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A Segmentation-Free Recognition Technique to Assist Old Greek Handwritten Manuscript OCR

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Document Analysis Systems VI (DAS 2004)
A Segmentation-Free Recognition Technique to Assist Old Greek Handwritten Manuscript OCR
  • Basilios Gatos18,
  • Kostas Ntzios18,19,
  • Ioannis Pratikakis18,
  • Sergios Petridis18,
  • T. Konidaris18 &
  • …
  • Stavros J. Perantonis18 

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3163))

Included in the following conference series:

  • International Workshop on Document Analysis Systems
  • 1496 Accesses

  • 5 Citations

Abstract

Recognition of old Greek manuscripts is essential for quick and efficient content exploitation of the valuable old Greek historical collections. In this paper, we focus on the problem of recognizing early Christian Greek manuscripts written in lower case letters. Based on the existence of hole regions in the majority of characters and character ligatures in these scripts, we propose a novel, segmentation-free, fast and efficient technique that assists the recognition procedure by tracing and recognizing the most frequently appearing characters or character ligatures. First, we detect hole regions that exist in the character body. Then, the protrusions in the outer contour outline of the connected components that contain the character hole regions are used for the classification of the area around holes to a specific character or a character ligature. The proposed method gives highly accurate results and offers great assistance to old Greek handwritten manuscript OCR.

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Author information

Authors and Affiliations

  1. Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Research Center “Demokritos”, 153 10, Athens, Greece

    Basilios Gatos, Kostas Ntzios, Ioannis Pratikakis, Sergios Petridis, T. Konidaris & Stavros J. Perantonis

  2. Department of Informatics & Telecommunications, National & Kapodistrian University of Athens, Athens, Greece

    Kostas Ntzios

Authors
  1. Basilios Gatos
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  2. Kostas Ntzios
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  3. Ioannis Pratikakis
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  4. Sergios Petridis
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  5. T. Konidaris
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  6. Stavros J. Perantonis
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Editor information

Editors and Affiliations

  1. Dipartimento di Sistemi e Informatica, Università di Firenze, Via di Santa Marta 3, 50139, Firenze, Italy

    Simone Marinai

  2. Knowledge Management Department, German Research Center for Artificial Intelligence (DFKI) GmbH, Kaiserslautern, Germany

    Andreas R. Dengel

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© 2004 Springer-Verlag Berlin Heidelberg

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Gatos, B., Ntzios, K., Pratikakis, I., Petridis, S., Konidaris, T., Perantonis, S.J. (2004). A Segmentation-Free Recognition Technique to Assist Old Greek Handwritten Manuscript OCR. In: Marinai, S., Dengel, A.R. (eds) Document Analysis Systems VI. DAS 2004. Lecture Notes in Computer Science, vol 3163. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28640-0_7

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  • DOI: https://doi.org/10.1007/978-3-540-28640-0_7

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  • Print ISBN: 978-3-540-23060-1

  • Online ISBN: 978-3-540-28640-0

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Keywords

  • Lower Case Letter
  • Feature Extraction Algorithm
  • Hole Region
  • Handwritten Character
  • Horizontal Mode

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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