doi: 10.7763/IJCTE.2012.V4.633
Trademark Recognition Using a Weighted Combination of Different Image Features
Madeena Sultana1
,
Mohammad Shorif Uddin1,2
- 1Department of Computer Science and Engineering, University of Liberal Arts Bangladesh, Dhaka, Bangladesh.
- 2Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh.
Abstract
Large image databases find diverse applications in real-life situations. It is essential to develop an efficient technique to grasp required information from these databases. A good number of researchers are involved in developing techniques for object retrieval and recognition using different image features, such as color histogram, distance, and shape parameters. Efficient retrieval and robustness are two main criteria for recognition of an object using image databases. Keeping this in mind, the present paper describes a hybrid method using a weighted combination of color histogram, distance, and moment parameters for trademark recognition. Our experimentation with a database containing 200 trademark images confirms the superiority of the present method in comparison to the techniques with single feature.
Keywords
- Color histogram
- distance parameter
- image recognition
- moment invariant
- trademark
How to Cite
Madeena Sultana and Mohammad Shorif Uddin, "Trademark Recognition Using a Weighted Combination of Different Image Features," International Journal of Computer Theory and Engineering, vol. 4, no. 6, pp. 1035-1038, 2012. https://doi.org/10.7763/IJCTE.2012.V4.633
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).