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http://dx.doi.org/10.5573/ieek.2013.50.10.171

Gesture Recognition Using Zernike Moments Masked By Duel Ring  

Park, Jung-Su (Graduate School of Advanced Image Science, Multimedia, and Film, Chung-Ang University)
Kim, Tae-Yong (Graduate School of Advanced Image Science, Multimedia, and Film, Chung-Ang University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.50, no.10, 2013 , pp. 171-180 More about this Journal
Abstract
Generally, when we apply zernike moments value for matching, we can use those moments value obtained from projecting image information under circumscribed circle to zernike basis function. However, the problem is that the power of discrimination can be reduced because hand images include lots of overlapped information due to its special characteristic. On the other hand, when distinguishing hand poses, information in specific area of image information except for overlapped information can increase the power of discrimination. In this paper, in order to solve problems like those, we design R3 ring mask by combining image obtained from R2 ring mask, which can weight information of the power of discrimination and image obtained from R1 ring mask, which eliminate the overlapped information. The moments which are obtained by R3 ring mask decrease operational time by reducing dimension through principle component analysis. In order to confirm the superiority of the suggested method, we conducted some experiments by comparing our method to other method using seven different hand poses.
Keywords
Hand gesture recognition; Hand pose recognition; Zernike moments; PCA;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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