UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 2
February-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIRFE06014


Registration ID:
316970

Page Number

73-78

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Title

Image Classification Using Support Vector Machine

Abstract

The article explains how to classify images using machine learning techniques. The Support Vector Machine with strong flexibility and the capacity to operate with a vast collection of input data was employed to complete this challenge. A software created in the MATLAB simulation environment was used to explain the model. The main difficulty that image classification is gathering a large enough training set of photos to obtain a high probability of successful recognition. The photographs in the CIFAR 100 database, which have a tiny size of 32x32 pixels and are publicly available. It has 60 000 photos organised into ten primary categories. The author's database was then utilised, which included 1000 pedestrians, autos, and road signs.

Key Words

Image Classification Using Support Vector Machine

Cite This Article

"Image Classification Using Support Vector Machine", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.73-78, February-2019, Available :http://www.jetir.org/papers/JETIRFE06014.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Image Classification Using Support Vector Machine", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp73-78, February-2019, Available at : http://www.jetir.org/papers/JETIRFE06014.pdf

Publication Details

Published Paper ID: JETIRFE06014
Registration ID: 316970
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 73-78
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162


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