Title: Trademark image retrieval using weighted combination of sift and HSV correlogram

Authors: Akriti Nigam; R.C. Tripathi

Addresses: Indian Institute of Information Technology, Allahabad, India ' Indian Institute of Information Technology, Allahabad, India

Abstract: This paper describes an effective tool to automate the process of trademark similarity checking at the time of registration. A combination of shape and colour feature has been illustrated here so that images taken from different vantage points or levels fall into the same group. This was particularly important for trademark images to curb attempts at trademark infringement through object transformations. SIFT has been used as a powerful technique that is unaffected by various transformations like rotation, scaling, translation, change in view etc. Correlogram on the other hand has been used to describe the colour content of the image which is then combined with SIFT to completely represent a trademark image.

Keywords: SIFT; colour correlograms; interest points; trademark retrieval; trademarks; image retrieval; HSV correlogram; trademark similarity checking; shape features; colour features; trademark images.

DOI: 10.1504/IJCAT.2016.077797

International Journal of Computer Applications in Technology, 2016 Vol.54 No.1, pp.61 - 67

Accepted: 25 Jul 2015
Published online: 15 Jul 2016 *

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