Camera-Based Document Analysis and Recognition

1. Front Matter

   PDF

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

   PDF

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.

• OCR
• convolutional neural network
• human-computer interaction
• text detection
• vision-based paper interface

• 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

Policies and ethics