Human face silence living body detection method and device, readable storage medium and equipment

A living body detection and living body technology, applied in the field of face recognition, can solve problems such as time-consuming and reduce user experience, and achieve the effect of improving performance, avoiding overfitting, and having good user experience.

Pending Publication Date: 2020-10-30
BEIJING TECHSHINO TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

On the one hand, this method requires the user to cooperate according to the system's instructions, which reduces the user experience; on the other hand,

Method used

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  • Human face silence living body detection method and device, readable storage medium and equipment
  • Human face silence living body detection method and device, readable storage medium and equipment
  • Human face silence living body detection method and device, readable storage medium and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0066] The implementation of the present invention provides a face silent living detection method, such as figure 1 As shown, the method includes:

[0067] Step S100': train a pre-built classification model, wherein:

[0068] The classification model includes several layers of convolutional neural networks. Each convolutional neural network in the previous layer corresponds to two convolutional neural networks in the latter layer. A convolutional neural network in the previous layer can input the convolutional neural network. The face image of the neural network is classified into two types: living body and prosthesis. The first of the two neural networks corresponding to the neural network in the previous layer can be classified as fake by the convolutional neural network in the previous layer. The face image of the body continues to be classified into two categories: living body and prosthesis, and the second of the two neural networks corresponding to the previous layer of...

Embodiment 2

[0137] The embodiment of the present invention provides a silent face detection device, such as Image 6 As shown, the device includes:

[0138] A training module 10' for training a pre-built classification model, wherein:

[0139] The classification model includes several layers of convolutional neural networks. Each convolutional neural network in the previous layer corresponds to two convolutional neural networks in the latter layer. A convolutional neural network in the previous layer can input the convolutional neural network. The face image of the neural network is classified into two types: living body and prosthesis. The first of the two neural networks corresponding to the neural network in the previous layer can be classified as fake by the convolutional neural network in the previous layer. The face image of the body continues to be classified into two categories: living body and prosthesis, and the second of the two neural networks corresponding to the previous la...

Embodiment 3

[0174] The methods described in the above embodiments provided in this specification can implement business logic through a computer program and record them on a storage medium, and the storage medium can be read and executed by a computer to achieve the effects of the solution described in Embodiment 1 of this specification. Therefore, the present invention also provides a computer-readable storage medium for silent face detection, including a memory for storing processor-executable instructions, and when the instructions are executed by the processor, the method for silent face detection in Embodiment 1 is implemented. A step of.

[0175] The invention mainly solves the problem of anti-counterfeiting of the printing-type prosthesis and the screen-type prosthesis. The present invention is the silent living body detection of the face. The silent living body detection of the human face means that it does not require any user cooperation, and only needs to input a face image int...

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Abstract

The invention discloses a face silence living body detection method and device, a computer readable storage medium and equipment, and belongs to the field of face recognition. The method comprises thefollowing steps: training a pre-constructed classification model; acquiring a face image to be subjected to living body detection and preprocessing the face image; and inputting the preprocessed faceimage into a classification model to obtain a living body detection result, wherein the classification model comprises a plurality of layers of convolutional neural networks; each convolutional neural network in the previous layer corresponds to two convolutional neural networks in the next layer; wherein the convolutional neural network of the previous layer can classify the face image into a living body type and a prosthesis type, and the convolutional neural network of the next layer further classifies the result (especially the result of wrong classification) of the convolutional neural network of the previous layer after classification. And so on, the classification result of the last layer of convolutional neural network is the living body detection result. The face silence living body detection method does not need user cooperation, and is good in user experience, high in speed and accurate in classification.

Description

technical field [0001] The present invention relates to the field of face recognition, in particular to a method, device, computer-readable storage medium and device for silent face detection. Background technique [0002] With the application of face recognition systems in finance, security and other fields, such as face payment, face unlocking, etc., more and more problems of face prosthesis attacks appear. The face prosthesis attack mainly refers to the use of a prosthetic face to attack the face recognition system, so as to deceive the system and obtain relevant permissions. There are three main types of prosthetic faces, namely printed prostheses, screen prostheses and 3D mask prostheses. The printed prosthesis refers to the result of reprinting the face after printing on paper, the screen prosthesis refers to the remake of the video image or picture displayed on the electronic screen to obtain the prosthesis image, and the 3D mask prosthesis refers to It is an image ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/172G06V40/45G06F18/24G06F18/214
Inventor 周军王洋
Owner BEIJING TECHSHINO TECH
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