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Micro-expression-based risk identification method and device, equipment and medium

A technology of expression recognition and risk recognition, which is applied in the field of face recognition, can solve the problem of low credibility of risk control results, achieve better auxiliary effects, assist risk control, and improve accuracy

Pending Publication Date: 2018-09-14
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Embodiments of the present invention provide a micro-expression-based risk identification method, device, equipment, and medium to solve the current problem of low credibility of risk control results caused by ignoring changes in lenders' micro-expressions

Method used

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  • Micro-expression-based risk identification method and device, equipment and medium
  • Micro-expression-based risk identification method and device, equipment and medium
  • Micro-expression-based risk identification method and device, equipment and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] figure 1 A flow chart showing the micro-expression-based risk identification method in this embodiment. The micro-expression-based risk identification method can be applied to financial institutions such as banks, securities, insurance, etc., and can effectively assist the credit reviewer to control the risk of the lender, so as to determine whether to grant loans to the lender. Such as figure 1 As shown, the risk identification method based on micro-expressions includes the following steps:

[0030] S10: Acquire video data to be recognized, where the video data to be recognized includes at least two frames of video images to be recognized.

[0031] Wherein, the video data to be recognized refers to video data obtained after preprocessing the original video data. Among them, the original video data is the unprocessed video data used to record the credit review process of the lender. The video data to be identified is video data composed of at least two frames of vid...

Embodiment 2

[0116] Figure 6 A functional block diagram of a micro-expression-based risk identification device corresponding to the micro-expression-based risk identification method in Embodiment 1 is shown. Such as Figure 6 As shown, the risk identification device based on micro-expressions includes a video data acquisition module 10 to be identified, a video data division module 20 to be identified, a standard expression recognition result acquisition module 30, a test expression recognition result acquisition module 40 and a risk identification result acquisition module 50 . Wherein, the implementation functions of the video data acquisition module 10 to be identified, the video data division module 20 to be identified, the standard expression recognition result acquisition module 30, the test expression recognition result acquisition module 40 and the risk identification result acquisition module 50 are the same as those in Embodiment 1 based on micro The steps corresponding to the...

Embodiment 3

[0145] This embodiment provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the micro-expression-based risk identification method in Embodiment 1 is implemented. In order to avoid repetition, it is not repeated here Let me repeat. Alternatively, when the computer program is executed by the processor, the functions of each module / unit in the micro-expression-based risk identification device in Embodiment 2 are realized, and to avoid repetition, details are not repeated here.

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Abstract

The invention discloses a micro-expression-based risk identification method and device, equipment and a medium. The micro-expression-based risk identification method comprises: to-be-identified videodata are obtained, wherein the to-be-identified video data include at least two frames of to-be-identified video images; the at least two frames of to-be-identified video images are classified into abasic problem feature set and a sensitive question feature set; each frame of to-be-identified video image in the basic problem feature set is inputted into at least two pre-trained micro-expression recognition models for identification and corresponding standard expression recognition results are obtained; each frame of to-be-identified video image in the sensitive question feature set is inputted into at least two pre-trained micro-expression recognition models for identification and thus corresponding testing expression recognition results are obtained; and on the basis of the standard expression recognition results and the testing expression recognition results, a risk identification result is obtained. With the micro-expression-based risk identification method disclosed by the invention, problems of low result trustiness and poor auxiliary effect of the current risk control result can be solved.

Description

technical field [0001] The present invention relates to the field of face recognition, in particular to a micro-expression-based risk recognition method, device, equipment and medium. Background technique [0002] In the financial industry, the issuance of each loan fund requires risk management and control (ie, risk control) to determine whether the loan can be issued to the lender. A key step in the traditional risk control method of the financial industry is the face-to-face communication between the credit reviewer and the lender to determine the accuracy of the information provided by the lender during the loan process, thereby determining its loan risk. However, in the process of face-to-face communication, the credit examiner may ignore some subtle changes in the lender’s facial expressions due to inattention or lack of understanding of people’s facial expressions. Psychological activities (such as lying) make the risk control results issued by the credit reviewer le...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06Q40/02G06N3/04
CPCG06V40/175G06V20/40G06N3/045G06Q40/03G06N3/08G06N20/20G06V40/174G06V40/193G06V10/454G06V10/82G06N5/01G06N3/048G06F18/24133
Inventor 戴磊张国辉
Owner PING AN TECH (SHENZHEN) CO LTD
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