Volume 11 Issue 4 - October 2018

  • 1. Analysis of knn and svm classifier for image classification

    Authors : Vishal B. Padole, Dr. V. R. Mankar

    Pages : 35-39

    DOI : http://dx.doi.org/10.21172/1.114.07

    Keywords : SVM, KNN, CBIR, classifiers

    Abstract :

    Abstract: Content based image retrieval refers to search for an image from the huge database to retrieve an image with the required shape, text or size. Content-based image retrieval are judged on the parameters such as speed and efficiency, and a modified approach based on a composite color image histogram processing is introduced. This paper introduces a brief study and analysis of Multiclass SVM classifier and comparison of it with KNN classifiers, in application to retrieve a correct output image from database in reference to query image. The proposed approach is time efficient and provides good results. By using a pool of such classifiers we can make a system comprises of multiple CBIR systems providing complementary outputs of each other when yhese outputs are fused together we can have a best match for query image .

    Citing this Journal Article :

    Vishal B. Padole, Dr. V. R. Mankar, "Analysis of knn and svm classifier for image classification", https://www.ijltet.org/journal_details.php?id=938&j_id=4723, Volume 11 Issue 4 - October 2018, 35-39, #ijltetorg