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Large-scale optical character recognition of ancient Greek
B Robertson, F Boschetti - Mouseion, 2017 - utppublishing.com
This paper documents our campaign to undertake the large-scale optical character
recognition of ancient, or polytonic, Greek. Building upon the Gamera OCR engine and …
recognition of ancient, or polytonic, Greek. Building upon the Gamera OCR engine and …
How well does multiple OCR error correction generalize?
As the digitization of historical documents, such as newspapers, becomes more common,
the need of the archive patron for accurate digital text from those documents increases …
the need of the archive patron for accurate digital text from those documents increases …
Retrieving and combining repeated passages to improve OCR
We present a novel approach to improve the output of optical character recognition (OCR)
systems by first detecting duplicate passages in their output and then performing consensus …
systems by first detecting duplicate passages in their output and then performing consensus …
Local binary pattern variants-based adaptive texture features analysis for posed and nonposed facial expression recognition
Facial expression recognition (FER) is an important task for various computer vision
applications. The task becomes challenging when it requires the detection and encoding of …
applications. The task becomes challenging when it requires the detection and encoding of …
Selection technique for multiple outputs of optical character recognition
The approach of OCR multiple outputs is used to improve accuracy for low scanning
resolution images. The idea of this approach is to incorporate information from multiple …
resolution images. The idea of this approach is to incorporate information from multiple …
Enhanced ensemble technique for optical character recognition
Optical character recognition (OCR) is the electronic transformation of images into a
computer-encoded text. OCR systems often produce poor accuracy for noisy images …
computer-encoded text. OCR systems often produce poor accuracy for noisy images …
[BOOK][B] Ensemble Methods for Historical Machine-Printed Document Recognition
WB Lund - 2014 - search.proquest.com
The usefulness of digitized documents is directly related to the quality of the extracted text.
Optical Character Recognition (OCR) has reached a point where well-formatted and clean …
Optical Character Recognition (OCR) has reached a point where well-formatted and clean …
[PDF][PDF] Copisti digitali e filologi computazionali
F Boschetti - Roma: CNR Edizioni, 2018 - academia.edu
Copisti Digitali e Filologi Computazionali Federico Boschetti Roma 2018 Page 1 Copisti Digitali
e Filologi Computazionali Federico Boschetti Roma 2018 Istituto di Linguistica Computazionale …
e Filologi Computazionali Federico Boschetti Roma 2018 Istituto di Linguistica Computazionale …
[PDF][PDF] Multiple Outputs TechniquesEvaluation for Arabic Character Recognition
ZQ Al-Zaydi, H Salam - language, 2015 - academia.edu
Different OCR systems generate multiple outputs for same input image. The difference
between several outputs of OCR is used to select the best features from them. Multiple …
between several outputs of OCR is used to select the best features from them. Multiple …
Application of optical character recognition with Tesseract in logistics management
SA Berg, SY Seo, RHY So - International Journal of Internet …, 2019 - inderscienceonline.com
Warehouse and inventory management poses many challenges, for example in carton
handling when upstream suppliers use labelling systems that are incompatible with a …
handling when upstream suppliers use labelling systems that are incompatible with a …