Amharic OCR: An End-to-End Learning

Amharic OCR: An End-to-End Learning

In this paper, we introduce an end-to-end Amharic text-line image recognition approach based on recurrent neural networks. Amharic is an indigenous Ethiopic script which follows a unique syllabic writing system adopted from an ancient Geez script. This script uses 34 consonant characters with the se...

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Bibliographic Details
Main Authors: Birhanu Belay, Tewodros Habtegebrial, Million Meshesha, Marcus Liwicki, Gebeyehu Belay, Didier Stricker
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Applied Sciences
Subjects:
amharic script
cnn
ctc
end-to-end learning
lstm
ocr
pattern recognition
text-line image
Online Access:https://www.mdpi.com/2076-3417/10/3/1117

Internet

https://www.mdpi.com/2076-3417/10/3/1117

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