Indexing Techniques in Trademark Image Retrieval Systems
Mounira Taileb
Mounira Taileb*, IT department, King Abdulaziz University, Jeddah, Saudi Arabia.
Manuscript received on January 14, 2020. | Revised Manuscript received on January 24, 2020. | Manuscript published on February 10, 2020. | PP: 389-392 | Volume-9 Issue-4, February 2020. | Retrieval Number: D9057029420/2020©BEIESP | DOI: 10.35940/ijitee.D9057.029420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The development of automatic trademark image retrieval systems becomes a necessity because of the increasing number of registered trademarks in all countries. The goal is to protect the registered trademarks from counterfeiting and infringement. This paper introduces a trademark image retrieval system using indexing techniques. The proposed system is described by giving an overview about its architecture and describing in details all its components. The goal is to allow researchers and developers in image retrieval to build their own trademark retrieval system using the indexing techniques. Each part of the proposed system is considered as a component that can be improved or replaced. The reader can have a clear idea on: (1) the type of visual features to extract from the trademark images, (2) the indexing technique that can be used to organize the extracted features and speed-up the search and (3) how to perform a similar search for a new trademark image. The proposed system has been evaluated using several global features and the best performance is obtained when using Zernike moments coefficients with order 12.
Keywords: Content-based Image Retrieval, Indexing Techniques, Trademark Systems.
Scope of the Article: Artificial Intelligent Methods, Models, Techniques