Face recognition system based on silent living body detection

A face recognition system and living body detection technology, applied in character and pattern recognition, instruments, digital data authentication, etc., can solve the problems of low recognition speed and precision, poor generalization ability, poor user experience, etc., and achieve data collection consumption The effect of short time, reducing the probability of successful attack, and high recognition accuracy

Pending Publication Date: 2021-09-03
的卢技术有限公司
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AI Technical Summary

Problems solved by technology

[0002] In recent years, face recognition technology has been widely used. In order to prevent malicious people from forging and stealing other people's photos or images for identity authentication and to ensure user safety in face recognition systems, liveness detection is required. Currently, liveness detection is mainly divided into two categories: The class is based on the liveness detection of the image classification m

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  • Face recognition system based on silent living body detection

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Embodiment Construction

[0008] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.

[0009] Such as figure 1 As shown, the face recognition system of the present invention includes a data collection module, a data preprocessing module, a face detection module, a living body detection module and a face recognition module, which can be used in various face recognition scenarios, including access control gates, self-service Identity authentication, unlocking login and attendance etc.

[0010] (1) Data acquisition module

[0011] The camera continuously collects photos of faces, and analyzes in real time whether the brightness of the photos is sufficient, etc. If the user is in a dark environment, turn on the lights of the system to illuminate the user and increase the brightness. During data collection, the user only needs to face the screen for a short period of cooperation, without exaggerated movements.

[0012] (2) Data pr...

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Abstract

The invention discloses a face recognition system based on silent living body detection. The face recognition system comprises a data acquisition module, a data preprocessing module, a face detection module, a living body detection module and a face recognition module; the living body detection module carries out living body detection by using models of three levels, respectively carries out living body or attack classification on the whole photo, carries out living body or attack classification on the face area photo and carries out attack feature detection on the whole photo; the detected objects comprise moire patterns, abnormal light and shadow, mobile phone frames, photograph holding, display light reflection, plastic material light reflection and the like; according to the face recognition system, the attack or the living body can be distinguished only by performing transient shooting on the front face of the user towards the screen, the model in the living body detection module has good generalization ability and high recognition precision, the attack success probability is effectively reduced, the user safety is ensured, and the invention is suitable for various face recognition scenes such as identity authentication and unlocking login.

Description

technical field [0001] The invention relates to a face recognition system, in particular to a face recognition system based on silent living body detection. Background technique [0002] In recent years, face recognition technology has been widely used. In order to prevent malicious people from forging and stealing other people's photos or images for identity authentication and to ensure user safety in face recognition systems, liveness detection is required. Currently, liveness detection is mainly divided into two categories: The class is based on the liveness detection of the image classification model, which needs to collect nearly a million samples to ensure the accuracy of the liveness detection in a limited scene. The generalization ability for scenes other than the data set is poor, and the recognition speed and accuracy are low; another This type is cooperative liveness detection, which requires the user to cooperate to complete actions such as turning the head and b...

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Application Information

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IPC IPC(8): G06K9/00G06F21/32G06F21/36G06N3/04G06N3/08
CPCG06F21/32G06F21/36G06N3/04G06N3/08
Inventor 王龙
Owner 的卢技术有限公司
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