Camera-Based Document Analysis and Recognition, 2014 5th International Workshop, CBDAR 2013, Washington, DC, USA, August 23, 2013, Revised Selected Papers Image Processing, Computer Vision, Pattern Recognition, and Graphics Series

Langue : Anglais

Coordonnateurs : Iwamura Masakazu, Shafait Faisal

Couverture de l’ouvrage Camera-Based Document Analysis and Recognition

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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.

Spatially 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.

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Includes supplementary material: sn.pub/extras