A deep learning approach for line-level Amharic Braille image recognition

Abstract Braille, the most popular tactile-based writing system, uses patterns of raised dots arranged in cells to inscribe characters for visually impaired persons. Amharic is Ethiopia’s official working language, spoken by more than 100 million people. To bridge the written communication gap betwe...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Nega Agmas Asfaw, Birhanu Hailu Belay, Kassawmar Mandefro Alemu
Format:	Article
Language:	English
Published:	Nature Portfolio 2024-10-01
Subjects:	End-to-end training Optical Braille Character Recognition Amharic braille character recognition Sequence-to-sequence learning Biderectional LSTM
Online Access:	https://doi.org/10.1038/s41598-024-73895-7