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Face silence living body detection method and device, terminal and storage medium

A living body detection and living body technology, applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve the problems of poor operation, poor friendliness, not in line with the development trend of mobile terminal popularization, etc., to achieve smooth processing and improve The effect of detection accuracy

Inactive Publication Date: 2021-04-06
山东山大鸥玛软件股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, the existing face detection methods based on deep learning are generally suitable for computers with better memory and processing performance, and are less friendly to mobile terminals with lower memory and processing performance. The development trend of the terminal becoming more and more popular

Method used

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  • Face silence living body detection method and device, terminal and storage medium
  • Face silence living body detection method and device, terminal and storage medium
  • Face silence living body detection method and device, terminal and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043]Such asfigure 1 As shown, this embodiment provides a human face silent vivo detection method, including the following steps:

[0044]S1, to detect the human face image input to the people's face image to detect, obtain the first classification confidence value;

[0045]S2, will detect the human face image input to the Mobilenetv3-Large network model to detect, obtain the second classification confidence value;

[0046]S3, the average degree of confidence value is obtained for the first classification confidence value and the second classification confidence value;

[0047]S4, it is determined whether the average confidence value exceeds the pre-set reliability threshold. If the output result is a living body, if the output result is an inactive.

[0048]The present invention adopts the Mobilenetv3 network model for human face silent vivo detection, suitable for mobile terminals; and based on the average value of two confidence, the Mobilenetv3-SMALL network model is implemented to assist the...

Embodiment 2

[0080]Such asFigure 4 As shown, on the basis of the embodiment, the present embodiment provides a human face silent living body detecting device, including the following functional modules:

[0081]The first detection module 101: detects the MobileNetv3-Small network model to be detected to be detected to obtain the first classification confidence value;

[0082]Second Detection Module 102: Detects the people's face image to be detected by the MobileNetv3-Large network model to obtain the second classification confidence value;

[0083]The average confidence value calculation module 103: the first classification confidence value and the second classification confidence value obtain average average confidence value;

[0084]The living determination module 104: determines whether or not the average confidence value exceeds the pre-set reliability threshold, if the output result is a living body, if it is not exceeded, the output is an inactive.

[0085]In order to obtain a face image to be detected,...

Embodiment 3

[0090]This embodiment provides a terminal that includes a processor and a memory.

[0091]Memory is used to store the execution instruction of the processor. Memory can be implemented by any type of volatile or non-volatile storage terminal or a combination thereof, such as a static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), can be erased programmable Read-only memory (EPROM), programmable read only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, disk or disc. When the execution instruction in the memory is executed by the processor, the terminal can perform some or all of the steps in the above method embodiment.

[0092]The processor is the control center of the storage terminal, and various portions of the entire electronic terminal are connected by various interfaces and lines, and the software programs and / or modules stored in the memory are operated by running or executing data stored in the memory, and the data...

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Abstract

The invention discloses a face silence living body detection method and device, a terminal and a storage medium, and the method comprises the steps: inputting a to-be-detected face image into a MobileNet-V3Small network model for detection, and obtaining a first classification confidence value; inputting the face image to be detected into the MobileNetV3-Large network model for detection to obtain a second classification confidence value; averaging the first classification confidence value and the second classification confidence value to obtain an average confidence value; and judging whether the average confidence value exceeds a preset confidence threshold, if so, outputting a result as a living body, and if not, outputting a result as a non-living body. According to the invention, the detection algorithm is more suitable for the mobile terminal with low memory and processing performance, the processing process is smoother, and the detection precision is improved.

Description

Technical field[0001]The present invention relates to the field of human face silent living body detection, and more particularly to a human face silent vivo detecting method, apparatus, terminal, and storage medium.Background technique[0002]In different biometric identification methods, face recognition has its own special advantages: non-invasive, convenient, friendliness, non-contact, scalability. Face recognition technology uses the uniqueness of human biometric character to identify, and it is applied in terms of identity authentication and autonomous sign-in, and the authorization after face recognition tends to be unison. However, the human face biometric character cannot be used as a safe key, because a photo, video and other multimedia media with human face biometrics are easily collected, which brings a lot to the system security. Threats, and cause great losses to society and individuals, therefore designed a high detection accuracy, short consumption, strong robustness, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/161G06F18/214
Inventor 马磊陈义学夏彬彬侯庆
Owner 山东山大鸥玛软件股份有限公司
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