Braille to Text Translation for Bengali Language: A Geometric Approach
Minhas Kamal, Amin Ahsan Ali, Muhammad Asif Hossain Khan, Mohammad, Shoyaib

TL;DR
This paper presents a new geometric image processing method for translating Bengali Braille images into text, achieving high accuracy despite challenges like image deterioration and deformation.
Contribution
It introduces a novel geometric approach for Bengali Braille translation that addresses common image issues, filling a gap in language-specific assistive tools.
Findings
97.25% recognition accuracy achieved
Effective handling of image deterioration and deformation
First Bengali Braille translation tool using geometric analysis
Abstract
Braille is the only system to visually impaired people for reading and writing. However, general people cannot read Braille. So, teachers and relatives find it hard to assist them with learning. Almost every major language has software solutions for this translation purpose. However, in Bengali there is an absence of this useful tool. Here, we propose Braille to Text Translator, which takes image of these tactile alphabets, and translates them to plain text. Image deterioration, scan-time page rotation, and braille dot deformation are the principal issues in this scheme. All of these challenges are directly checked using special image processing and geometric structure analysis. The technique yields 97.25% accuracy in recognizing Braille characters.
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Taxonomy
TopicsDigital Image Processing Techniques · Hand Gesture Recognition Systems · Handwritten Text Recognition Techniques
