Camera-Based Document Analysis and Recognition

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

  • Masakazu Iwamura
  • Faisal Shafait
Conference proceedings CBDAR 2013

DOI: 10.1007/978-3-319-05167-3

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8357)

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. Hsueh-Cheng Wang, Yafim Landa, Maurice Fallon, Seth Teller
      Pages 3-17
    3. Renwu Gao, Faisal Shafait, Seiichi Uchida, Yaokai Feng
      Pages 18-29
    4. Sudipto Banerjee, Koustav Mullick, Ujjwal Bhattacharya
      Pages 30-46
    5. Kanta Kuramoto, Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimura
      Pages 60-70
    6. 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. Chelhwon Kim, Patrick Chiu, Surendar Chandra
      Pages 101-112
    3. Jayant Kumar, Peng Ye, David Doermann
      Pages 113-125
    4. Mengyang Liu, Chongshou Li, Wenbin Zhu, Andrew Lim
      Pages 126-138
    5. Muhammad Zeshan Afzal, Martin Krämer, Syed Saqib Bukhari, Mohammad Reza Yousefi, Faisal Shafait, Thomas M. Breuel
      Pages 139-149
    6. Zohaib Khan, Faisal Shafait, Ajmal Mian
      Pages 150-163
    7. Muhammad Muzzamil Luqman, Petra Gomez-Krämer, Jean-Marc Ogier
      Pages 164-178
  4. Back Matter
    Pages 187-187

About these proceedings

Introduction

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.

Keywords

book scanning document analysis network-based clustering optical character recognition text detection

Editors and affiliations

  • Masakazu Iwamura
    • 1
  • Faisal Shafait
    • 2
  1. 1.Graudate School of EngineeringOsaka Prefecture UniversityOsakaJapan
  2. 2.The University of Western AustraliaCrawleyAustralia

Bibliographic information

  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-05166-6
  • Online ISBN 978-3-319-05167-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349