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Human living body detection method and device based on human brain intelligence and man-machine interaction

A human-computer interaction and living body detection technology, applied in the input/output of user/computer interaction, computer components, mechanical mode conversion, etc.

Inactive Publication Date: 2015-10-07
GUANGDONG MICROPATTERN SOFTWARE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] All in all, it is very easy for humans to distinguish between living and non-living human bodies, but for machines, it is very difficult

Method used

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  • Human living body detection method and device based on human brain intelligence and man-machine interaction
  • Human living body detection method and device based on human brain intelligence and man-machine interaction
  • Human living body detection method and device based on human brain intelligence and man-machine interaction

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Experimental program
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Embodiment 1

[0054] See figure 1 , figure 1 It is a flow chart of a human living body detection method based on human brain intelligence and human-machine exchange in Embodiment 1 of the present invention. figure 1 The shown human body living body detection method based on human brain intelligence and human-machine exchange is applied to terminal equipment, and the terminal equipment includes mobile phones, notebook computers, tablet computers, handheld Internet devices, multimedia devices, streaming media devices, servers or other devices connected to the cloud Connected smart devices, etc., terminal equipment include but are not limited to the above examples.

[0055] Such as figure 1 As shown, the method includes the following steps:

[0056] Step S1, the command database of the system or terminal stores various command questions in advance, the system or terminal randomly calls the command questions in the command database, and requires the user to answer the commands given by the s...

Embodiment 2

[0085] See figure 2 , figure 2 It is a flow chart of the human body living body detection method for answering by voice in the second embodiment. In the second embodiment, the system or the terminal randomly prompts the user to answer the command questions randomly invoked by the system or the terminal in a voice response manner.

[0086] Such as figure 2As shown, the system or terminal first randomly selects the instruction topic from the preset instruction database, and stipulates that the user expresses the correct result in the form of voice within the specified time. The system or terminal enters the user's voice information and undergoes a series of preprocessing. , preprocessing includes sampling, denoising, quantization, etc. of the speech signal; framing processing, pre-emphasis, windowing processing, endpoint detection, etc., to filter out some unimportant information and noise; then extract feature parameters, which are more commonly used The characteristic pa...

Embodiment 3

[0088] See image 3 , image 3 It is a flow chart of the human body living body detection method in the third embodiment using finger touch to select the correct answer. In the third embodiment, the system or the terminal randomly prompts the user to touch with a finger to select the correct answer, and to answer the instruction question randomly invoked by the system or the terminal.

[0089] Such as image 3 As shown, the system or terminal first randomly selects the instruction topic from the preset instruction database, and stipulates how the user touches with the finger within the specified time, selects the correct answer, and the terminal enters the user's touch information. First, preprocess the recorded image (such as filtering, etc.) to reduce the interference of glitches and other external environments on the image; then perform contact detection and tracking. The contact tracking adopts the motion tracking algorithm. Firstly, the newly appearing and disappearing...

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PUM

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Abstract

The invention discloses a human living body detection method based on human brain intelligence and man-machine interaction. The human living body detection method comprises the following steps: randomly transferring an instruction subject which is pre-configured in an instruction database in advance, and randomly setting a response mode; acquiring user response information and verifying the response mode and a response result; and if the response mode and the response result of the instruction subject are matched successfully, judging that a response user is a human living body. According to the method, the subject is appointed randomly to enable the user to answer in regulated time by the randomly-appointed response mode, and the transmitted instruction subject can be answered through the brain thinking of the user, so that an impostor can not adopt manners such as pure voice and / or video synthesis or editing and the like to cheat a human living body detection system. According to the human living body detection method, lawless persons can be effectively prevented from carrying out impersonation attacks through various means, so that the human living body detection system becomes more effective and reliable.

Description

technical field [0001] The invention relates to the technical field of computer application and image recognition, in particular to a method and device for detecting human body living body based on human brain intelligence and human-computer interaction. Background technique [0002] The demand for commercial application of identity verification is becoming more and more intense, and people have taken biometric technology as an important means of identity verification. Human biological characteristics include physiological characteristics and behavioral characteristics. Physiological characteristics usually include face, fingerprint, iris, retina, palmprint, hand shape, voice, DNA, auricle shape, etc.; behavioral characteristics usually include handwriting, gait, etc. However, the problem of counterfeiting poses a great threat to authentication systems based on human biometrics. Counterfeiters can attack existing biometric-based identity verification systems by using fake f...

Claims

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Application Information

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IPC IPC(8): G06F3/01
Inventor 陈友斌万琛
Owner GUANGDONG MICROPATTERN SOFTWARE CO LTD
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