A Research on Logo Recognition in the E-Business

Author

Li, Hui ; Zheng, Youzhi

Author_Institution

Coll. of Software, Shenyang Normal Univ., Shenyang, China

Volume

4

fYear

2009

fDate

10-11 Oct. 2009

Firstpage

281

Lastpage

285

Abstract

It is one of the urgent problems to retrieve and catalog E-goods images according to the product logos in many E-business application. This paper puts forward an algorithm based on the combination of Fourier transform and information entropy, guiding the research on the logo recognition problem. Correlation ratio threshold and entropy difference ratio threshold were used to evaluate the matching result. In the experiment, the accuracy ratio and recall ratio in the logo recognition were statistically analyzed with the application of a large quantity of E-goods images. The results show that our algorithm works effectively on the logo recognition under the condition of proper correlation threshold and entropy difference ratio threshold.

Keywords

Fourier transforms; correlation methods; electronic commerce; entropy; image matching; image recognition; image retrieval; E-business; E-good image retrieval; Fourier transform; correlation ratio threshold; entropy difference ratio threshold; image matching; information entropy; logo recognition; Algorithm design and analysis; Application software; Automation; Educational institutions; Fourier transforms; Image analysis; Image matching; Image recognition; Image retrieval; Information entropy; Fourier transform; Logo recognition; image matching; information entropy;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on

Conference_Location

Changsha, Hunan

Print_ISBN

978-0-7695-3804-4

Type

conf

DOI

10.1109/ICICTA.2009.783

Filename

5288274