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Camera-Based Document Analysis and Recognition - 5th International Workshop, CBDAR 2013, Washington, DC, USA, August 23, 2013, Revised Selected Papers (Paperback, 2014) Loot Price: R2,131
Discovery Miles 21 310
Camera-Based Document Analysis and Recognition - 5th International Workshop, CBDAR 2013, Washington, DC, USA, August 23, 2013,...

Camera-Based Document Analysis and Recognition - 5th International Workshop, CBDAR 2013, Washington, DC, USA, August 23, 2013, Revised Selected Papers (Paperback, 2014)

Masakazu Iwamura, Faisal Shafait

Series: Lecture Notes in Computer Science, 8357

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Loot Price R2,131 Discovery Miles 21 310 | Repayment Terms: R200 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Lecture Notes in Computer Science, 8357
Release date: March 2014
First published: 2014
Editors: Masakazu Iwamura • Faisal Shafait
Dimensions: 235 x 155 x 11mm (L x W x T)
Format: Paperback
Pages: 187
Edition: 2014
ISBN-13: 978-3-319-05166-6
Categories: Books > Computing & IT > Applications of computing > Pattern recognition
Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
Books > Computing & IT > Applications of computing > Image processing > General
LSN: 3-319-05166-0
Barcode: 9783319051666

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