research-article

Accessing the content of Greek historical documents

Authors:

Anastasios Kesidis,

Eleni Galiotou,

Aristomenis Lampropoulos,

Ioannis Pratikakis,

Ioanna Manolessou,

Angela RalliAuthors Info & Claims

AND '09: Proceedings of The Third Workshop on Analytics for Noisy Unstructured Text Data

Pages 55 - 62

https://doi.org/10.1145/1568296.1568307

Published: 23 July 2009 Publication History

Abstract

In this paper, we propose an alternative method for accessing the content of Greek historical documents printed during the 17th and 18th centuries by searching words directly in digitized documents based on word spotting, without the use of an optical character recognition engine. We describe a methodology according to which synthetic word images are created from keywords. These images are compared to all the words in the digitized documents while user feedback is used in order to refine the search procedure. In order to improve the efficiency of accessing and searching, we have used natural language processing techniques that comprise (i) a morphological generator for early Modern Greek which provides the users with the ability to search documents using only a word stem and locate all the corresponding inflected word forms and (ii) a synonym dictionary which facilitates access to the semantic context of documents and enriches the results of the search process.

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Cited By

Ahmed RAl-Khatib WMahmoud S(2016)A Survey on handwritten documents word spottingInternational Journal of Multimedia Information Retrieval10.1007/s13735-016-0110-y6:1(31-47)Online publication date: 15-Oct-2016
https://doi.org/10.1007/s13735-016-0110-y
Vidal EToselli APuigcerver J(2015)High performance Query-by-Example keyword spotting using Query-by-String techniquesProceedings of the 2015 13th International Conference on Document Analysis and Recognition (ICDAR)10.1109/ICDAR.2015.7333860(741-745)Online publication date: 23-Aug-2015
https://dl.acm.org/doi/10.1109/ICDAR.2015.7333860
Sfikas GGiotis ALouloudis GGatos B(2015)Using attributes for word spotting and recognition in polytonic greek documentsProceedings of the 2015 13th International Conference on Document Analysis and Recognition (ICDAR)10.1109/ICDAR.2015.7333849(686-690)Online publication date: 23-Aug-2015
https://dl.acm.org/doi/10.1109/ICDAR.2015.7333849
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Index Terms

Accessing the content of Greek historical documents

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cover image ACM Other conferences

AND '09: Proceedings of The Third Workshop on Analytics for Noisy Unstructured Text Data

July 2009

127 pages

ISBN:9781605584966

DOI:10.1145/1568296

Program Chairs:
Daniel Lopresti
Lehigh University
,
Shourya Roy
Xerox India Innovation Hub
,
Klaus Schulz
University of Munich
,
L. Venkata Subramaniam
IBM India Research Lab

Copyright © 2009 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 July 2009

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AND '09

AND '09: Third Workshop on Analytics for Noisy Unstructured Text Data

July 23 - 24, 2009

Barcelona, Spain

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AND '09 Paper Acceptance Rate 15 of 22 submissions, 68%;

Overall Acceptance Rate 15 of 22 submissions, 68%

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Cited By

Ahmed RAl-Khatib WMahmoud S(2016)A Survey on handwritten documents word spottingInternational Journal of Multimedia Information Retrieval10.1007/s13735-016-0110-y6:1(31-47)Online publication date: 15-Oct-2016
https://doi.org/10.1007/s13735-016-0110-y
Vidal EToselli APuigcerver J(2015)High performance Query-by-Example keyword spotting using Query-by-String techniquesProceedings of the 2015 13th International Conference on Document Analysis and Recognition (ICDAR)10.1109/ICDAR.2015.7333860(741-745)Online publication date: 23-Aug-2015
https://dl.acm.org/doi/10.1109/ICDAR.2015.7333860
Sfikas GGiotis ALouloudis GGatos B(2015)Using attributes for word spotting and recognition in polytonic greek documentsProceedings of the 2015 13th International Conference on Document Analysis and Recognition (ICDAR)10.1109/ICDAR.2015.7333849(686-690)Online publication date: 23-Aug-2015
https://dl.acm.org/doi/10.1109/ICDAR.2015.7333849
Galiotou E(2014)Using digital corpora for preserving and processing cultural heritage texts: a case studyLibrary Review10.1108/LR-11-2013-014263:6/7(408-421)Online publication date: 26-Aug-2014
https://doi.org/10.1108/LR-11-2013-0142
Kumar JDoermann D(2013)Unsupervised Classification of Structurally Similar Document ImagesProceedings of the 2013 12th International Conference on Document Analysis and Recognition10.1109/ICDAR.2013.248(1225-1229)Online publication date: 25-Aug-2013
https://dl.acm.org/doi/10.1109/ICDAR.2013.248
Kesidis AGatos B(2011)Efficient Cut-Off Threshold Estimation for Word Spotting ApplicationsProceedings of the 2011 International Conference on Document Analysis and Recognition10.1109/ICDAR.2011.64(279-283)Online publication date: 18-Sep-2011
https://dl.acm.org/doi/10.1109/ICDAR.2011.64
Sokratis VKavallieratou E(2011)A Tool for Tuning Binarization TechniquesProceedings of the 2011 International Conference on Document Analysis and Recognition10.1109/ICDAR.2011.10(1-5)Online publication date: 18-Sep-2011
https://dl.acm.org/doi/10.1109/ICDAR.2011.10
Marinai SMiotti BSoda G(2011)Digital Libraries and Document Image Retrieval Techniques: A SurveyLearning Structure and Schemas from Documents10.1007/978-3-642-22913-8_9(181-204)Online publication date: 2011
https://doi.org/10.1007/978-3-642-22913-8_9

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