ENGLISH

Camera-Based Document Analysis and Recognition: 4th International Workshop, CBDAR 2011, Beijing, China, September 22, 2011, Revised Selected Papers

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2012
ISBN
9783642293634, 9783642293641
Language
english
Format
PDF
Filesize
6 MB (6336694 bytes)
Series
Lecture Notes in Computer Science 7139 : Image Processing, Computer Vision, Pattern Recognition, and Graphics
Edition
1
Pages
173\179
Time added
2020-08-30 06:11:09

Description

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. Front Matter....Pages - Multi-script and Multi-oriented Text Localization from Scene Images....Pages 1-14 Assistive Text Reading from Complex Background for Blind Persons....Pages 15-28 A Head-Mounted Device for Recognizing Text in Natural Scenes....Pages 29-41 Text Detection of Two Major Indian Scripts in Natural Scene Images....Pages 42-57 An Algorithm for Colour-Based Natural Scene Text Segmentation....Pages 58-68 Recognizing Natural Scene Characters by Convolutional Neural Network and Bimodal Image Enhancement....Pages 69-82 PaperUI....Pages 83-100 Decapod: A Flexible, Low Cost Digitization Solution for Small and Medium Archives....Pages 101-111 A Method for Camera-Based Interactive Whiteboard Reading....Pages 112-125 Border Noise Removal of Camera-Captured Document Images Using Page Frame Detection....Pages 126-137 An Image Based Performance Evaluation Method for Page Dewarping Algorithms Using SIFT Features....Pages 138-149 NEOCR: A Configurable Dataset for Natural Image Text Recognition....Pages 150-163 The IUPR Dataset of Camera-Captured Document Images....Pages 164-171 Back Matter....Pages -

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