Face recognition verification system and face recognition verification method

A face recognition and verification system technology, applied in character and pattern recognition, instruments, computer components, etc., can solve the problems of increasing illumination robustness, high error rate of face recognition, and low recognition efficiency, so as to reduce human Probability of fake face, lower error rate, good effect

Inactive Publication Date: 2021-11-30
广东开放大学(广东理工职业学院)
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] During the face recognition process, face recognition equipment has relatively high requirements on lighting, but when face recognition equipment performs face recognition work, it is often under complex lighting conditions, and the existing face recognition verification system Among them, it does not have the characteristics of increasing the robustness of illumination under complex illumination conditions, which may easily lead to high error rates and low recognition efficiency in face recognition.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Face recognition verification system and face recognition verification method
  • Face recognition verification system and face recognition verification method
  • Face recognition verification system and face recognition verification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] Such as Figure 1 to Figure 3 As shown, the face recognition verification system described in this embodiment includes preparatory work, which includes a face entry unit 10 for entering the face information of the target group before performing the face recognition operation, specifically, the Described human face input unit 10 is made of input equipment 11, the first information extraction unit 12, cloud database 13, and described input equipment 11 is used for inputting the facial information of target group, and described input equipment 11 is the human face information input equipment, can It is a mobile phone, a tablet computer or other smart devices with a face entry function; the first information extraction unit 12 is used to extract the main features of the entered face information; wherein, the algorithm for extracting the face information is SIFT or SURF, specifically, SIFT extracts a lot of information, but takes a long time; SURF extracts less information, ...

Embodiment 2

[0050] Such as Figure 4 As shown, the face recognition verification method described in this embodiment includes the following steps,

[0051] S00, collecting the face of the target group, storing it, extracting face features, and establishing a face information database for verification;

[0052] S01. Use the face device to collect face image information, and confirm whether there is human face information, if not, the identification and verification work ends;

[0053] S02. Confirm whether the detected face target is alive, such as prompting the detected person to make a corresponding expression or action according to the preset guidance. If it is non-living face information, the following steps are performed,

[0054] S021. Send an early warning to the user, prompting the user to do the next step, and the identification and verification work is completed;

[0055] If it is live face information, the steps are as follows,

[0056] S03. Perform normalized conversion proce...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a face recognition verification system and a face recognition verification method, and relates to the technical field of face recognition. The face recognition verification system comprises a face input unit used for inputting face information of a target crowd before a face recognition operation is executed; a face recognition unit which comprises an illumination enhancement unit used for increasing illumination robustness before face features are converted into characterizable information; a face feature processing unit; and a feature matching unit which calls recognized face feature information from the face feature processing unit. According to the invention, the illumination enhancement unit and a comparing and screening unit are added in the face recognition unit, so that the problem of recognition difficulty caused by weak illumination is solved, the error rate of face recognition is reduced, and the face recognition effect is better compared with a common face recognition system; and the probability of face counterfeiting can be reduced due to the fact that a passive light compensating unit is integrated.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a face recognition verification system and verification method. Background technique [0002] Face recognition is a biometric technology for identification based on human facial feature information. A series of related technologies that use a video camera or camera to collect images or video streams containing human faces, automatically detect and track human faces in the images, and then perform facial recognition on the detected faces, usually also called portrait recognition and facial recognition. . [0003] The face is born with other biological characteristics (fingerprint, iris, etc.) of the human body. Its uniqueness and good characteristics that are not easy to be copied provide the necessary premise for identification. Compared with other types of biometrics, face recognition It has the following characteristics: non-mandatory: users do not need to cooperate ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 唐守军李可
Owner 广东开放大学(广东理工职业学院)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap