Facial expression identification method based on Gabor wavelet and gray-level co-occurrence matrix

A gray-scale co-occurrence matrix and facial expression recognition technology, applied in the field of facial expression recognition, can solve the problems of long time, high complexity, and large amount of calculation in the facial expression recognition process.

Active Publication Date: 2015-10-28
BEIJING UNIV OF TECH
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Problems solved by technology

[0005] However, since the expression features extracted by Gabor wavelets often have high dimensions, various feature extraction algorithms combined with Gabor wavelets have the disadvantages of large amount of calcu

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  • Facial expression identification method based on Gabor wavelet and gray-level co-occurrence matrix
  • Facial expression identification method based on Gabor wavelet and gray-level co-occurrence matrix
  • Facial expression identification method based on Gabor wavelet and gray-level co-occurrence matrix

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Embodiment Construction

[0050] The technical scheme that the present invention takes is:

[0051] A facial expression recognition algorithm based on Gabor wavelet and gray co-occurrence matrix. This method first extracts the "pure face" area in the expression image by manual segmentation, and performs color image grayscale, histogram equalization and scale normalization; then a new method based on Gabor wavelet and The expression feature extraction algorithm of the gray-level co-occurrence matrix, through a method of extracting Gabor feature statistics in blocks, greatly reduces the data redundancy of traditional Gabor features, and introduces the gray-level co-occurrence matrix reflecting image texture features into expression recognition for the first time field, to make up for the lack of pixel spatial correlation caused by Gabor feature block processing; finally a set of low-dimensional feature vectors for feature expression is generated, which greatly improves the expression recognition rate on ...

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Abstract

A facial expression identification method based on a Gabor wavelet and a gray-level co-occurrence matrix. According to the method, firstly, a pure face region in an expression image is extracted by a manual partitioning method and color image gray processing, histogram equalization and scale normalization processing are carried out; then data redundancies of conventional Gabor features are greatly reduced by a method for carrying out block extraction on a Gabor feature statistic, and the gray-level co-occurrence matrix which reflects the image texture features is introduced into the field of expression identification for the first time so as to make up the defect of deficiency of pixel spatial relativity, which is caused by Gabor feature block processing; and finally, a set of low-dimension feature vectors for feature expression are generated and on the premise of ensuring a high expression identification rate, the expression identification rate is greatly improved.

Description

technical field [0001] The invention relates to the field of human facial expression recognition, and designs and implements a human facial expression recognition algorithm based on Gabor wavelet and gray level co-occurrence matrix. Background technique [0002] Facial expressions contain rich personal emotional information and are an important way for humans to express emotions. By recognizing facial expressions, computers can understand the corresponding psychological state of humans, so as to better serve all aspects of human life, such as human-computer interaction, intelligent security, medical monitoring, psychological analysis, etc. At present, most expression recognition algorithms are mainly tested on facial expression images with no occlusion in front, and the complete expression information is preserved to a certain extent. However, in real life, facial expressions are often blocked. Coverage by hair, sunglasses, masks, gestures, etc. will cause the loss of facia...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/175G06V40/171
Inventor 刘鹏宇李蕊贾克斌
Owner BEIJING UNIV OF TECH
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