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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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Dataset for Paper: A System for Processing and Recognition of Greek Byzantine and Post-Byzantine Documents

Authors: Kaddas Panagiotis; Gatos Basilis; Palaiologos Konstantinos; Katsouros Vassilis; Christopoulou Katerina;

Dataset for Paper: A System for Processing and Recognition of Greek Byzantine and Post-Byzantine Documents

Abstract

Dataset for the paper: "A System for Processing and Recognition of Greek Byzantine and Post-Byzantine Documents", P. Kaddas, K. Palaiologos, B. Gatos, V. Katsouros, K. Christopoulou, 17th International Conference on Document Analysis and Recognition (ICDAR), San Jose, California, USA The dataset consists of 57 pages from the third edition of the Greek New Testament published by Robert Estienne (1503–1559), who was appointed “Royal Typographer” by the King of France François I (1494–1547). Robert Estienne produced this edition in 1550 using the grecs du roi typeface, produced by Claude Garamont on the basis of the Greek minuscule style of the calligrapher Angelos Vergikios (1505–1569) from Crete, who active copying Greek manuscripts in Venice and France. The dataset consists of 2045 cropped text line images in .png format with their corresponding OCR in .txt format, where 1431 used for training, 204 for validation and 410 for test. Initial images acquired from: https://bibles-online.net/flippingbook/1550/

This research has been partially co-financed by the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call "RESEARCH-CREATE-INNOVATE", project Culdile (Cultural Dimensions of Deep Learning, project code: Τ1ΕΔΚ-03785) and the Operational Program Attica 2014-2020, under the call "RESEARCH AND INNOVATION PARTNERSHIPS IN THE REGION OF ATTICA", project reBook (Digital platform for re-publishing Historical Greek Books, project code: ΑΤΤΡ4-0331172).

Keywords

Deep Neural Networks, Greek Byzantine and Post-Byzantine Documents, Document Analysis System, Text Line Recognition, Calamari-OCR

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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