Expression Recognition Based on Gabor Wavelet and Expression Combination Template
Guiran Chang · Microcomputer Information · 2010
This paper presents a new method of face recognition,with a combination of facial expression templates and Gabor wavelet. With the aid of Gabor wavelet transformation in the field of image processing,the method discussed could effectively extract charac-teristics of facial expression,overcome the negative impacts of individual differences as well as construct expression templates from the perspective of the classification. First,on the basis of face detection,we use of Gabor wavelet transformation to extract vector in each area. Then compares feature vectors of expression to be recognized in each feature area. After choosing the vector corresponding to the minimum by using Euclidean distance,it will turn back to the expression combination template and finally identify the type of expression. Experiments show that the identification rate of method is as high as 83% and the effect of expression identification is excellent.