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10.5555/1681505.1681637guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

Sparse Representation Classification for Image Text Detection

Published: 12 December 2009 Publication History

Abstract

Text detection in images is important for the retrieval of text information from digital graph, video databases and web sites. In this paper, a text detection method based on sparse representation classification with discrimination dictionaries is presented, which can detect text with different sizes, fonts and colors. The propose method detects edge information using Sobel operator and a sliding window scans the edges into patches to facilitate sparse representation process. Then the roughly text area is detected by sparse representation classification based on discrimination dictionaries. Finally, a projection profile analysis is used to refine the detected text areas. The detection performance of our approach is tested using a set of video frames taken from MPEG-7 video test set.

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  • (2010)Text detection in natural images based on character classificationProceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II10.5555/1894049.1894120(736-746)Online publication date: 21-Sep-2010

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Published In

cover image Guide Proceedings
ISCID '09: Proceedings of the 2009 Second International Symposium on Computational Intelligence and Design - Volume 01
December 2009
573 pages
ISBN:9780769538655

Publisher

IEEE Computer Society

United States

Publication History

Published: 12 December 2009

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  1. discrimination dictionary
  2. sparse representation
  3. text detection

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Cited By

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  • (2010)Text detection in natural images based on character classificationProceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II10.5555/1894049.1894120(736-746)Online publication date: 21-Sep-2010

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