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Face acquisition and recognition method and system and storage medium

A face collection and recognition method technology, applied in the field of face recognition, can solve problems such as fraud and achieve the effect of improving accuracy

Pending Publication Date: 2021-09-21
广州晟烨信息科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The currently popular forms of scanning QR codes, fingerprint recognition, and IDC cards to confirm user identities are likely to cause congestion, substitution, and fraud. The system becomes a problem to be solved by those skilled in the art

Method used

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  • Face acquisition and recognition method and system and storage medium
  • Face acquisition and recognition method and system and storage medium
  • Face acquisition and recognition method and system and storage medium

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0034] Please refer to figure 1 , showing a method for face acquisition and recognition of the present invention, including:

[0035] Step S1: obtain a large amount of face images, extract the face features of the large amount of face images, and mark the corresponding face position points of the face features, and store them in the face database;

[0036] Step S2: trigger the intelligent terminal to carry out face recognition; extract the face features of the face to be recognized;

[0037] Optionally, said extracting the face features of the face to be recognized includes:

[0038] Based on the convolutional neural network, the shape-driven depth model of facial feature points is established;

[0039] Detect faces through the RetinaFace face detection model, and generate multi-layer detection frames of different sizes; the detection frames contain target frames of different sizes; in each layer of detection frames, the face feature point shape-driven depth model is trained...

Embodiment 2

[0077] Please refer to figure 2 , shows a schematic flow chart of a method according to another embodiment of the present invention. Unlike the previous embodiment, the method of the present invention further includes:

[0078] Step S5: compare the facial features of the face to be recognized with the facial features of a certain face image in the face library, and return the similarity between the facial features of the face to be recognized and the facial features of the face image.

[0079] Specifically, the similarity of facial features can be measured by Euclidean distance and cosine distance. When the direct angle θ between two vectors is closer to 0, the closer the two vectors are, the smaller the difference will be. At this time, cosθ=1, that is, the closer the value is to 1, the more similar the faces are.

[0080] Optionally, the method of the present invention also includes:

[0081] When the distance between the position point of the face feature of the face to ...

Embodiment 3

[0085] A kind of face acquisition characteristic training system of the present invention, comprises:

[0086] The human face sample acquisition module is used to obtain a large number of human face images, extract the facial features of the large number of human facial images, and mark the corresponding human face position points of the human face features, and store them in the human face bank;

[0087] The face recognition module is used for face recognition; extracting the face features of the face to be recognized;

[0088] The face matching module obtains the position points of the face features of the face to be recognized; compares the position points of the face features of the face to be recognized with the position points of the face features of n face images in the face database , n is a natural number; when the distance between the position point of the face feature of the face to be recognized and the position point of the face feature of a certain face image in ...

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Abstract

The invention discloses a face acquisition and recognition method and system and a storage medium, and the method comprises the steps: obtaining a large number of face images, extracting the face features of the large number of face images, marking the face position points corresponding to the face features, and storing the face position points in a face library; triggering the intelligent terminal to perform face recognition; extracting face features of the face to be recognized; and when the distance between the position point of the face feature of the to-be-recognized face and the position point of the face feature of a certain face image in the face library is smaller than a first set threshold value, returning character information corresponding to the face image. According to the invention, the position points of the face features of the to-be-recognized face are compared with the position points of the face features of the face image in the face database, so that the identity information of the user can be quickly confirmed.

Description

technical field [0001] The present invention relates to the technical field of face recognition, in particular to a face collection and recognition method, system and storage medium. Background technique [0002] At present, face recognition is a kind of biometric identification technology based on the facial feature information of a person. With the development of its technology and the improvement of social recognition, face recognition is now used in many fields, such as: online payment with facial recognition for online and offline consumption, attendance check in schools or enterprises, and community owners entering and exiting doors without sensing faces. [0003] The currently popular forms of scanning QR codes, fingerprint recognition, and IDC cards to confirm user identities are likely to cause congestion, substitution, and fraud. The system becomes a problem to be solved by those skilled in the art. Contents of the invention [0004] In view of the above techni...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/2414G06F18/2415G06F18/253
Inventor 麦伟彬
Owner 广州晟烨信息科技股份有限公司