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Document Analysis and Recognition – ICDAR 2021

16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part IV

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Josep Lladós

    1. Universitat Autònoma de Barcelona, Barcelona, Spain

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  2. Daniel Lopresti

    1. Lehigh University, Bethlehem, USA

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  3. Seiichi Uchida

    1. Kyushu University, Fukuoka-shi, Japan

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12824)

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.

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Table of contents (52 papers)

  1. Front Matter

    Pages i-xx
    Download chapter PDF

  2. Scene Text Detection and Recognition

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. HRRegionNet: Chinese Character Segmentation in Historical Documents with Regional Awareness

      • Chia-Wei Tang, Chao-Lin Liu, Po-Sen Chiu
      Pages 3-17

    3. Fast Text vs. Non-text Classification of Images

      • Jiri Kralicek, Jiri Matas
      Pages 18-32

    4. Mask Scene Text Recognizer

      • Haodong Shi, Liangrui Peng, Ruijie Yan, Gang Yao, Shuman Han, Shengjin Wang
      Pages 33-48

    5. Rotated Box Is Back: An Accurate Box Proposal Network for Scene Text Detection

      • Jusung Lee, Jaemyung Lee, Cheoljong Yang, Younghyun Lee, Joonsoo Lee
      Pages 49-63

    6. Heterogeneous Network Based Semi-supervised Learning for Scene Text Recognition

      • Qianyi Jiang, Qi Song, Nan Li, Rui Zhang, Xiaolin Wei
      Pages 64-78

    7. Scene Text Detection with Scribble Line

      • Wenqing Zhang, Yang Qiu, Minghui Liao, Rui Zhang, Xiaolin Wei, Xiang Bai
      Pages 79-94

    8. EEM: An End-to-end Evaluation Metric for Scene Text Detection and Recognition

      • Jiedong Hao, Yafei Wen, Jie Deng, Jun Gan, Shuai Ren, Hui Tan et al.
      Pages 95-108

    9. SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Models

      • Moonbin Yim, Yoonsik Kim, Han-Cheol Cho, Sungrae Park
      Pages 109-124

    10. Fast Recognition for Multidirectional and Multi-type License Plates with 2D Spatial Attention

      • Qi Liu, Song-Lu Chen, Zhen-Jia Li, Chun Yang, Feng Chen, Xu-Cheng Yin
      Pages 125-139

    11. A Multi-level Progressive Rectification Mechanism for Irregular Scene Text Recognition

      • Qianying Liao, Qingxiang Lin, Lianwen Jin, Canjie Luo, Jiaxin Zhang, Dezhi Peng et al.
      Pages 140-155

    12. Representation and Correlation Enhanced Encoder-Decoder Framework for Scene Text Recognition

      • Mengmeng Cui, Wei Wang, Jinjin Zhang, Liang Wang
      Pages 156-170

    13. FEDS - Filtered Edit Distance Surrogate

      • Yash Patel, Jiří Matas
      Pages 171-186

    14. Bidirectional Regression for Arbitrary-Shaped Text Detection

      • Tao Sheng, Zhouhui Lian
      Pages 187-201

  3. Document Classification

    1. Front Matter

      Pages 203-203
      Download chapter PDF

    2. VML-HP: Hebrew Paleography Dataset

      • Ahmad Droby, Berat Kurar Barakat, Daria Vasyutinsky Shapira, Irina Rabaev, Jihad El-Sana
      Pages 205-220

    3. Open Set Authorship Attribution Toward Demystifying Victorian Periodicals

      • Sarkhan Badirli, Mary Borgo Ton, Abdulmecit Gungor, Murat Dundar
      Pages 221-235

    4. A More Effective Sentence-Wise Text Segmentation Approach Using BERT

      • Amit Maraj, Miguel Vargas Martin, Masoud Makrehchi
      Pages 236-250

    5. Data Augmentation for Writer Identification Using a Cognitive Inspired Model

      • Fabio Pignelli, Yandre M. G. Costa, Luiz S. Oliveira, Diego Bertolini
      Pages 251-266
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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 four-volume set of LNCS 12821, LNCS 12822, LNCS 12823 and LNCS 12824, constitutes the refereed proceedings of the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland in September 2021. The 182 full papers were carefully reviewed and selected from 340 submissions, and are presented with 13 competition reports.

The papers are organized into the following topical sections: scene text detection and recognition, document classification, gold-standard benchmarks and data sets, historical document analysis, and handwriting recognition. In addition, the volume contains results of 13 scientific competitions held during ICDAR 2021.

Editors and Affiliations

  • Universitat Autònoma de Barcelona, Barcelona, Spain

    Josep Lladós

  • Lehigh University, Bethlehem, USA

    Daniel Lopresti

  • Kyushu University, Fukuoka-shi, Japan

    Seiichi Uchida

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