e-ISSN : 0975-3397
Print ISSN : 2229-5631
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ABSTRACT

Title : Automatic Web Image Categorization by Image Content:A case study with Web Document Images
Authors : Dr. Murugappan. S, Abirami S, Mizpha Poorana Selvi S
Keywords : Document Images, Web Crawler, Image Fetcher, Image Categorizer, Image File Filter.
Issue Date : May 2010
Abstract :
Crawling in Web images has become a challenging problem today due to its rising popularity. Among the most valuable Web assets, Categorizing images on the Web is quite difficult. This paper proposes a simple and effective method to separate the Document Images from the available web image sources. This system concentrates on Automatic Image categorization process over web images by employing a filtering technique to discriminate the document images, available in WWW. The strength of this technique lies in capturing the Image information by intensity and frequency histograms for discrimination of web document images.
Page(s) : 836-840
ISSN : 0975–3397
Source : Vol. 2, Issue.3

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