SE-ResNet network-based race identification method and device and computer storage medium

An identification method and technology of race, applied in the field of race identification, can solve the problem of low accuracy of classification and identification of a single subtype, and achieve the effect of improving efficiency and accuracy, reducing labor, and improving identification speed.

Pending Publication Date: 2022-03-08
上海弘目智能科技有限公司
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Problems solved by technology

[0003] Aiming at the defects of the above-mentioned prior art, the present invention provides a race identification method based on the SE-ResNet

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  • SE-ResNet network-based race identification method and device and computer storage medium
  • SE-ResNet network-based race identification method and device and computer storage medium
  • SE-ResNet network-based race identification method and device and computer storage medium

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[0024] The present invention is further illustrated in connection with the examples, and it is to be understood that these examples are intended to illustrate the scope of the invention and are not intended to limit the scope of the invention, and those skilled in the art will modify the various equivalents of the present description. It is within the scope of the claims appended claims.

[0025] Please combine figure 1 As shown, the steps of the human species identification method based on the SE-RESNET network of the present embodiment are as follows:

[0026] S1, obtain real human image data, and generate data set: Specifically, the human species used in the present invention has been captured in the actual project of the company, with a total of 6W of the general face, 6W Zhang Special people face . Almost cover images different from different genders of different sections of different photographs of different cameras different times, using MTCNN, and positioned the coordinate...

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Abstract

The invention discloses a race recognition method based on an SE-ResNet network. The race recognition method comprises the following steps: acquiring real race image data as original data, detecting a face, and performing rotary filling, correction and zooming to a uniform size; removing non-feature images of large-area shielding of side face, head lowering and five-sense-organ areas of the human face; performing diversity enhancement on the image data; carrying out value reduction processing on RGB channels of the image data, and then carrying out classified labeling; adding an SE residual module on the basis of ResNet 50 to establish an SE-ResNet network, and training the SE-ResNet network; and selecting a to-be-identified picture, inputting the picture into the SE-ResNet network obtained by training, and carrying out classification and identification to obtain a result. According to the method, the collected image data is detected and processed, and the SE-ResNet network is trained after the data without obvious characteristics is proposed, so that the method has relatively high recognition speed and accuracy.

Description

technical field [0001] The invention relates to a race identification method, in particular to a SE-ResNet network-based race recognition method, device and computer storage medium. Background technique [0002] Most of the world's ethnic identification is recognized as the four major races. In personnel management, due to the different characteristics of different nations and countries, it is necessary to respect their own living and working habits, so face recognition is required. The existing technology focuses on distinguishing the four major races. For example, the two patents with application numbers of 202010996916.2 and 201811372085.0 solve the problems that are all ready-made face data sets. Since they contain most of the European and American race data, the recognition results of other races are not good. good question. However, there are many types within a race, and the existing recognition methods are not very accurate in identifying this specific subtype. Co...

Claims

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Application Information

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IPC IPC(8): G06V40/16G06K9/62G06N3/04G06N3/08G06V10/774G06V10/82
CPCG06N3/08G06N3/045G06F18/214
Inventor 虞志媛杨立成
Owner 上海弘目智能科技有限公司
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