Face recognition system and method

A face recognition system, face recognition technology, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve the problem of slow recognition speed of face recognition system, improve recognition accuracy and real-time performance, generalization Strong ability and good robustness

Inactive Publication Date: 2020-08-25
湖南视觉伟业智能科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The invention provides a face recognition system and method to solve the t

Method used

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  • Face recognition system and method
  • Face recognition system and method

Examples

Experimental program
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Example Embodiment

[0035] Example one:

[0036] Such as figure 1 As shown, the present invention discloses a face recognition system, which includes: a face acquisition module, a face feature extraction module, a face recognition module, and a face index module; the face acquisition module is used to acquire the information of the person to be identified Face image, and input the face image to the face feature extraction module; the face feature extraction module is used to extract the face feature data of the person to be recognized from the face image, and The face feature data of the person to be recognized is input to the face recognition module; the face recognition module is used to combine the face feature data of the person to be recognized with the samples of known identities stored in the face index module The data is similarly matched, and the identity of the person to be recognized is determined according to the result of the similarity matching; the facial feature extraction module is ...

Example Embodiment

[0042] Embodiment two:

[0043] The second embodiment is a preferred embodiment of the first embodiment. The difference from the first embodiment is that the structure and function of the face recognition system are expanded, and the steps of the face recognition method are refined:

[0044] In this embodiment, as figure 2 As shown, a face recognition system is disclosed, including:

[0045] A video acquisition module, which collects a video sequence of an identified person through a camera, and inputs the video sequence into the face detection module;

[0046] The face detection module, which runs in ARM, performs face detection directly from the video sequence, that is, detects the face image of the person to be recognized from the video sequence, and inputs the face image The facial feature extraction module;

[0047] A facial feature extraction module, which extracts facial feature data of a person to be recognized from the face image, and inputs the facial feature data of the per...

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Abstract

The invention discloses a face recognition system and method. The face recognition system comprises a face acquisition module, a face feature extraction module, a face recognition module and a face index module. The face acquisition module is used for acquiring a face image of a person to be recognized; the face feature extraction module is used for extracting face feature data of a person to be recognized from the face image; the face recognition module is used for carrying out similarity matching on the face feature data of the person to be recognized and the sample data of the known identity stored in the face index module; the face feature extraction is used for replacing a deep neural network formed by a global average pooling layer of the lightweight neural network with the GDConv Block based on a lightweight neural network; the neural network is deeper, stronger in generalization ability and better in robustness, the face feature data of the person to be recognized can be rapidly extracted on the basis of ensuring the accuracy, and then the identity of the person to be recognized can be rapidly and accurately recognized.

Description

technical field [0001] The invention relates to the field of face recognition, in particular to a face recognition system and method. Background technique [0002] Face recognition technology is a very important identity authorization technology. In recent years, this technology has been increasingly used in mobile devices and embedded devices based on ARM (Advanced RISC Machines, a 32-bit reduced instruction set processor architecture) chip Get applications in, such as device unlocking, application login, mobile payment and so on. Some mobile devices and embedded devices have been equipped with face recognition technology, such as smartphone unlocking, high-speed rail station entrance gates, and community face access control, all of which must be run offline. In order to obtain a better user experience with limited computing resources, face recognition models need to be deployed locally on these devices, which imposes higher requirements on the accuracy and performance of ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G07C9/37G06N3/08G06N3/04
CPCG07C9/37G06N3/08G06V40/161G06V40/168G06N3/045G06F18/22
Inventor 夏东黎佳志
Owner 湖南视觉伟业智能科技有限公司
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