NDLI: Thresholding video images for text detection

Content Provider	IEEE Xplore Digital Library
Author	Du, E.Y. Chang C. Thouin, P.D.
Copyright Year	2002
Description	Author affiliation: Dept. of Comput. Sci. & Electr. Eng., Maryland Univ., Baltimore, MD, USA (Du, E.Y.; Chang C)
Abstract	Thresholding video images is very challenging due to the fact that image background generally has low resolution and is also more complicated and highly distorted than document images. As a result, thresholding methods that work well for document images may not work effectively for video images in some applications. This paper investigates the issue of thresholding video images for text detection and further develops a relative entropy-based thresholding approach that can effectively extract text from complicated video images. In order to demonstrate its performance a comparative study is conducted among the proposed thresholding method and several thresholding techniques which are widely used for document and gray scale images. The experimental results show that thresholding video images is far more difficult than thresholding document images and simple histogram-based methods generally do not perform well.
Starting Page	919
Ending Page	922
File Size	243692
Page Count	4
File Format	PDF
ISBN	076951695X
ISSN	10514651
DOI	10.1109/ICPR.2002.1048184
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-08-11
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Entropy Shape measurement Image resolution Information retrieval Image retrieval Particle measurements Remote sensing Signal processing Image processing Laboratories
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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