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Camera-Based Document Analysis and Recognition

4th International Workshop, CBDAR 2011, Beijing, China, September 22, 2011, Revised Selected Papers

  • Conference proceedings
  • © 2012

Overview

Editors:
  1. Masakazu Iwamura

    1. Graduate School of Engineering, Dept. of Computer Science and Intelligent Systems, Osaka Prefecture University, Osaka, Japan

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  2. Faisal Shafait

    1. German Research Center for Artificial Intelligence, Multimedia Analysis and Data Mining Competence Center, Kaiserslautern, Germany

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7139)

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

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Conference proceedings info: CBDAR 2011.

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Table of contents (13 papers)

  1. Front Matter

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  2. Text Detection and Recognition in Scene Images

    1. Multi-script and Multi-oriented Text Localization from Scene Images

      • Thotreingam Kasar, Angarai G. Ramakrishnan
      Pages 1-14

    2. Assistive Text Reading from Complex Background for Blind Persons

      • Chucai Yi, Yingli Tian
      Pages 15-28

    3. A Head-Mounted Device for Recognizing Text in Natural Scenes

      • Carlos Merino-Gracia, Karel Lenc, Majid Mirmehdi
      Pages 29-41

    4. Text Detection of Two Major Indian Scripts in Natural Scene Images

      • Aruni Roy Chowdhury, Ujjwal Bhattacharya, Swapan K. Parui
      Pages 42-57

    5. An Algorithm for Colour-Based Natural Scene Text Segmentation

      • Chao Zeng, Wenjing Jia, Xiangjian He
      Pages 58-68

    6. Recognizing Natural Scene Characters by Convolutional Neural Network and Bimodal Image Enhancement

      • Yuanping Zhu, Jun Sun, Satoshi Naoi
      Pages 69-82

  3. Camera-Based Systems

    1. PaperUI

      • Qiong Liu, Chunyuan Liao
      Pages 83-100

    2. Decapod: A Flexible, Low Cost Digitization Solution for Small and Medium Archives

      • Faisal Shafait, Michael Patrick Cutter, Joost van Beusekom, Syed Saqib Bukhari, Thomas M. Breuel
      Pages 101-111

    3. A Method for Camera-Based Interactive Whiteboard Reading

      • Szilárd Vajda, Leonard Rothacker, Gernot A. Fink
      Pages 112-125

    4. Border Noise Removal of Camera-Captured Document Images Using Page Frame Detection

      • Syed Saqib Bukhari, Faisal Shafait, Thomas M. Breuel
      Pages 126-137

  4. Datasets and Evaluation

    1. An Image Based Performance Evaluation Method for Page Dewarping Algorithms Using SIFT Features

      • Syed Saqib Bukhari, Faisal Shafait, Thomas M. Breuel
      Pages 138-149

    2. NEOCR: A Configurable Dataset for Natural Image Text Recognition

      • Robert Nagy, Anders Dicker, Klaus Meyer-Wegener
      Pages 150-163

    3. The IUPR Dataset of Camera-Captured Document Images

      • Syed Saqib Bukhari, Faisal Shafait, Thomas M. Breuel
      Pages 164-171

  5. Back Matter

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  1. Camera-Based Document Analysis and Recognition

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About this book

This book constitutes the thoroughly refereed post-workshop-proceedings of the 4th International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2011, held in Beijing, China, in September 2011. The 13 revised full papers presented were carefully selected during a second round 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, camera-based systems, and datasets and evaluation.

Editors and Affiliations

  • Graduate School of Engineering, Dept. of Computer Science and Intelligent Systems, Osaka Prefecture University, Osaka, Japan

    Masakazu Iwamura

  • German Research Center for Artificial Intelligence, Multimedia Analysis and Data Mining Competence Center, Kaiserslautern, Germany

    Faisal Shafait

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