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Living body detection method and device based on deep learning and storage medium

A deep learning and live detection technology, applied in the field of information recognition, can solve problems such as poor generalization ability, cumbersome implementation, and difficulty, and achieve the effect of strong generalization ability, poor generalization ability, and simple and reliable process.

Pending Publication Date: 2021-01-29
北京中关村科金技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Embodiments of the present disclosure provide a living body detection method, device and storage medium based on deep learning, so as to at least solve the problems of poor generalization ability and cumbersome implementation in existing living body detection methods existing in the prior art. technical problem

Method used

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  • Living body detection method and device based on deep learning and storage medium
  • Living body detection method and device based on deep learning and storage medium
  • Living body detection method and device based on deep learning and storage medium

Examples

Experimental program
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Embodiment 1

[0024] According to this embodiment, a method embodiment of a living body detection method based on deep learning is provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions , and, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0025] The method embodiment provided in this embodiment can be executed in a mobile terminal, a computer terminal or a similar computing device. figure 1 It shows a hardware structural block diagram of a computer terminal (or mobile device) for implementing a deep learning-based living body detection method. Such as figure 1 As shown, the computer terminal 10 (or mobile device 10) may include one or more (shown by 102a, 102b, ..., 102n in the figure) processors 102 (processor 102 may include but not li...

Embodiment 2

[0061] Figure 4 The deep learning-based living body detection device 400 according to this embodiment is shown, and the device 400 corresponds to the method according to the first aspect of the first embodiment. refer to Figure 4 As shown, the device 400 includes: an acquisition module 410, configured to acquire a video related to the object to be identified, wherein the video includes an image of the mouth area of ​​the object to be identified, wherein the video is obtained by reading the first text information on the object to be identified The video obtained by shooting the object to be recognized in the process; the recognition module 420 is used to use the recognition model based on deep learning training to recognize the mouth area image and generate lip information; and the determination module 430 is used to according to The lip information and the first text information determine whether the object to be recognized is a living body.

[0062] Optionally, the recogn...

Embodiment 3

[0071] Figure 5 A deep learning-based living body detection device 500 according to this embodiment is shown, and the device 500 corresponds to the method according to the first aspect of Embodiment 1. refer to Figure 5 As shown, the device 500 includes: a processor 510; and a memory 520, connected to the processor 510, used to provide the processor 510 with instructions for processing the following processing steps: acquiring a video related to the object to be identified, wherein the video contains the object to be identified Identify the mouth area image of the object, wherein the video is obtained by shooting the object to be identified when the object to be identified reads the first text information; use the recognition model based on deep learning training to generate the image of the mouth area Corresponding lip information; and determining whether the object to be recognized is a living body according to the lip information and the first text information.

[0072]...

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PUM

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Abstract

The invention discloses a living body detection method and device based on deep learning and a storage medium. The method comprises the steps that a video related to a to-be-recognized object is acquired, the video comprises a mouth area image of the to-be-recognized object, and the video is obtained by shooting the to-be-recognized object in the process that the to-be-recognized object reads first text information; lip language information corresponding to the mouth area image is generated by using a recognition model based on deep learning training; and whether the to-be-identified object isa living body or not is judged according to the lip language information and the first text information. The whole lip language living body detection method based on deep learning has the advantagesof being high in generalization ability, simple and reliable in process and high in recognition accuracy.

Description

technical field [0001] The present application relates to the field of information identification, in particular to a deep learning-based living body detection method, device and storage medium. Background technique [0002] Liveness detection is a method to determine the real physiological characteristics of an object in some authentication scenarios. In face recognition applications, liveness detection can use facial key point positioning and face tracking technologies through combined actions such as blinking, opening mouth, shaking head, and nodding. , to verify whether the user is operating as a real living person. It can effectively resist common attack methods such as photos, face changes, masks, occlusions, and screen recaptures, so as to help users identify fraudulent behavior and protect users' interests. There are currently two main methods for using mouth information for liveness detection: [0003] One method is to extract several video frames from the human f...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/171G06V40/45
Inventor 孔志飞赵幸福赵立军
Owner 北京中关村科金技术有限公司