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General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2012 Vol.4(6): 1035-1038 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2012.V4.633

Trademark Recognition Using a Weighted Combination of Different Image Features

Madeena Sultana and Mohammad Shorif Uddin

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.

Index Terms—Color histogram, distance parameter, image recognition, moment invariant, trademark.

M. Sultana is with the Department of Computer Science and Engineering, University of Liberal Arts Bangladesh, Dhaka, Bangladesh (e-mail: madeena.sultana@ ulab.edu.bd).
M. S. Uddin is with the Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh (e-mail:shorif.uddin@gmail.com).

[PDF]

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.

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