The invention provides a method for human face recognition based on face geometrical features. The method includes human face feature points detection, geometrical feature construction, human face database classification and human face recognition. According to the invention, the method, based on human face detection and human face recognition technology, improves geometrical features used in the human face feature point detection method and human face recognition, and guarantees in-time and accuracy of a human face recognition system based on feature point detection which combines an active shape model and the elastic bunch graph matching algorithm and also simple and accurate face geometrical feature technology. According to the invention, the method decomposes data in a large database into a plurality of sub-databases with labels which are determined by selected classification geometrical features. As for the input image to be tested, matching data can be reduced by simply comparing classification geometrical features of the image to be tested with each sub-database label in order to greatly increase efficiency of human face recognition.