Document Analysis and Recognition - ICDAR 2024: 18th International Conference, Athens, Greece, August 30 – September 4, 2024, Proceedings, Part III | SpringerLink
Skip to main content
Springer Nature Link
Log in

Document Analysis and Recognition - ICDAR 2024

18th International Conference, Athens, Greece, August 30 – September 4, 2024, Proceedings, Part III

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Elisa H. Barney Smith

    1. Luleå Tekniska Universitet, Luleå, Sweden

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Marcus Liwicki

    1. Luleå Tekniska Universitet, Luleå, Sweden

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Liangrui Peng

    1. Tsinghua University, Beijing, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14806)

Included in the following conference series:

Conference proceedings info: ICDAR 2024.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook JPY 8465
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book JPY 10581
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

This six-volume set LNCS 14804-14809 constitutes the proceedings of the 18th International Conference on Document Analysis and Recognition, ICDAR 2024, held in Athens, Greece, during August 30–September 4, 2024.
The total of 144 full papers presented in these proceedings were carefully selected from 263 submissions.
The papers reflect topics such as: document image processing; physical and logical layout analysis; text and symbol recognition; handwriting recognition; document analysis systems; document classification; indexing and retrieval of documents; document synthesis; extracting document semantics; NLP for document understanding; office automation; graphics recognition; human document interaction; document representation modeling and much more.

 

Keywords

Table of contents (23 papers)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Historical Document Analysis

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Binarizing Documents by Leveraging both Space and Frequency

      • Fabio Quattrini, Vittorio Pippi, Silvia Cascianelli, Rita Cucchiara
      Pages 3-22

    3. A Historical Handwritten Dataset for Ethiopic OCR with Baseline Models and Human-Level Performance

      • Birhanu Hailu Belay, Isabelle Guyon, Tadele Mengiste, Bezawork Tilahun, Marcus Liwicki, Tesfa Tegegne et al.
      Pages 23-38

    4. Drawing the Line: Deep Segmentation for Extracting Art from Ancient Etruscan Mirrors

      • Rafael Sterzinger, Simon Brenner, Robert Sablatnig
      Pages 39-56

    5. The Socface Project: Large-Scale Collection, Processing, and Analysis of a Century of French Censuses

      • Mélodie Boillet, Solène Tarride, Yoann Schneider, Bastien Abadie, Lionel Kesztenbaum, Christopher Kermorvant
      Pages 57-73

    6. Enhancing Recognition of Historical Musical Pieces with Synthetic and Composed Images

      • Manuel Villarreal, Joan Andreu Sánchez
      Pages 74-90

    7. On Image Processing and Pattern Recognition for Thermograms of Watermarks in Manuscripts – A First Proof-of-Concept

      • Dominik Hauser, Matthias Beckmann, Günther Koliander, H. Siegfried Stiehl
      Pages 91-107

    8. Historical Astronomical Diagrams Decomposition in Geometric Primitives

      • Syrine Kalleli, Scott Trigg, Ségolène Albouy, Matthieu Husson, Mathieu Aubry
      Pages 108-125

    9. HistNERo: Historical Named Entity Recognition for the Romanian Language

      • Andrei-Marius Avram, Andreea Iuga, George-Vlad Manolache, Vlad-Cristian Matei, Răzvan-Gabriel Micliuş, Vlad-Andrei Muntean et al.
      Pages 126-144

    10. Recognition and Link Prediction of Onomatopoeia Texts with Arbitrary Shapes

      • Jingtao Ma, Hongxi Wei, Yiming Wang
      Pages 145-158

    11. Oracle Bone Inscriptions Image Retrieval Based on Metric Learning

      • Jun Ding, Jiaoyan Wang, Alimjan Aysa, Xuebin Xu, Kurban Ubul
      Pages 159-173

    12. CATMuS Medieval: A Multilingual Large-Scale Cross-Century Dataset in Latin Script for Handwritten Text Recognition and Beyond

      • Thibault Clérice, Ariane Pinche, Malamatenia Vlachou-Efstathiou, Alix Chagué, Jean-Baptiste Camps, Matthias Gille Levenson et al.
      Pages 174-194

    13. End-to-End Information Extraction in Handwritten Documents: Understanding Paris Marriage Records from 1880 to 1940

      • Thomas Constum, Lucas Preel, Théo Larcher, Thierry Paquet, Pierrick Tranouez, Sandra Bree
      Pages 195-214

    14. Text Line Segmentation on Ancient Egyptian Papyri: Layout Analysis with Object Detection Networks and Connected Components

      • Stephan M. Unter
      Pages 215-232

    15. Fully Automatic Virtual Unwrapping Method for Documents Imaged by X-Ray Tomography

      • Petr Kulagin, Dmitry Polevoy, Marina Chukalina, Dmitry Nikolaev, Vladimir V. Arlazarov
      Pages 233-250

    16. Historical Printed Ornaments: Dataset and Tasks

      • Sayan Kumar Chaki, Zeynep Sonat Baltaci, Elliot Vincent, Remi Emonet, Fabienne Vial-Bonacci, Christelle Bahier-Porte et al.
      Pages 251-270

    17. Zipf Curves and Basic Text Analytics from Untranscribed Manuscript Images

      • Enrique Vidal, Alejandro H. Toselli
      Pages 271-288

    18. DELINE8K: A Synthetic Data Pipeline for the Semantic Segmentation of Historical Documents

      • Taylor Archibald, Tony Martinez
      Pages 289-304

    19. Self-training and Active Learning with Pseudo-relevance Feedback for Handwriting Detection in Historical Print

      • Jacob Murel, David Smith
      Pages 305-324
Back to top

Other volumes

  1. Document Analysis and Recognition - ICDAR 2024

  2. Document Analysis and Recognition - ICDAR 2024

  3. Document Analysis and Recognition - ICDAR 2024

  4. Document Analysis and Recognition - ICDAR 2024

  5. Document Analysis and Recognition - ICDAR 2024

  6. Document Analysis and Recognition - ICDAR 2024

  7. Document Analysis and Recognition – ICDAR 2024 Workshops

  8. Document Analysis and Recognition – ICDAR 2024 Workshops

Editors and Affiliations

  • Luleå Tekniska Universitet, Luleå, Sweden

    Elisa H. Barney Smith, Marcus Liwicki

  • Tsinghua University, Beijing, China

    Liangrui Peng

Bibliographic Information

Publish with us

Policies and ethics

Societies and partnerships

Back to top

Search

Navigation