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):

Material type: Text

TextSeries: Lecture Notes in Computer Science ; 7139Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012Description: VIII, 173p. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783642293641

Subject(s):

Additional physical formats: Printed edition:: No titleDDC classification:

006.6 23
006.37 23

LOC classification:

TA1637-1638
TA1637-1638

Online resources:

Click here to access online

In: 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.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
E-Book	Central Library		Available		E-49073

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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