An Implementation of a Face Recognition System Based on Gabor Wavelets
Zhong Xiang-yang · 2005
In this paper, an implementation of a face recognition system based on Gabor wavelets is presented. First, the eyes of a face image are located by using template matching, then a normalization process is used to produce similar images. The other features are searched in Elastic Bunch Graph Matching. The coarse positions of the feature are located by the training face structure knowledge, and then we use a data structure named Elastic Bunch Graph to adjust the accurate positions. After the accurate positions of the features are located, Gabor jets are extracted from the face image. Similarity between novel images is expressed as function of similarity between localized Gabor jets corresponding to facial landmarks.