Skip to main content
SpringerLink
Log in

Document Analysis and Recognition – ICDAR 2021 Workshops

Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part II

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Elisa H. Barney Smith

    1. Boise State University, Boise, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Umapada Pal

    1. Indian Statistical Institute, Kolkata, India

    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 12917)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: ICDAR 2021.

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

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • 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

Table of contents (38 papers)

  1. Front Matter

    Pages i-xx
    Download chapter PDF

  2. ICDAR 2021 Workshop on Machine Learning (WML)

    1. Front Matter

      Pages 1-5
      Download chapter PDF

    2. Benchmarking of Shallow Learning and Deep Learning Techniques with Transfer Learning for Neurodegenerative Disease Assessment Through Handwriting

      • Vincenzo Dentamaro, Paolo Giglio, Donato Impedovo, Giuseppe Pirlo
      Pages 7-20

    3. Robust End-to-End Offline Chinese Handwriting Text Page Spotter with Text Kernel

      • Zhihao Wang, Yanwei Yu, Yibo Wang, Haixu Long, Fazheng Wang
      Pages 21-35

    4. Data Augmentation vs. PyraD-DCNN: A Fast, Light, and Shift Invariant FCNN for Text Recognition

      • Ahmad-Montaser Awal, Timothée Neitthoffer, Nabil Ghanmi
      Pages 36-50

    5. A Handwritten Text Detection Model Based on Cascade Feature Fusion Network Improved by FCOS

      • Ruiqi Feng, Fujia Zhao, Shanxiong Chen, Shixue Zhang, Dingwang Wang
      Pages 51-65

    6. Table Structure Recognition Using CoDec Encoder-Decoder

      • Bhanupriya Pegu, Maneet Singh, Aakash Agarwal, Aniruddha Mitra, Karamjit Singh
      Pages 66-80

    7. Advertisement Extraction Using Deep Learning

      • Boraq Madi, Reem Alaasam, Ahmad Droby, Jihad El-Sana
      Pages 81-97

    8. Detection and Localisation of Struck-Out-Strokes in Handwritten Manuscripts

      • Arnab Poddar, Akash Chakraborty, Jayanta Mukhopadhyay, Prabir Kumar Biswas
      Pages 98-112

    9. Temporal Classification Constraint for Improving Handwritten Mathematical Expression Recognition

      • Cuong Tuan Nguyen, Hung Tuan Nguyen, Kei Morizumi, Masaki Nakagawa
      Pages 113-125

    10. Using Robust Regression to Find Font Usage Trends

      • Kaigen Tsuji, Seiichi Uchida, Brian Kenji Iwana
      Pages 126-141

    11. Binarization Strategy Using Multiple Convolutional Autoencoder Network for Old Sundanese Manuscript Images

      • Erick Paulus, Jean-Christophe Burie, Fons J. Verbeek
      Pages 142-157

    12. A Connected Component-Based Deep Learning Model for Multi-type Struck-Out Component Classification

      • Palaiahnakote Shivakumara, Tanmay Jain, Nitish Surana, Umapada Pal, Tong Lu, Michael Blumenstein et al.
      Pages 158-173

    13. Contextualized Knowledge Base Sense Embeddings in Word Sense Disambiguation

      • Mozhgan Saeidi, Evangelos Milios, Norbert Zeh
      Pages 174-186

  3. ICDAR 2021 Workshop on Open Services and Tools for Document Analysis (OST)

    1. Front Matter

      Pages 187-189
      Download chapter PDF

    2. Automatic Generation of Semi-structured Documents

      • Djedjiga Belhadj, Yolande Belaïd, Abdel Belaïd
      Pages 191-205

    3. DocVisor: A Multi-purpose Web-Based Interactive Visualizer for Document Image Analytics

      • Khadiravana Belagavi, Pranav Tadimeti, Ravi Kiran Sarvadevabhatla
      Pages 206-219

  4. ICDAR 2021 Workshop on Industrial Applications of Document Analysis and Recognition (WIADAR)

    1. Front Matter

      Pages 221-223
      Download chapter PDF

    2. Object Detection Based Handwriting Localization

      • Yuli Wu, Yucheng Hu, Suting Miao
      Pages 225-239

    3. Toward an Incremental Classification Process of Document Stream Using a Cascade of Systems

      • Joris Voerman, Ibrahim Souleiman Mahamoud, Aurélie Joseph, Mickael Coustaty, Vincent Poulain d’Andecy, Jean-Marc Ogier
      Pages 240-254
Back to top

Other volumes

  1. Document Analysis and Recognition – ICDAR 2021

  2. Document Analysis and Recognition – ICDAR 2021

  3. Document Analysis and Recognition – ICDAR 2021

  4. Document Analysis and Recognition – ICDAR 2021

  5. Document Analysis and Recognition – ICDAR 2021 Workshops

  6. Document Analysis and Recognition – ICDAR 2021 Workshops

Keywords

About this book

This book constitutes the proceedings of the international workshops co-located with the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland, in September 2021.The total of 59 full and 12 short papers presented in this book were carefully selected from 96 submissions and divided into two volumes. Part II contains 30 full and 8 short papers that stem from the following meetings: Workshop on Machine Learning (WML); Workshop on Open Services and Tools for Document Analysis (OST); Workshop on Industrial Applications of Document Analysis and Recognition (WIADAR); Workshop on Computational Paleography (IWCP); Workshop on Document Images and Language (DIL); Workshop on Graph Representation Learning for Scanned Document Analysis (GLESDO).

Editors and Affiliations

  • Boise State University, Boise, USA

    Elisa H. Barney Smith

  • Indian Statistical Institute, Kolkata, India

    Umapada Pal

Bibliographic Information

Publish with us

Policies and ethics

Societies and partnerships

Back to top

Search

Navigation