Exploiting Script Similarities to Compensate for the Large Amount of Data in Training Tesseract LSTM: Towards Kurdish OCR

Applications based on Long-Short-Term Memory (LSTM) require large amounts of data for their training. Tesseract LSTM is a popular Optical Character Recognition (OCR) engine that has been trained and used in various languages. However, its training becomes obstructed when the target language is not r...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Saman Idrees, Hossein Hassani
Format:	Article
Language:	English
Published:	MDPI AG 2021-10-01
Subjects:	optical character recognition tesseract printed-document OCR Kurdish-OCR system offline character recognition system
Online Access:	https://www.mdpi.com/2076-3417/11/20/9752