Automatic Web Image Categorization by Image Content:A case study with Web Document Images

Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 3

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.

Authors and Affiliations

Dr. Murugappan. S , Abirami S , Mizpha Poorana Selvi S

Keywords

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  • EP ID EP160479
  • DOI -
  • Views 123
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How To Cite

Dr. Murugappan. S, Abirami S, Mizpha Poorana Selvi S (2010). Automatic Web Image Categorization by Image Content:A case study with Web Document Images. International Journal on Computer Science and Engineering, 2(3), 836-840. https://www.europub.co.uk/articles/-A-160479