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Identity recognition system

A technology for identification and terminal equipment, applied in the field of biometrics, can solve the problems of reducing the practicability of face recognition, achieve the effect of efficient and fast authentication, flexible design structure, and ensure accuracy

Inactive Publication Date: 2019-07-05
咪付(广西)网络技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the actual application of face recognition, in addition to high requirements for recognition accuracy, it also requires high efficiency, especially in places where the flow of people tends to be dense, such as stations, airports, parking lots, large-scale exhibitions, and tourist attractions. Once slowed down, the practicality of face recognition will be greatly reduced

Method used

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Experimental program
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Embodiment 1

[0030] Such as figure 1 As shown, an identity recognition system of the present invention includes: a terminal device and a back-end controller, and the terminal device and the back-end controller communicate through a network connection.

[0031] The terminal device includes an image acquisition module, a living body detection module, a distance measurement module, an image preprocessing module 1, an image preprocessing module 2 and a feature extraction module. The image acquisition module is responsible for collecting user's character images. Preferably, a binocular camera is used to collect characters Images, person images are full-body person images, and more comprehensive person feature information can be obtained by collecting whole-body person images, so as to obtain higher recognition accuracy; the living body detection module is used for live body detection of users to effectively prevent photos, videos, etc. Fraud, preferably, liveness detection is performed by combi...

Embodiment 2

[0039] figure 2 It is a structural diagram of the identification system of another embodiment of the present invention. The difference from Embodiment 1 is that the feature extraction module and image preprocessing module 2 of this embodiment are set on the back-end controller, and the image recognition preprocessing and character feature extraction operations are completed by the back-end controller, so the computing resources of the terminal equipment are greatly reduced. The requirements are lower, but the requirements for network bandwidth are relatively high.

[0040] The identity recognition method using the identity recognition system of this embodiment differs from Embodiment 1 in that after the terminal device completes basic image preprocessing, it sends the basic preprocessed image to the back-end controller, and the back-end controller performs image processing. Recognition preprocessing and character feature extraction operations, subsequent recognition steps ar...

Embodiment 3

[0043] image 3 It is a structural diagram of an identity recognition system according to yet another embodiment of the present invention. In this embodiment, the identity recognition system of the present invention is applied to the identity recognition of subway passengers passing through gates. Such as image 3 As shown, the subway gate passing system based on the identity recognition system of the present invention includes: terminal equipment, site controller, back-end controller, advertisement management platform, ticketing management platform and gate equipment, wherein the gate equipment is divided into entry gates equipment and exit gate equipment. Specifically, the terminal equipment is respectively installed on the entrance gate equipment and the exit gate equipment, the terminal equipment communicates with the gate equipment through a serial port connection, the site controller communicates with the terminal equipment and the back-end controller through a network...

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Abstract

The invention discloses an identity recognition system. The identity recognition system comprises a terminal device and a rear-end controller. The terminal device is connected and communicated with the rear-end controller through a network. The terminal device comprises an image acquisition module, a living body detection module, a distance measurement module and an image preprocessing module 1. The rear-end controller comprises a training module, an identification module and a storage module; the system further comprises a feature extraction module and an image preprocessing module 2. The feature extraction module and the image preprocessing module 2 are arranged on the terminal device or the rear-end controller. By means of the system, the user identity can be efficiently recognized, theaccuracy and authenticity of the user identity are ensured, efficient and rapid authentication and passing are helped to be achieved, other auxiliary recognition and judgment such as identity certificates do not need to be combined, and convenience is brought to the user. The system is flexible in design architecture and high in service efficiency, and can meet the identification requirements ofdifferent user quantities and different networks and computing resources.

Description

technical field [0001] The invention relates to the technical field of biological identification, in particular to an identification system. Background technique [0002] In recent years, with the rapid development of information technology and the advent of the era of big data, the application market of biometric technology has grown rapidly, especially the application of face recognition technology is more prominent and typical. Since 2016, face recognition has frequently been used in banking, securities, finance, transportation, education, e-commerce and other scenarios, setting off a wave of new generation intelligent identification, bringing people a convenient experience of smart life and helping to improve work efficiency. [0003] However, the accuracy of face recognition is easily affected by many aspects. On the one hand, due to the slight changes in the growth and expression of the face, there will be great differences in the visual image of the face, which will ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/32
CPCG06F21/32
Inventor 代豪林立强黄紫丞
Owner 咪付(广西)网络技术有限公司
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