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A near-infrared face image recognition method, device, electronic equipment and storage medium

A face image and recognition method technology, applied in character and pattern recognition, instruments, biological neural network models, etc., can solve problems that affect the accuracy of near-infrared face image recognition, and achieve improved recognition accuracy and strong representation capabilities Effect

Active Publication Date: 2020-12-08
XIDIAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, in the process of near-infrared and visible light face recognition, the above method only considers the direct comparison of near-infrared and visible light images in the feature space, and uses the initial comparison distance obtained from the comparison as the recognition criterion, which affects the recognition of near-infrared and visible light images. The recognition accuracy of infrared face image

Method used

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  • A near-infrared face image recognition method, device, electronic equipment and storage medium
  • A near-infrared face image recognition method, device, electronic equipment and storage medium
  • A near-infrared face image recognition method, device, electronic equipment and storage medium

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Embodiment 1

[0051] See figure 1 , figure 1 It is a schematic flowchart of a near-infrared face image recognition method provided by an embodiment of the present invention. Such as figure 1 As shown, the identification method of this embodiment includes:

[0052] Step 1. Obtain the first high-dimensional depth feature representation according to the near-infrared face image to be tested;

[0053] In step 1, the near-infrared face image to be tested is the image that needs to be recognized. The first high-dimensional depth feature representation is to divide the near-infrared face image to be tested into several parts, and then use the trained model to Each part is processed, the processing results are obtained separately, and finally obtained after splicing all the processing results. Therefore, the first high-dimensional depth feature representation of this embodiment can more accurately characterize the features of the near-infrared face image to be tested, and has stronger represent...

Embodiment 2

[0139] See image 3 , image 3 It is a schematic structural diagram of a near-infrared face image recognition device provided by an embodiment of the present invention. Such as image 3 As shown, the identification device includes:

[0140] The first processing module is used to obtain the first high-dimensional depth feature representation according to the near-infrared face image to be tested;

[0141] The second processing module is used for correspondingly obtaining M first high-dimensional depth feature representations according to the M visible light face images;

[0142] A recognition module, configured to perform face recognition on the near-infrared face image to be tested according to the first high-dimensional depth feature representation and the M first high-dimensional depth feature representations.

[0143] In one embodiment of the present invention, the first processing module is specifically configured to divide the near-infrared face image to be tested int...

Embodiment 3

[0151] See Figure 4 , Figure 4 It is a schematic structural diagram of an electronic device provided by an embodiment of the present invention. Such as Figure 4 As shown, the electronic device 1100 includes: a processor 1101, a communication interface 1102, a memory 1103, and a communication bus 1104, wherein the processor 1101, the communication interface 1102, and the memory 1103 complete mutual communication through the communication bus 1104;

[0152] memory 1103, for storing computer programs;

[0153] The processor 1101 is configured to implement the above method steps when executing the program stored in the memory 1103 .

[0154] When the processor 1101 executes the computer program, the following steps are implemented: according to the near-infrared face image to be tested, a first high-dimensional depth feature representation is obtained; according to M visible light face images, M second high-dimensional depth feature representations are correspondingly obtain...

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Abstract

The invention discloses a near-infrared face image recognition method, device, electronic equipment and storage medium, comprising: obtaining a first high-dimensional depth feature representation according to a near-infrared face image to be tested; Correspondingly, M second high-dimensional depth feature representations are obtained; according to the first high-dimensional depth feature representation and the M second high-dimensional depth feature representations, face recognition is performed on the near-infrared face image to be tested. The present invention uses the first high-dimensional depth feature representation and the second high-dimensional depth feature representation to represent the near-infrared face image and the visible light face image respectively, and the first high-dimensional depth feature representation and the second high-dimensional depth feature representation compare The feature representation adopted by some methods has stronger representation ability, thereby improving the recognition accuracy of near-infrared face images.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence and pattern recognition, and in particular relates to a near-infrared human face image recognition method, device, electronic equipment and storage medium. Background technique [0002] Since near-infrared imaging equipment is not disturbed by light and night environment, the recognition between near-infrared face images and visible light face images has a wide range of application values ​​in the field of social public security. For example, near-infrared imaging equipment can be used in security monitoring to obtain face images that are not disturbed by light factors. At this time, the collected near-infrared face images can be compared with visible light face images in the identity database. Thereby confirming the identity information of the target person. Due to the different imaging mechanisms of near-infrared and visible light face images, the collected images have great dif...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06N3/04
CPCG06V40/161G06V40/168G06N3/045
Inventor 彭春蕾王楠楠高新波李洁
Owner XIDIAN UNIV