Face recognition is a new research topic in today's pattern recognition field.With analyzing the advantages and disadvantages of transient image matching algorithm

a new algorithm for fast human face image matching based on self-adaption grid division and vector coding is presented in this paper.On the premise of the edge extraction and two-value characterization

and face contour extraction

the two images' edges are firstly divided into several grids

and then the segments of the edges and character contour within each grid are described with chain and vector coding.Finally

by computing the similarities and shape alteration between the vector codes

the course of goal matching and recognition is accomplished.The simulative experiment is carried out on the standard ORL face database.Satisfied results have been obtained

which show that the proposed algorithm can not only effectively resolve the problems caused by lower recognition owing to image rotation

minute alteration of edge shape caused by pose transformation and different illumination condition

but also greatly enhance the matching precision and reduce the redundant information and the complexity of computation.