Normal view MARC view ISBD view

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.]; Shafait, Faisal [editor.]; SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 7139Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.Description: VIII, 173p. online resource.ISBN: 9783642293641.Subject(s): Computer science | Data mining | Text processing (Computer science | Computer vision | Optical 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 InteractionDDC classification: 006.6 | 006.37 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.
Tags from this library: No tags from this library for this title. Add tag(s)
Log in to add tags.
    average rating: 0.0 (0 votes)

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.

There are no comments for this item.

Log in to your account to post a comment.
@ Jomo Kenyatta University Of Agriculture and Technology Library

Powered by Koha