Camera-Based Document Analysis and Recognition [electronic resource] : 5th International Workshop, CBDAR 2013, Washington, DC, USA, August 23, 2013, Revised Selected Papers / edited by Masakazu Iwamura, Faisal Shafait.
Contributor(s): Iwamura, Masakazu [editor.] | Shafait, Faisal [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Computer Science: 8357Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Description: VIII, 187 p. 117 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319051673.Subject(s): Computer science | Data mining | User interfaces (Computer systems) | Text processing (Computer science) | Image processing | 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 InteractionAdditional physical formats: Printed edition:: No titleDDC classification: 006.6 | 006.37 Online resources: Click here to access onlineSpatially Prioritized and Persistent Text Detection and Decoding -- A Hierarchical Visual Saliency Model for Character Detection -- in Natural Scenes -- A Robust Approach to Extraction of Texts from Camera Captured Images -- Scene Text Detection via Integrated Discrimination of Component Appearance and Consensus -- Accuracy Improvement of Viewpoint-Free Scene Character Recognition by Rotation Angle Estimation -- Sign Detection Based Text Localization in Mobile Device Captured Scene Images -- Font Distribution Observation by Network-Based Analysis -- Book Page Spreads Captured with a Mobile Phone Camera -- A Dataset for Quality Assessment of Camera Captured Document Images.
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.
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