Fuzzy Support Vector Machine for Eye Expression Analysis

This paper consider the human eye expression analysis problem. In this algorithm, combines gabor wavelet, fuzzy support vector machine (FSVM) and triple decision tree. First, the gabor wavelet is used to extract the eye feature; Second, the fuzzy support vector machine is used for classification; Last, the triple decision tree is used to reduce time. Experimental results demonstrate the proposed the method has good classification performance and high efficiency.