Title :
Fuzzy Support Vector Machine for Eye Expression Analysis
Author :
Yin Fangping ; Li Wanbiao
Author_Institution :
Dept. of Basic Subjects, Guangdong Vocational Coll. of Mech. & Electr. Technol., Guangzhou, China
Abstract :
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.
Keywords :
decision trees; face recognition; feature extraction; fuzzy set theory; support vector machines; wavelet transforms; Gabor wavelet; eye states; fuzzy support vector machine; human eye expression analysis problem; triple decision tree; Algorithm design and analysis; Classification tree analysis; Decision trees; Educational institutions; Eyes; Feature extraction; Humans; Information analysis; Support vector machine classification; Support vector machines; eye states; fuzzy support vector machine; gabor wavelet; triple decision tree;
Conference_Titel :
Information and Computing Science, 2009. ICIC '09. Second International Conference on
Conference_Location :
Manchester
Print_ISBN :
978-0-7695-3634-7
DOI :
10.1109/ICIC.2009.356
