Abstract
Image captioning on images taken by visually impaired people is a area of study that focus to develop computer systems that are able to generate descriptive text for pictures captured by visually impaired individuals. This field of study focuses on image captioning on images taken by visually impaired people. The purpose of this technology is to provide guidance to people who are visually impaired and may require assistance in comprehending the visual content of a picture. Image captioning on photographs captured by visually impaired individuals calls for the application of sophisticated computer natural language processing techniques. These methods involve conducting an analysis of the visual aspects of a picture, such as the objects, colors, and textures that are present, and then using this information to generate a description in natural language that communicates the pertinent information to a user who is visually impaired. A significant move towards increasing accessibility and inclusiveness for people with disabilities is the development of image captioning systems for the images taken by visually impaired people. This is an essential stage in the process. Visually impaired people may benefit from these systems by gaining a greater understanding of their surroundings, being able to navigate their environment more effectively, and having more interaction with the visual world.
Keywords
Caption generation, Image classification, text generation.
Citations
IRE Journals:
Fahri Kumar
"Caption Generation on Images Taken by Visually Impaired People" Iconic Research And Engineering Journals Volume 8 Issue 1 2024 Page 322-327
IEEE:
Fahri Kumar
"Caption Generation on Images Taken by Visually Impaired People" Iconic Research And Engineering Journals, 8(1)
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IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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