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http://dx.doi.org/10.5573/ieie.2015.52.7.086

A Study of Improving LDP Code Using Edge Directional Information  

Lee, Tae Hwan (Department of Computer Engineering, Kyunghee University)
Cho, Young Tak (Department of Computer Engineering, Kyunghee University)
Ahn, Yong Hak (Department of Computer Engineering, Sejong University)
Chae, Ok Sam (Department of Computer Engineering, Kyunghee University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.52, no.7, 2015 , pp. 86-92 More about this Journal
Abstract
This study proposes new LDP code to improve facial expression recognition rate by including local directional number(LDN), edge magnitudes and differences of neighborhood edge intensity. LDP is less sensitive on the change of intensity and stronger about noise than LBP. But LDP is difficult to express the smooth area without changing of intensity and if background image has the similar pattern with a face, the facial expression recognition rate of LDP is low. Therefore, we make the LDP code has the local directional number and the edge strength and experiment the facial expression recognition rate of changed LDP code.
Keywords
Face recognition; Expression recognition; Facial feature; Local Directional Number; Local Directional Pattern;
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