Face recognition method

A technology of face recognition and face features, which is applied in the field of face recognition, can solve the problems that the face recognition system cannot learn online, and the robustness is not strong, so as to achieve excellent nonlinear approximation ability and learning ability, and improve robustness High accuracy and high effect

Active Publication Date: 2012-02-01
山西安数智能科技有限公司
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Problems solved by technology

[0005] In view of the shortcomings mentioned in the above background technology that the existing face recognition system cannot learn online and its robustness is not strong, the present invention proposes a face recognition method

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[0041] The preferred embodiments will be described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.

[0042] The invention simulates the update mechanism of human brain memory, proposes a parallel neural network model that can be updated independently online, solves the image matching problem of the face recognition system processing massive data sources, and can improve the ability of the face recognition system to face itself and changes in the photography environment White adaptability and robustness.

[0043] First, based on the fuzzy clustering method, the approximate face images are classified in the same cluster, and the massive image data sources are classified into multiple small clusters (small neural network units). On this basis, through multiple small neural network The network units are connected in para...

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Abstract

The invention discloses a face recognition method which belongs to the technical field of face recognition. The face recognition method comprises the following steps: extracting face characteristics by adopting a fuzzy mean clustering method and forming a training sample set, and grouping the training sample set according to the face characteristics; and then establishing a parallel neural network and synthesizing the output of the parallel neural network, thereby acquiring a final recognition result; and updating training samples during a recognition process by a classifier. By adopting the face recognition method, the problem that a traditional neural network is low in recognition speed and low in recognition precision during a process of processing a mass of image data sources is solved, and the adaptive ability of a system is promoted.

Description

technical field [0001] The invention belongs to the technical field of face recognition, and in particular relates to a face recognition method. Background technique [0002] Face recognition has great theoretical significance and application value, and has become a hot research topic at home and abroad in recent years. The research on face recognition has played a major role in promoting the development of image processing, pattern recognition, computer vision, computer graphics and other fields, and has a wide range of applications in biometric authentication, access management, video surveillance and other fields. [0003] Although people's research on face recognition has achieved fruitful results, these methods are still limited by the actual application environment. On the one hand, these limitations mainly come from the changes of the face itself, such as changes in facial expressions, postures, positions, and the influence of covering objects; change in magnitude. ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/66G06N3/02
Inventor 袁雪魏学业张原
Owner 山西安数智能科技有限公司
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