cancer Detection , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Dr. Indu John, A Adithya, Alwin Rajan, Amal Biso George, Farhaan M Hussain, HEALTH GUARD-A Multiple Disease Prediction Model Based on Machine learning , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Joel Judish, Samrudh Salas, Farhaan Zuhair, Muhammed Zakkariya M, Juby Mathew, SkinGuard: An EfficientNet Model for Skin Cancer and M-pox Detection , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Aleena Joseph, Diya Paramesh G, Elza Mary Thomas, Gayathri V, Anu V Kottath, A Review on Comparison of VGG-16 and DenseNet algorithms for analysing brain tumor in MRI image , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Nandana L P, Nanda Santhosh, Nupa Babu, Neha Biju, Shiney Thomas, Alumni Connect: A Conceptual Approach of Alumni Network Management with Integrated Web-based System , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Evelyn Susan Jacob, Joel John, Raynell Rajeev, Steve Alex , Syam Gopi , Malware Classification using Image Analysis , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Parvathy S Kurup, Pranav P Nair, Sai Kishor, Aryan S Nair, Pranav P, Face Image Synthesis , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Ryan Leo , Mathews P Jose, Eirene Nikky , Lloyd Micheal, Chinnu Edwin A , Controlling a Mini Game using a Brain-Computer Interface , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
You may also start an advanced similarity search for this article.
