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  Published Paper Details:

  Paper Title

CBIR USING SVM FOR WEB SEARCHING APPLICATION

  Authors

  Miss Asma A. Syed,  Prof. Archana O. Vyas

  Keywords

CBIR, DCD, HSV, SVM

  Abstract


Retrieving the images from web pages is the need in modern era. In order to retrieve an image; three visual features may help, that visual features are colour, texture and shape. Image retrieval system try to assay through a database to look for images that are content fully same as that of query image. An increasingly popular and the substantial method that help in the retrieval of an image data from a large collection of data is Content Based Image Retrieval (CBIR). In the proposed work, CBIR approach along with Support Vector Machine (SVM) algorithm is projected to be used for retrieval of an image. CBIR accounts the approach of retrieving images on the basis of visual features from huge collection of data. It is projected to implement the substantial technique for retrieval of an image which uses dynamic dominant colour, shape and texture features of an image.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2004257

  Paper ID - 193520

  Page Number(s) - 1913-1916

  Pubished in - Volume 8 | Issue 4 | April 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Miss Asma A. Syed,  Prof. Archana O. Vyas,   "CBIR USING SVM FOR WEB SEARCHING APPLICATION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 4, pp.1913-1916, April 2020, Available at :http://www.ijcrt.org/papers/IJCRT2004257.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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