Camera-Based Document Analysis and Recognition (eBook, PDF)

5th International Workshop, CBDAR 2013, Washington, DC, USA, August 23, 2013, Revised Selected Papers
Redaktion: Iwamura, Masakazu; Shafait, Faisal

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 187
• Erscheinungstermin: 18. März 2014
• Englisch
• ISBN-13: 9783319051673
• Artikelnr.: 43786810

Inhaltsangabe

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.