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A face recognition system and method based on depth learning

A face recognition system and deep learning technology, applied in a variety of biometric applications, biometric recognition, character and pattern recognition, etc., can solve the problems of complex algorithms and low recognition efficiency, achieve simple algorithms and improve face recognition. Efficiency, quantity reduction effect

Inactive Publication Date: 2019-02-22
SHAOXING UNIVERSITY
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Problems solved by technology

However, the face recognition method algorithm in the prior art is very complex, the recognition efficiency is not high, and it still cannot meet people's needs.

Method used

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  • A face recognition system and method based on depth learning
  • A face recognition system and method based on depth learning
  • A face recognition system and method based on depth learning

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Embodiment Construction

[0049] In order to describe the technical content of the present invention more clearly, further description will be given below in conjunction with specific embodiments.

[0050] Such as figure 1 As shown, in order to solve the technical problems in the prior art, the present invention provides a face recognition system based on deep learning, including the following modules:

[0051] The height acquisition module 100 is configured to acquire the height data of the person to be identified from the height measuring instrument.

[0052] The weight acquisition module 200 is configured to acquire the weight data of the person to be identified from the weight measuring instrument.

[0053] The sample image library 300 is used to store multiple sample images, identification information of each sample image, feature vector of each sample image, height data corresponding to each sample image, and weight data corresponding to each sample image.

[0054] The sample image screening modu...

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Abstract

The invention relates to a face recognition system and a face recognition method based on depth learning, which comprises a height obtaining module; a weight acquisition module; a sample image libraryfor storing a plurality of sample images, identification information of each sample image, feature vectors of each sample image, height data corresponding to each sample image, and weight data corresponding to each sample image; a sample image screening module for selecting an alternative sample image from the sample image library according to the height data and the weight data; a camera angle adjust module; a face region image extraction module; a feature recognition module; an identity recognition module, configured to determine the identity recognition information corresponding to the face area image to be recognized; and alarm module. The invention utilizes the height data and the weight data to screen the sample images in the sample image library, reduces the number of the comparedsample images, improves the image processing speed, improves the face recognition efficiency, and has simple algorithm and convenient application.

Description

technical field [0001] The present invention relates to the technical field of data processing, and specifically refers to a face recognition system and method based on deep learning. Background technique [0002] With the development of society, machine learning algorithms are more and more applied to our daily life. Adopting machine learning can greatly improve the efficiency of data processing in various industries. There are already many methods of face recognition, and face recognition can be applied to various scenarios and industries to realize the identification of personnel. However, the algorithm of the face recognition method in the prior art is very complicated, the recognition efficiency is not high, and it still cannot meet people's needs. Contents of the invention [0003] The present invention provides a face recognition system and method based on deep learning, which aims to overcome the defects in the prior art, use height data and weight data to screen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/172G06V40/168G06V40/70
Inventor 李荣花
Owner SHAOXING UNIVERSITY
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