NDLI: Word Image Decomposition from Mixed Text/Graphics Images Using Statistical Methods

Content Provider	IEEE Xplore Digital Library
Author	Chang-Bu Jeong Soo-Hyung Kim
Copyright Year	2007
Description	Author affiliation: Honam Univ., Kwangju (Chang-Bu Jeong)
Abstract	This paper describes the development and implementation of a algorithm to extract words from image regions mixed text/graphics in document images using statistical analyses, which is a component of DIPS(Document Images Processing System) using statistical methods. To extract word images from image regions, the character components need to be separated from graphic components. For this process, we propose a method to separate them with an analysis of box-plot using a statistics of structural components. An accuracy of this method is not sensitive to the changes of images because the criterion of separation is defined by the statistics of components. And then the character regions are determined by analyzing a local crowdedness of the separated character elements. Finally, we divide the character regions into text lines and word images using projection profile analysis and gap clustering, etc. The proposed system could reduce the influence resulted from the changes of images because it uses the criterion based on the statistics of image regions.
Starting Page	624
Ending Page	628
File Size	261912
Page Count	5
File Format	PDF
ISBN	9780769528748
DOI	10.1109/FSKD.2007.617
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image analysis Software libraries Statistical analysis Image retrieval Computer graphics Information retrieval Image decomposition Internet Indexes Statistics
Content Type	Text
Resource Type	Article

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