Title :
A Research on Logo Recognition in the E-Business
Author :
Li, Hui ; Zheng, Youzhi
Author_Institution :
Coll. of Software, Shenyang Normal Univ., Shenyang, China
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;
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
DOI :
10.1109/ICICTA.2009.783
