Gender and age recognition method and device and storage medium

A recognition method and gender technology, applied in the field of face attribute recognition, can solve the problems of gender and age recognition efficiency and low accuracy, and achieve the effect of solving gradient disappearance and overcoming limitations.

Pending Publication Date: 2021-01-22
SHENZHEN WEIBU INFORMATION
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AI Technical Summary

Problems solved by technology

[0005] In view of the above deficiencies in the prior art, the purpose of the present invention is to provide a gender and age identification method, device and storage medium, aiming to solve the problem of low efficiency and accuracy of gender and age identification in the prior art due to gradient disappearance

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  • Gender and age recognition method and device and storage medium

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Embodiment Construction

[0038] In order to make the object, technical solution and effect of the present invention more clear and definite, the present invention will be further described in detail below. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. Embodiments of the present invention will be described below in conjunction with the accompanying drawings.

[0039] see figure 1 , figure 1 It is a flow chart of a preferred embodiment of the gender and age identification method provided by the present invention. Such as figure 1 As shown, it includes the following steps:

[0040] S100. Construct and train a convolutional neural network for gender and age identification, wherein the convolutional neural network includes a residual module;

[0041] S200. Acquire an image to be recognized, and perform face detection on the image to be recognized through a pre-trained cascaded neural network to o...

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Abstract

The invention discloses a gender and age recognition method and device and a storage medium, and the method comprises the steps: constructing and training a convolutional neural network for gender andage recognition, wherein the convolutional neural network comprises a residual module; obtaining a to-be-recognized image, and performing face detection on the to-be-recognized image through a pre-trained cascaded neural network to obtain a face detection image; preprocessing the face detection image to obtain a preprocessed face detection image; and inputting the preprocessed face detection image into the trained convolutional neural network for gender and age recognition, and outputting a gender judgment result and an age estimation result in the face detection image. According to the embodiment of the invention, the convolutional neural network with the residual module is adopted to carry out gender and age recognition on the target face, the problem of gradient disappearance caused bynetwork deepening is solved, the limitation of a traditional algorithm is overcome, and gender and age recognition is enabled to be faster, more accurate and more reliable.

Description

technical field [0001] The present invention relates to the technical field of face attribute recognition, in particular to a gender and age recognition method, device and storage medium. Background technique [0002] Research based on face images, including face detection, identity authentication, face attributes and other recognition issues has become a research hotspot in the field of human-computer interaction, among which gender recognition and age estimation technology has a wide range of application requirements in the field of human-computer interaction, such as Shopping websites can push corresponding products based on gender and age identification results to increase transaction rates, and tobacco and alcohol vending machines can refuse to sell alcohol and tobacco to minors based on age estimation results, etc. [0003] At present, the identification of gender and age is generally carried out through facial images or body images of people, and age and gender are id...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/161G06N3/045G06F18/214
Inventor 丁永波黄建新刘超
Owner SHENZHEN WEIBU INFORMATION
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