Face Recognition Research Based On Elastic Bunch Graph Matching Algorithm

Face recognition is one of main methods of status authentication which based on technology of biologic characters recognition. Automatic status authentication based on person face recognition has great theory significance and application value. The research on the methods of person face recognition has become hot topic in the field of pattern recognition and artificial intelligence.In the Face Recognition System, a face is represented by a set of feature points. Each of these feature points is described by a Jet, which is a set of filter responses of 40 complex Gabor filters that are applied at that point. Thus a jet describes a local neighborhood of gray-values around a feature point. The filter set is fixed and usually contains Gabor filters that have eight different orientations and five different central frequencies. For training images, relevant feature points can be selected by hand and jets are extracted from the positions. For novel images, the corresponding feature points have to be found automatically, The coarse positions of the feature are located by the training face structure knowledge, then we use Elastic Bunch Graph to adjust' the accurate positions.This dissertation researches into the theory and technology of face recognition through two-dimensional Gabor wavelets transform, the main work and contributions of the dissertation are as follows:(1)The commonly used face recognition theories and methods are summarized compendiously in this dissertation. The research actualities, existing problems and technology development of face recognition technology are discussed(2)The preprocessing of face image is researched. The aim of face image preprocessing is to regularize the face image which is captured by image collecting devices to normal image.(3)Two-dimensional Gabor wavelets transform and its response characteristics in recognition applications are researched. Two-dimensional Gabor wavelets transform is realized by computing the convolutions of a bank of Two-dimensional Gabor filters and the grey values of pixels in an area around a given position in a image.(4) Researched the basic process of feature location and elastic bunch graph matching, analyzed the similarity function and matching function.