Braille Character Recognition System: Review

Hasan, Rusul Hussein; Salman Aboud, Inaam; Majid Hassoo, Rasha

doi:10.33899/csmj.2023.143463.1082

	Braille Character Recognition System: Review
AL-Rafidain Journal of Computer Sciences and Mathematics
Volume 18, Issue 1, June 2024, Pages 30-39 PDF (370.03 K)
Document Type: Review Paper
DOI: 10.33899/csmj.2023.143463.1082
Authors
Rusul Hussein Hasan^* ¹; Inaam Salman Aboud²; Rasha Majid Hassoo¹
¹College of Law, University of Baghdad, Iraq
²College of Education, Al- Mustansiriya University, Iraq
Abstract
The Braille Recognition System is the process of capturing a Braille document image and turning its content into its equivalent natural language characters. The Braille Recognition System's cell transcription and Braille cell recognition are the two basic phases that follow one another. The Braille Recognition System is a technique for locating and recognizing a Braille document stored as an image, such as a jpeg, jpg, tiff, or gif image, and converting the text into a machine-readable format, such as a text file. BCR translates an image's pixel representation into its character representation. As workers at visually impaired schools and institutes, we profit from Braille recognition in a variety of ways. The Braille Recognition System contains many stages, including image acquisition, pre-processing of images, and character recognition. This review aims to examine the earlier studies on transcription and Braille cell recognition by other scholars and the comparative results and detection techniques among them. This review will look at previous work done by other researchers on Braille cell recognition and transcription, comparing previous works in this study, and will be useful and illuminating for Braille Recognition System researchers, especially newcomers.
Keywords
Braille Recognition System; Image acquisition; Image pre-processing; character recognition; Neural Network

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