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Content based Trademark Retrieval by Integrating Shape with Colour and Texture Information

by Akriti Nigam, Arpit Kumar Garg, R.C.Tripathi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 22 - Number 7
Year of Publication: 2011
Authors: Akriti Nigam, Arpit Kumar Garg, R.C.Tripathi
10.5120/2592-3600

Akriti Nigam, Arpit Kumar Garg, R.C.Tripathi . Content based Trademark Retrieval by Integrating Shape with Colour and Texture Information. International Journal of Computer Applications. 22, 7 ( May 2011), 40-45. DOI=10.5120/2592-3600

@article{ 10.5120/2592-3600,
author = { Akriti Nigam, Arpit Kumar Garg, R.C.Tripathi },
title = { Content based Trademark Retrieval by Integrating Shape with Colour and Texture Information },
journal = { International Journal of Computer Applications },
issue_date = { May 2011 },
volume = { 22 },
number = { 7 },
month = { May },
year = { 2011 },
issn = { 0975-8887 },
pages = { 40-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume22/number7/2592-3600/ },
doi = { 10.5120/2592-3600 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:08:48.823534+05:30
%A Akriti Nigam
%A Arpit Kumar Garg
%A R.C.Tripathi
%T Content based Trademark Retrieval by Integrating Shape with Colour and Texture Information
%J International Journal of Computer Applications
%@ 0975-8887
%V 22
%N 7
%P 40-45
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Trademark is one of the most disputed items in Intellectual Property Rights. To grant a trademark, litigation is carried out to investigate if the new trademark applied for matches substantially with an already issued trademark. Considering the fact that the trademark database is very huge and keeps on increasing constantly, the manual search is definitely not a correct solution and an Information and Communication Technology (ICT) based system is required to automate this process. In a content based retrieval system, shape is easily the most important feature for the trademark image. Using shape feature various systems have been developed in the past. Here, a new approach is proposed that integrates shape with color and texture information that improves the results significantly in terms of Precision and Recall. A flexible combination of features is used for improving performance and clustering is applied to the database to enhance retrieval efficiency.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Trademark Retrieval color histogram gray level co occurrence matrix wavelet transform Zernike moment clustering.

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