Skip to main content
  • Conference proceedings
  • © 2014

Camera-Based Document Analysis and Recognition

5th International Workshop, CBDAR 2013, Washington, DC, USA, August 23, 2013, Revised Selected Papers

  • Fast track conference proceedings
  • Unique visibility
  • State of the art research
  • Includes supplementary material: sn.pub/extras

Conference proceedings info: CBDAR 2013.

Buy it now

Buying options

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

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

Table of contents (14 papers)

  1. Front Matter

    Pages I-VIII
  2. Text Detection and Recognition in Scene Images

    1. Front Matter

      Pages 1-1
    2. Spatially Prioritized and Persistent Text Detection and Decoding

      • Hsueh-Cheng Wang, Yafim Landa, Maurice Fallon, Seth Teller
      Pages 3-17
    3. A Hierarchical Visual Saliency Model for Character Detection in Natural Scenes

      • Renwu Gao, Faisal Shafait, Seiichi Uchida, Yaokai Feng
      Pages 18-29
    4. A Robust Approach to Extraction of Texts from Camera Captured Images

      • Sudipto Banerjee, Koustav Mullick, Ujjwal Bhattacharya
      Pages 30-46
    5. Accuracy Improvement of Viewpoint-Free Scene Character Recognition by Rotation Angle Estimation

      • Kanta Kuramoto, Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimura
      Pages 60-70
    6. Font Distribution Observation by Network-Based Analysis

      • Chihiro Nakamoto, Rong Huang, Sota Koizumi, Ryosuke Ishida, Yaokai Feng, Seiichi Uchida
      Pages 83-97
  3. Camera-Based Systems

    1. Front Matter

      Pages 99-99
    2. Dewarping Book Page Spreads Captured with a Mobile Phone Camera

      • Chelhwon Kim, Patrick Chiu, Surendar Chandra
      Pages 101-112
    3. A Dataset for Quality Assessment of Camera Captured Document Images

      • Jayant Kumar, Peng Ye, David Doermann
      Pages 113-125
    4. A Morphology-Based Border Noise Removal Method for Camera-Captured Label Images

      • Mengyang Liu, Chongshou Li, Wenbin Zhu, Andrew Lim
      Pages 126-138
    5. Robust Binarization of Stereo and Monocular Document Images Using Percentile Filter

      • Muhammad Zeshan Afzal, Martin Krämer, Syed Saqib Bukhari, Mohammad Reza Yousefi, Faisal Shafait, Thomas M. Breuel
      Pages 139-149
    6. Hyperspectral Document Imaging: Challenges and Perspectives

      • Zohaib Khan, Faisal Shafait, Ajmal Mian
      Pages 150-163
    7. Mobile Phone Camera-Based Video Scanning of Paper Documents

      • Muhammad Muzzamil Luqman, Petra Gomez-Krämer, Jean-Marc Ogier
      Pages 164-178
  4. Back Matter

    Pages 187-187

Other Volumes

  1. Camera-Based Document Analysis and Recognition

About this book

This book constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2013, held in Washington, DC, USA, in August 2013. The 14 revised full papers presented were carefully selected during two rounds of reviewing and improvement from numerous original submissions. Intended to give a snapshot of the state-of-the-art research in the field of camera based document analysis and recognition, the papers are organized in topical sections on text detection and recognition in scene images and camera-based systems.

Editors and Affiliations

  • Graudate School of Engineering, Osaka Prefecture University, Osaka, Japan

    Masakazu Iwamura

  • The University of Western Australia, Crawley, Australia

    Faisal Shafait

Bibliographic Information

Buy it now

Buying options

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