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http://dx.doi.org/10.5391/JKIIS.2006.16.6.759

A Study on Fuzzy Wavelet LDA Mixed Model for an effective Face Expression Recognition  

Rho, Jong-Heun (원광대학교 전자공학과)
Baek, Young-Hyun (원광대학교 전자공학과)
Moon, Sung-Ryong (원광대학교 전자공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.16, no.6, 2006 , pp. 759-765 More about this Journal
Abstract
In this paper, it is proposed an effective face expression recognition LDA mixed mode using a triangularity membership fuzzy function and wavelet basis. The proposal algorithm gets performs the optimal image, fuzzy wavelet algorithm and Expression recognition is consisted of face characteristic detection step and face Expression recognition step. This paper could applied to the PCA and LDA in using some simple strategies and also compares and analyzes the performance of the LDA mixed model which is combined and the facial expression recognition based on PCA and LDA. The LDA mixed model is represented by the PCA and the LDA approaches. And then we calculate the distance of vectors dPCA, dLDA from all fates in the database. Last, the two vectors are combined according to a given combination rule and the final decision is made by NNPC. In a result, we could showed the superior the LDA mixed model can be than the conventional algorithm.
Keywords
Expression recognition; PCA; LDA; Fuzzy function; Wavelet basis;
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