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Reseach Article

Logo Recognition Technique using Sift Descriptor, Surf Descriptor and Hog Descriptor

by Chinmoy Biswas, Joydeep Mukherjee
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 117 - Number 22
Year of Publication: 2015
Authors: Chinmoy Biswas, Joydeep Mukherjee
10.5120/20689-3574

Chinmoy Biswas, Joydeep Mukherjee . Logo Recognition Technique using Sift Descriptor, Surf Descriptor and Hog Descriptor. International Journal of Computer Applications. 117, 22 ( May 2015), 34-37. DOI=10.5120/20689-3574

@article{ 10.5120/20689-3574,
author = { Chinmoy Biswas, Joydeep Mukherjee },
title = { Logo Recognition Technique using Sift Descriptor, Surf Descriptor and Hog Descriptor },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 117 },
number = { 22 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 34-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume117/number22/20689-3574/ },
doi = { 10.5120/20689-3574 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:00:08.427121+05:30
%A Chinmoy Biswas
%A Joydeep Mukherjee
%T Logo Recognition Technique using Sift Descriptor, Surf Descriptor and Hog Descriptor
%J International Journal of Computer Applications
%@ 0975-8887
%V 117
%N 22
%P 34-37
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Logos sometimes also known as trademark have high importance in today's marketing world. Logo or trademark is of high importance because it carries the goodwill of the company and the product. Logo matching and recognition is important to discover either improper or unauthorized use of logos. Query images may come with different types of scale, rotation, affine distortion, illumination noise, highly occluded noise. Sift descriptor, surf descriptor and hog descriptor are very good features to use among the existing techniques to recognize the logo images from such difficulties more accurately.

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Index Terms

Computer Science
Information Sciences

Keywords

KeyPoint localization KeyPoint descriptor Interest Point Descriptor