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Stereo-hyperspectral human face recognition method based on auroral imaging

A face recognition and hyperspectral technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of poor stability of recognition results and low recognition efficiency, and achieve high stability and improve efficiency.

Active Publication Date: 2016-09-21
XIDIAN UNIV
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Problems solved by technology

[0008] The purpose of the present invention is to overcome the defects in the above-mentioned prior art, and propose a stereo-hyperspectral face recognition method based on polar imaging, which is used to solve the problems of poor stability of recognition results and problems in existing multispectral face recognition methods. Identify technical issues with low productivity

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  • Stereo-hyperspectral human face recognition method based on auroral imaging
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  • Stereo-hyperspectral human face recognition method based on auroral imaging

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[0027] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0028] refer to figure 1 , a stereo-hyperspectral face recognition method based on polar imaging, comprising the following steps:

[0029] Step 1, use the polar spectrum system to collect face data, such as figure 2 As shown, the two-dimensional polar image of the face in each spectral band and the spectral information corresponding to the pixels on the two-dimensional polar image are obtained. Collecting face data in each spectral band can reflect the face features more comprehensively and make the recognition result more accurate. precise;

[0030]Step 2: Select the polar images corresponding to multiple spectral bands with the highest quality from the obtained two-dimensional polar images of the face, fuse the selected multiple polar images with the highest quality, and perform fusion on the fused polar images Affine transformation, duri...

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Abstract

The invention provides a stereo-hyperspectral human face recognition method based on auroral imaging, for solving the technical problems of poor recognition result stability and low recognition efficiency of conventional multi-spectral human face recognition methods. The stereo-hyperspectral human face recognition method comprises the following steps of: 1, using an auroral spectrum system to collect human face Information; 2, carrying out stereo reconstruction of a human face according to a two-dimensional auroral image in the human face information; 3, diving the two-dimensional human face into regional blocks, and dividing the three-dimensional human face and human face spectrum information into regional blocks according to the division result; 4, extracting comprehensive feature vectors of the regional blocks; 5, for many human faces and the to-be-recognized human face, adopting the step 1 to the step 4 to obtain sample library data and to-be-recognized human face data; 6, training the sample library data to get a classifier; 7, inputting the to-be-recognized human face data to the classifier, and identifying the human face. The stereo-hyperspectral human face recognition method of the invention has the characteristics of good stability and high identification efficiency, and can be used to authenticate an identity for financial transaction, security defense, customs clearance and the like.

Description

technical field [0001] The invention belongs to the technical field of biological feature recognition, and relates to a face recognition method, in particular to a stereoscopic-hyperspectral face recognition method based on polar imaging, which can be used for identification of financial transactions, security defense, customs clearance and security checks, etc. Background technique [0002] There are 6.7 billion human beings with different appearances and skin colors living in the world. As an important biological feature, the human face plays an important role in the communication between people. In today's society, human face has become an important feature for identification. Face recognition systems can be divided into three types according to functions: security-oriented, management and supervision, and multimedia entertainment, and the requirements for recognition accuracy are also lower in turn. According to reports, hundreds of millions of dollars of government wel...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/172G06V40/171
Inventor 吴鑫张建奇刘鹏飞杨琛
Owner XIDIAN UNIV
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