Vishal Padole, Vijay Mankar, "Image Classification by using Multiclass Support Vector Machines," WSEAS Transactions on Computer Research, vol. 7, pp. 1-8, 2019, DOI:
Vishal Padole, Vijay Mankar. Image Classification by using Multiclass Support Vector Machines.
WSEAS Transactions on Computer Research. 2019;7:1-8.
WSEAS Transactions on Computer Research
Print ISSN: 1991-8755, E-ISSN: 2415-1521
Volume 7, 2019
Image Classification by using Multiclass Support Vector Machines
Authors: ,
Abstract: A technique of searching, browsing, and retrieving the images from an image database is known as Image Retrieval. There are two types of Image retrieval techniques namely text based image retrieval and content based image retrieval techniques. Text-Based image retrieval uses traditional database techniques to manage images. Content-based image retrieval (CBIR) uses the visual features of an image such as color, shape, texture, and spatial layout to represent and index the image. In this paper classification of images is done by using Multiclass SVM and calculate the degree of matching of images with the images present in the database.
Pages: 1-8 WSEAS Transactions on Computer Research, ISSN / E-ISSN: 1991-8755 / 2415-1521, Volume 7, 2019, Art. #1 DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
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