Camera-Based Document Analysis and Recognition [electronic resource] : 4th International Workshop, CBDAR 2011, Beijing, China, September 22, 2011, Revised Selected Papers / edited by Masakazu Iwamura, Faisal Shafait.
By: Iwamura, Masakazu [editor.].
Contributor(s): Shafait, Faisal [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 7139Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012Description: VIII, 173p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642293641.Subject(s): Computer science | Data mining | Text processing (Computer science | Computer vision | Optical pattern recognition | Computer Science | Image Processing and Computer Vision | Pattern Recognition | Data Mining and Knowledge Discovery | Document Preparation and Text Processing | Information Systems Applications (incl. Internet) | User Interfaces and Human Computer InteractionDDC classification: 006.6 | 006.37 Online resources: Click here to access online
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Springer eBooksSummary: 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.
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.
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