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http://dx.doi.org/10.5392/JKCA.2011.11.5.125

Wine Label Recognition System using Image Similarity  

Jung, Jeong-Mun (전남대학교 전자컴퓨터공학부)
Yang, Hyung-Jeong (전남대학교 전자컴퓨터공학부)
Kim, Soo-Hyung (전남대학교 전자컴퓨터공학부)
Lee, Guee-Sang (전남대학교 전자컴퓨터공학부)
Kim, Sun-Hee (전남대학교 전자컴퓨터공학부)
Publication Information
The Journal of the Korea Contents Association / v.11, no.5, 2011 , pp. 125-137 More about this Journal
Abstract
Recently the research on the system using images taken from camera phones as input is actively conducted. This paper proposed a system that shows wine pictures which are similar to the input wine label in order. For the calculation of the similarity of images, the representative color of each cell of the image, the recognized text color, background color and distribution of feature points are used as the features. In order to calculate the difference of the colors, RGB is converted into CIE-Lab and the feature points are extracted by using Harris Corner Detection Algorithm. The weights of representative color of each cell of image, text color and background color are applied. The image similarity is calculated by normalizing the difference of color similarity and distribution of feature points. After calculating the similarity between the input image and the images in the database, the images in Database are shown in the descent order of the similarity so that the effort of users to search for similar wine labels again from the searched result is reduced.
Keywords
Content Based Image Retrieval; Wine Label; Similarity Searches; Feature Extraction;
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Times Cited By KSCI : 1  (Citation Analysis)
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