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Face convolutional neural network-based traditional Chinese medicine constitution recognition method

A technology of convolutional neural network and recognition method, which is applied in the field of constitution recognition in traditional Chinese medicine, achieves the effect of reduced calculation, high accuracy and strong generalization ability

Inactive Publication Date: 2017-05-24
SOUTH CHINA UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0006] The traditional Chinese medicine constitution discrimination method is judged through one-on-one communication between doctors and patients, which has a certain degree of repeatability.

Method used

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  • Face convolutional neural network-based traditional Chinese medicine constitution recognition method
  • Face convolutional neural network-based traditional Chinese medicine constitution recognition method
  • Face convolutional neural network-based traditional Chinese medicine constitution recognition method

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Embodiment

[0025] like figure 1 Shown: a kind of Chinese medical constitution identification method based on face convolutional neural network of the present invention, comprises the following steps:

[0026] S1, the computer collects face picture data set (the collected face picture data set has a very large amount of data, and each face picture corresponds to nine kinds of TCM constitution types);

[0027] S2. According to the collected face picture data set, a convolutional neural network algorithm is used to extract face features, and extract face color features; then fuse the extracted face features and face color features;

[0028] S3. Perform a classification algorithm on the extracted face features, and the classification algorithm adopts a softmax classification algorithm or an SVM classification algorithm to obtain the corresponding TCM constitution type; in addition, the features obtained by the convolutional neural network algorithm are integrated with the face color feature....

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Abstract

The invention discloses a face convolutional neural network-based traditional Chinese medicine constitution recognition method. The method includes the following steps that: S1, a computer acquires a face picture data set; S2, a convolutional neural network algorithm is adopted to carry out face feature extraction according to the collected face picture data set; and S3, a classification algorithm is adopted to process extracted facial features, wherein the classification algorithm can be a softmax classification algorithm or an SVM (support vector machine) classification algorithm, so that corresponding traditional Chinese medicine constitution types can be obtained. With the face convolutional neural network-based traditional Chinese medicine constitution recognition method of the invention adopted, the defects of traditional Chinese medicine constitution judgment can be eliminated. The method of the invention has the advantages of high accuracy, high recognition speed, stable performance and suitability for the face convolutional neural network.

Description

technical field [0001] The invention relates to the field of TCM physique recognition applied to computers, in particular to a TCM constitution recognition method based on a human face convolutional neural network. Background technique [0002] In China, Chinese medicine has a history of thousands of years of research on disease prevention and physical conditioning. The word "physique" was first seen in the book "Book of Jin · Volume 37 Biography No. 7" in the Jin Dynasty of our country. It is used to describe the physical state of a person. It actually refers to the body, not what we call physique now. Today, most of the "Basic Theory of Traditional Chinese Medicine" textbooks basically agree on the definition of constitution: constitution is the relatively stable inherent characteristics of the human body based on innate endowment and acquired functions (including psychological temperament) and morphological structure. "Traditional Chinese Medicine Physique Classification...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/161G06V40/172G06F18/2411G06F18/2414
Inventor 文贵华郇二洋
Owner SOUTH CHINA UNIV OF TECH
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