Method for recognizing human face by comprehensively utilizing front and lateral images

Abstract

The invention relates to a method for recognizing a human face by comprehensively utilizing front and lateral images, which adopts two ordinary cameras and comprises the following steps of: 1: extracting the front image of the human face by a first camera, and sending the extracted front image of the human face into a computer; 2, extracting the lateral image of the human face by a second camera, and sending the extracted lateral image of the human face into the computer; 3, carrying out pretreatment and characteristic extraction on the extracted front image of the human face and the extracted lateral image of the human face by the computer to obtain two human-face characteristic vectors of human-face front-image characteristics and human-face lateral-image characteristics; 4, integrating the two human-face characteristic vectors into one characteristic vector, and then mapping into a point of a higher-dimensional space; 5, analyzing the point distribution of the same person in the higher-dimensional space by adopting a higher-dimensional space point-distribution analyzing method, determining an approximately geometric form covering a sample subspace, and constructing a training network model; and 6. recognizing the human face through the constructed training network model.

Description

Technical field [0001] The invention relates to a face recognition method, in particular to a system that comprehensively utilizes front and side images of a face and performs face recognition based on the principle of bionic pattern recognition. Background technique [0002] Face recognition, as a kind of biometric recognition, has a pivotal significance for identity confirmation. It is easier to collect characteristic information than fingerprint recognition, iris recognition, and voice recognition. Traditional face recognition refers to frontal face recognition. It has the bottleneck that the recognition rate is difficult to improve. Generally, the correct recognition rate can only reach 95%. Nowadays, someone has proposed a three-dimensional face recognition method, because it makes full use of the information on the side of the face, it can greatly improve the recognition rate. However, it has encountered the same problems as fingerprint recognition, iris recognition, and ...

AI Technical Summary

Problems solved by technology

However, it has encountered the same problems as fingerprint recognition, iris recognition, and voice recognition, that is, biometric information is not easy to collect, because three-dimensional scanning of human faces requires close cooperation of people

Another improved frontal face recognition method is to use dual cameras to simulate human eyes. In this method, the information collected by the two cameras has a large degree of repetition, and the frontal face recognition cannot use the information of the depth of the face. , so the improvement effect is not obvious

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