Face Recognition Based on Local Feature Analysis

Aface recognition method based on feature analysis is presented here. The local features are first located by the face structure knowledge and gray level distribution information, rather than searching the whole image as it does in Elastic Bunch Graph Matching. The coarse positions of the features are located, and then we use a data structure named Face Bunch Graph to adjust the feature positions. After the accurate positions of the features are located, the face is represented by the Gaborjets, which calculated on these local feature positions. Several distance metrics are tested and the results are given. In our experiment, this method works better than the Eigenface, and consumes less ti me than the traditional Elastic Bunch Graph method.