Method and device for identifying human face through double models

Abstract

The invention discloses a method for identifying human face through double models and mainly solves the problem that the traditional identification method greatly depends on textures of a human face image. The method of the invention comprises the following steps: dividing a human face image sample set into a test image set and a train image set, and studying a train image to obtain a characteristic face subspace and an active apparent model; projecting test and train images to the characteristic face subspace to obtain texture models, and calculating the distance between the test and train image texture models; automatically searching test and train image characteristic points according to the active apparent model, constructing shape models, and taking an image edit distance as the distance between test and train image shape models; and determining identity information of the test image through weighted fusion of the distances. Compared with the texture-based or structural information-based identification method, the method of the invention has the advantage of higher identification rate to the human face image with changed expression, illumination and size, particularly to the human face image acquired under the condition of changed illumination, and can be used for authentication under the influence of a plurality of factors.

Description

technical field [0001] The invention belongs to the fields of image processing and computer vision, in particular to a dual-mode face recognition method and device, which can be used for face retrieval and recognition in the pattern recognition field. Background technique [0002] With the continuous development of society and the improvement of living standards, people pay more and more attention to issues such as social security and information security. Quick and effective identity authentication has become one of the urgent problems to be solved in today's era. Biometric technology emerged at the historic moment and quickly became a research hotspot in the field of computer vision. At present, researchers have carried out research on features such as face, fingerprint, iris, and gait, and have achieved extensive applications. Compared with other biometrics, face images are the easiest to obtain, and the use of faces for identity verification is non-invasive. Therefore, ...

AI Technical Summary

Problems solved by technology

[0014] The purpose of the present invention is to solve the problem that existing methods cannot effectively extract the topological structure information of face images, reduce the dependence on pixel brightness information in face recognition, and overcome the constraints of expression and scale in the face recognition method based on the nearest neighbor method. It provides a dual-mode face recognition method to better realize the effect of face recognition under changes in expression, scale and illumination.

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