@article{(Open Science Index):https://publications.waset.org/pdf/2741, title = {A Neural Network Based Facial Expression Analysis using Gabor Wavelets}, author = {Praseeda Lekshmi.V and Dr.M.Sasikumar}, country = {}, institution = {}, abstract = {Facial expression analysis is rapidly becoming an area of intense interest in computer science and human-computer interaction design communities. The most expressive way humans display emotions is through facial expressions. In this paper we present a method to analyze facial expression from images by applying Gabor wavelet transform (GWT) and Discrete Cosine Transform (DCT) on face images. Radial Basis Function (RBF) Network is used to classify the facial expressions. As a second stage, the images are preprocessed to enhance the edge details and non uniform down sampling is done to reduce the computational complexity and processing time. Our method reliably works even with faces, which carry heavy expressions.}, journal = {International Journal of Electrical and Computer Engineering}, volume = {2}, number = {6}, year = {2008}, pages = {1179 - 1183}, ee = {https://publications.waset.org/pdf/2741}, url = {https://publications.waset.org/vol/18}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 18, 2008}, }