Facial expression recognition method and device based on Gabor wavelets

A facial expression recognition and facial expression technology, applied in the field of image recognition, can solve problems such as network overfitting, difficulty in obtaining recognition accuracy, and affecting face recognition rate, etc., to achieve the goal of reducing interference, improving recognition rate, and reducing computing time Effect

Pending Publication Date: 2020-12-15
BEIJING YINGPU TECH CO LTD
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, with the improvement of the requirements for face detection, the defects of Gabor wavelet filtering are gradually revealed. High recognition accuracy can easily lead to network overfitting and affect the face recognition rate

Method used

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  • Facial expression recognition method and device based on Gabor wavelets
  • Facial expression recognition method and device based on Gabor wavelets
  • Facial expression recognition method and device based on Gabor wavelets

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Embodiment Construction

[0044] figure 1 It is a schematic flowchart of a Gabor wavelet-based facial expression recognition method according to an embodiment of the present application. Described facial expression recognition recognition method based on Gabor wavelet generally may comprise the steps:

[0045] S1. Grayscale and size normalize the input image:

[0046] This implementation mode is aimed at the face recognition of the grayscale image, and the method is:

[0047] performing grayscale processing on the input image;

[0048] Regularize the grayscale image to a uniform size; and correct the rotation deformation of the image after the size is unified.

[0049] In this embodiment, the input image needs to be pre-processed. The pre-processing process is the first step of the facial expression recognition system. The quality of the image pre-processing directly affects the expression feature extraction effect and recognition rate. The size normalization in this embodiment normalizes the expre...

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Abstract

The invention discloses a facial expression recognition method and device based on Gabor wavelets. The method comprises the following steps: carrying out graying and size normalization processing on an input image; according to a preset gray average value and a gray variance, carrying out gray equalization processing on the image after graying and size normalization processing, and the image aftergray equalization processing is used as a to-be-identified image; carrying out Gabor wavelet transform on the image to be identified by adopting a two-dimensional Gabor wavelet filter bank; extracting an expression feature vector of the to-be-recognized image; and carrying out matching identification on the extracted expression feature vector by using a non-uniform elastic grid template. The device comprises a preprocessing module, a feature extraction module and an identification matching module. According to the invention, the Gabor wavelet filtering is improved, the interference is effectively reduced, the recognition rate is greatly improved, and the operation time is greatly reduced.

Description

technical field [0001] This application relates to image recognition technology, in particular to a Gabor wavelet-based facial expression recognition method and device. Background technique [0002] CNN is a commonly used binary classification model in the face detection process, and Gabor wavelet filtering is a commonly used method for sampling images in the frequency domain of CNN models. However, with the improvement of the requirements for face detection, the defects of Gabor wavelet filtering are gradually revealed. High recognition accuracy can easily lead to network overfitting and affect the face recognition rate. Contents of the invention [0003] It is an object of the present application to overcome the above-mentioned problems or to at least partially solve or alleviate the above-mentioned problems. [0004] According to one aspect of the present application, a kind of facial expression recognition method based on Gabor wavelet is provided, and described meth...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/174G06V40/168G06F18/22
Inventor 樊硕
Owner BEIJING YINGPU TECH CO LTD
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