01411nas a2200181   4500008004100000245012400041210006900165260000900234300001400243490000700257520074600264653003401010653001201044653003401056100001101090700001101101856011701112       2013                        eng d00aThe integration of PCA, FLD and gabor two-dimensional wavelet transformation using facial expression feature extraction0 aintegration of PCA FLD and gabor twodimensional wavelet transfor  c2013  a284 - 2890 v113 aIn order to improve the rate of facial expression recognition. The Gabor wavelet fusion PCA+FLD method is proposed as a new method this paper. Firstly, face image preprocessing, and then carries on the two-dimensional wavelet transform Gabor, first constructed five scale eight directional wavelet filter, through the PCA+FLD method for dimensionality reduction, and finally obtaining an optimum expression a projection subspace classifier in all the optimal subspace. The experiment proves, fusion PCA, FLD and Gabor wavelet transform two-dimensional facial expression feature extraction for classifier design, facial expression recognition rate is high. The experiment proves that the new method of Gabor wavelet fusion PCA+FLD is perfect.10aFacial expression recognition10aPCA+FLD10aTwo dimensional gabor wavelet1 aNi, J.1 aLi, Y.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84888357193&partnerID=40&md5=4efdf9679a3c503ac68ea63914484966