Human face model training module and method, human face real-time certification system and method

A face model, face technology, applied in character and pattern recognition, instruments, computer parts and other directions, to achieve the effect of improving accuracy, strong anti-expression and other interference capabilities
CN1885310AActive Publication Date: 2006-12-27GUANGDONG VIMICRO
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
GUANGDONG VIMICRO
Publication Date
2006-12-27

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Abstract

The invention relates to a face model training module, relative method, and a face real-time identify system, and method, wherein in the identification, first using face sample image, to supply one face model supporting vector machine to each user; via collecting the video image input by camera, searching and checking the face of image, and tracking and identifying the image; then automatically marking the organ character point of face, to pre-treat checked face; calculating the Gabor character of face image after pretreatment; selecting low-dimension character vector from high-dimension Gabor character; inputting the selected low-dimension character vector into face model, to process face recognition, to feedback similarity data of each face model; based on said similarity data, outputting final face identifying result. The invention can improve the right rate of face recognition identification.
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Description

technical field

[0001] The present invention relates to a model training module and method of a human face image, and a real-time face authentication system and method, in particular to a face model training module and method based on Gabor features and support vector machines, and a real-time authentication system and method . Background technique

[0002] Face recognition is to compare the input face image with the template in the known library and determine the degree of identity similarity. It is a very popular research topic in the field of computer vision and pattern recognition research. Compared with other biological characteristics (such as fingerprints, irises, DNA, etc.), using human faces for identification is more direct and natural. However, some other biometric features require an active information collection method, requiring the cooperation and cooperation of the user, which also brings inconvenience to the user. Face recognition adopts a passive informat...

Claims

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