Image Descriptor For Visually Impaired
Abstract
An image descriptor is a system that generates a voice description of the context of an image. The initial step involves the generation of a textual description of the image. It entails analyzing an image with machine learning algorithms and producing a description of the image in natural language. The obtained captions are then converted to voice output. Systems for captioning images can be used for a variety of purposes, including assisting those who are visually impaired in comprehending what is being depicted in a picture or assisting search engines in comprehending picture content and enhancing search results. Building systems for captioning images can be done in a number of ways. One method entails employing a neural network to compress the image into a representation, followed by another neural network to decode the representation into a description in natural language.
Keywords:
Image captions, Visually Impaired, Deep LearningPublished
Issue
Section
License
Copyright (c) 2023 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
- Amith Bino, Don Peter Joseph, Sreehari P, Anchal J Vattakunnel, Revolutionizing Nutritional Management Through Food Scanning And Object Detection: A New Android Application For Adults , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Yamini C.K, Ajin krishna K U, Akhil Thilak, Amith Raj P R, Aromal A S, Alex joy, Jishnu Babu T, Jeswin jaison, VIDEO MOMENT RETRIEVAL SYSTEM , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Alan Binoy, Sajin Santy, Hashna Mansoor, Semin Shaji, Almaria Joseph , A Blind-Friendly Navigation System Integrating RFID Technology for Enhanced Accessibility in Public Transportation , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Raihana Rasaldeen, Stefi Marshal Fernandez, Irin Rose Jaison, Ria Mariam , A Comparative Study of AI Models and AI-Based Approaches for Evaluating Subjective Answers in Exams , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Shiney Thomas, Elsa George, Alphonsa Francis, Anna Job, Ann Maria James, Wildlife Detection And Recognition Using YOLO V8 , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Anna N Kurian, Amitha Anil, Andriya Raju, Ancita J Feriah, Aiswarya Lakshmi Navami, Deep Learning based Multimodal Brain MRI Tumor Classification as a Diagnostic Tool to Benefit Clinical Applications , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- 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
- George P Kurias, Gokul Krishna AU, Jifith Joseph, Sharunmon R, Linsa Mathew, A Review of Methodologies for Detecting Missing and Wanted People Using Machine Learning and Video Surveillance , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Nighila Ashok, Adithya Ajith, Aparna Shaju, Arjuna Chandran V V, Fahmi Fathima T S, DeepScan : A Deepfake Video Detection System , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Linsa Mathew, Jifith Joseph, George P Kurias, Gokul Krishna A U, Sharunmon R, TraceFusion: Precision AI for Missing and Wanted Person Detection , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
You may also start an advanced similarity search for this article.
