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http://dx.doi.org/10.6109/jkiice.2012.16.7.1377

Smartphone Based FND Recognition Method using sequential difference images and ART-II Clustering  

Koo, Kyung-Mo (부산대학교)
Cha, Eui-Young (부산대학교)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.16, no.7, 2012 , pp. 1377-1382 More about this Journal
Abstract
In this paper, we propose a novel recognition method that extract source data from encoded signal that are displayed on FND mounted on home appliances. First of all, it find a candidate FND region from sequential difference images taken by smartphone and extract segment image using clustering RGB value. After that, it normalize segment images to correct a slant error and recognize each segments using a relative distance. Experiments show the robustness of the recognition algorithm on smartphone.
Keywords
Smartphone; Smart Diagnosis; Extract Validate-frame; Recognize FND;
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