Face image age recognition method, device and equipment

A face image and recognition method technology, applied in the field of face image age recognition, can solve the problem of low accuracy of age estimation results, and achieve the effect of solving low accuracy, improving accuracy and good robustness

Active Publication Date: 2020-09-18
ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD +1
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Problems solved by technology

[0004] This application provides a face image age recognition method, device and equipment, which are used to solve the existing age classification estimation through a three-layer BP neural network to obtain age Technical problems with low accuracy of estimated results

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  • Face image age recognition method, device and equipment
  • Face image age recognition method, device and equipment
  • Face image age recognition method, device and equipment

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Embodiment Construction

[0059] The existing three-layer BP neural network is used for age classification estimation. Due to the different network structure choices of the BP neural network, the network structure selection is too large, the efficiency in training is not high, and over-fitting may occur, resulting in low network performance and Fault tolerance decreases. If the selection is too small, the network may not converge, and the BP neural network is very sensitive to the initial network weight. The network is initialized based on different weights, and different results are obtained for each training, resulting in the accuracy of age recognition. Low.

[0060] The embodiment of the present application provides a face image age recognition method, device and equipment, which are used to solve the existing technical problem that the accuracy of the age estimation result obtained by performing age classification estimation through a three-layer BP neural network is not high.

[0061] In order to...

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Abstract

The invention discloses a face image age recognition method, device and equipment. According to the invention, the first weight combinations of the n base classifiers are iteratively updated to obtainthe second weight combination; performing iterative updating each time to obtain a second weight combination; performing weighted voting on the n probability results to obtain a standard probabilityresult; continuously iterating and updating the first weight combination; stopping iterative updating until a standard probability result obtained by continuously iteratively updating a preset numberof times is smaller than a preset threshold value; the accuracy of a weighted voting result is improved; comparing the plurality of standard probability results to obtain a standard probability resultwith the maximum probability; wherein the second weight combination corresponding to the standard probability result with the maximum probability is the integrated optimal weight ratio; and inputtingthe to-be-recognized face image into the preset base classifier to obtain a face age recognition result, so that the accuracy of face age recognition can be improved, and the technical problem of lowaccuracy of an age estimation result obtained by performing age classification estimation through a three-layer BP neural network in the prior art is solved.

Description

technical field [0001] The present application relates to the technical field of image recognition, and in particular to a method, device and equipment for age recognition of face images. Background technique [0002] In recent years, with the rapid development of biometric technology, computer-based face age estimation technology has been widely used in the fields of security detection, human-computer interaction and forensic science. The age information contained in the face image can effectively prevent vending machines from selling cigarettes and illegal drugs to minors. [0003] In the prior art, the Sobel operator is used to detect the edge of the face image, and then use threshold segmentation to obtain the face skin area, and then use a three-layer BP neural network to estimate the age classification. However, the accuracy rate of the age estimation results obtained by the existing age classification estimation through the three-layer BP neural network is not high. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06V40/178G06V40/172G06V40/168G06N3/047G06N3/045G06F18/2411G06F18/2415G06F18/214
Inventor 肖勇杨劲锋金鑫冯俊豪
Owner ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD
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