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Face recognition method based on simplified blood flow model and improved Weber local descriptor

A technology of local descriptor and blood flow model, which is applied in the field of biometric identification to achieve the effect of improving identification performance and strong anti-interference ability

Inactive Publication Date: 2014-12-24
天津卓朗科技发展有限公司 +1
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Problems solved by technology

[0006] The purpose of the present invention is to overcome the deficiencies of the prior art, and provide a face recognition method based on a simplified blood flow model and improved Weber local descriptors, which uses image processing technology and intelligent technology to solve the problem of thermal infrared face recognition, and has stronger discrimination ability.

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  • Face recognition method based on simplified blood flow model and improved Weber local descriptor
  • Face recognition method based on simplified blood flow model and improved Weber local descriptor
  • Face recognition method based on simplified blood flow model and improved Weber local descriptor

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[0016] The present invention will be further described in detail below in conjunction with the accompanying drawings. The following embodiments are only descriptive, not restrictive, and cannot limit the protection scope of the present invention.

[0017] A face recognition method based on a simplified blood flow model and an improved Weber local descriptor, which is as follows figure 1 shown, including the following steps:

[0018] ⑴Conversion of thermogram to blood flow diagram: the conversion of thermogram to blood flow diagram is realized through a simplified blood flow model, and the blood flow image of the face is obtained;

[0019] (2) Gaussian smoothing: Gaussian smoothing operation is performed on the above blood flow image to remove noise interference and improve the performance of infrared face recognition;

[0020] (3) Improved Weber local descriptor to extract local features: The improved Weber local descriptor is used to extract local features of the block blood...

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Abstract

The invention relates to a face recognition method based on a simplified blood flow model and an improved Weber local descriptor. A thermal infrared facial feature having robustness is extracted through the simplified blood flow model and the improved Weber local descriptor to achieve thermal infrared face image recognition. The face recognition method utilizes the simplified blood flow model to convert a thermal infrared face thermogram into a rheogram, and a stable face biological feature can be obtained. Local features of the rheogram are extracted by using the improved Weber local descriptor, and local authentication information can be fully utilized. The features are classified through PCA-method dimensionality reduction by means of a three-order neighbor algorithm, and thermal infrared face image recognition is achieved.

Description

technical field [0001] The invention belongs to the technical field of biological identification, and relates to thermal infrared face image recognition, in particular to a face recognition method based on a simplified blood flow model and an improved Weber local descriptor. Background technique [0002] Infrared face recognition is divided into near-infrared face recognition and far-infrared face recognition. The recognition process of near-infrared face recognition installs a near-infrared light-emitting diode and a long-pass filter on the camera to obtain a clear frontal image of the face, which can greatly reduce the impact of ambient light on the acquired face photos . However, its main disadvantage is that it requires the cooperation of the tester, so that near-infrared face recognition does not have the advantage of passive face recognition. In addition, since the near-infrared face image is obtained by imaging the reflected light of the face, if the tester's face i...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62
Inventor 杨巨成张坤宇岳洋熊聪聪陈亚瑞张晓元
Owner 天津卓朗科技发展有限公司
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