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International Journal of Scientific Development and Research - IJSDR
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Authors Name: T.Sowmi , E.Saravana Kumar
Unique Id: IJSDR1603020
Published In: Volume 1 Issue 3, March-2016
Abstract: In digital technology, the usage of photo sharing websites are increased in recent years. So the multimedia data’s which has been communicated by the user are dumbed frequently. From the storage, retrieving the relevant information for the query became the challenging task among the research communities. In prior novel NDH method, the recognition rate was low interms of detecting the similarity and dissimilarity among the images for the query sample. It also acquired more iterative procedure to obtain the optimized subset by updating the transformation matrix. So to improve the performance, the genetic optimization algorithm is incorporated. The optimized feature subset is obtained by the fitness value by considering the four feature extraction methods. The extensive experiments are carried out with four datasets and compared with the state-of-the-art techniques in MATLAB.
Keywords: Genetic Algorithm, NDH, Transformation matrix, optimized subset
Cite Article: "IMAGE MINING: SIMILARITY SEARCH BASED ON GENETIC OPTIMIZATION ALGORITHM FOR LARGE SCALE DATABASE", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 3, page no.107 - 112, March-2016, Available :http://www.ijsdr.org/papers/IJSDR1603020.pdf
Downloads: 0001448
Publication Details: Published Paper ID: IJSDR1603020
Registration ID:160065
Published In: Volume 1 Issue 3, March-2016
DOI (Digital Object Identifier):
Page No: 107 - 112
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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