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Anti-fraud identification method, device, server and storage medium

A recognition method and anti-fraud technology, applied in various biometrics, biometrics, character and pattern recognition, etc., can solve the problems of easy misjudgment, successful face recognition, low accuracy, etc., to improve accuracy , the effect of ensuring the safety of property

Inactive Publication Date: 2018-04-24
深圳市分期乐网络科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the two methods of verifying the user's identity provided by the existing technology have defects. Among them, the counterfeit applicant in the recognition of the face uses the 3D software modeling technology to prepare the user's "mask face". , it is easy to misjudgment, resulting in the success of face recognition; or a counterfeit applicant can steal the basic information of the user, such as: user name, family information and work information, etc., can pretend to be the user to apply for credit, potentially making the basic information of the user proofread success
Therefore, the existing technology has low accuracy in verifying user identity fraud, is prone to misjudgment, and easily threatens the user's property security.

Method used

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  • Anti-fraud identification method, device, server and storage medium
  • Anti-fraud identification method, device, server and storage medium
  • Anti-fraud identification method, device, server and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] figure 1 It is a flow chart of the anti-fraud identification method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of identifying illegal behaviors of fraudulent users. This method can be executed by an anti-fraud identification device, which can use software and / or hardware implementation. Such as figure 1 As shown, the method specifically includes:

[0029] S110. When receiving a voice collection instruction sent by the user to be identified, collect a current voice signal input by the user to be identified according to a preset input method.

[0030] In this embodiment, in order to accurately determine the fraudulent behavior, it is first necessary to receive the voice collection instruction sent by the current user to be identified. The current user to be identified can be a user applying for credit, and the user to be identified can input the current voice signal according to the preset input method. Wherein, t...

Embodiment 2

[0046] figure 2It is a flow chart of the anti-fraud identification method provided in Embodiment 2 of the present invention. This embodiment is optimized on the basis of Embodiment 1. The anti-fraud identification method provided in Embodiment 2 also includes: the current frequency value is less than or equal to the preset When the frequency threshold is , the basic information input by the user to be identified is received; when the basic information input by the user to be identified is the same as the pre-saved fraudulent basic information, the user to be identified is identified as a fraudulent user.

[0047] S210. When receiving a voice collection instruction sent by the user to be identified, collect a current voice signal input by the user to be identified according to a preset input mode.

[0048] S220. Extract the current voiceprint feature parameters in the current speech signal; wherein, the current voiceprint feature parameters include: oral cavity feature paramet...

Embodiment 3

[0054] image 3 It is a schematic structural diagram of the anti-fraud device in Embodiment 3 of the present invention. Such as image 3 As shown, the anti-fraud device includes: a receiving module, an extraction module, an acquisition module and an identification module.

[0055] The receiving module 310 is configured to collect a current voice signal input by the user to be recognized according to a preset input mode when receiving a voice collection instruction sent by the user to be recognized.

[0056] The extraction module 320 is used to extract the current voiceprint characteristic parameters in the current voice signal; wherein, the current voiceprint characteristic parameters include: oral cavity characteristic parameters, nasal sound characteristic parameters, tongue-rolled and flattened characteristic parameters or vocal cord characteristic parameters.

[0057] The acquisition module 330 is configured to acquire the current frequency value corresponding to the cur...

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Abstract

The embodiments of the present invention disclose an anti-fraud identification method, an anti-fraud identification device, a server and a storage medium. The method includes the following steps that:when a voice collection instruction sent by a user to be identified is received, current voice signals which are inputted by the user to be identified according to a preset input mode are collected;current voiceprint feature parameters in the current voice signals are extracted, wherein the current voiceprint feature parameters include an oral feature parameter, a nasal feature parameter, blade-alveolar and retroflex feature parameters or vocal cord feature parameters; when the current voiceprint feature parameters are matched with pre-stored fraud voiceprint feature parameters, current frequency values corresponding to the current voiceprint feature parameters are obtained from a database; and when the current frequency values are greater than preset frequency threshold values, the userto be identified is identified as a fraudulent user. With the anti-fraud identification method, anti-fraud identification device, server, and storage medium provided by the embodiments of the presentinvention adopted, the accuracy of the identification of fraudulent behaviors can be improved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of network fraud, and in particular to an anti-fraud identification method, device, server and storage medium. Background technique [0002] With the development of science and technology, the application of e-commerce has become more and more extensive, and the confidentiality, integrity and security of information have been greatly tested. [0003] In the existing fraud identification methods, at present, the identity of the user is mainly verified by recognizing the face or proofreading the basic information of the user. However, the two methods for verifying the user's identity provided by the existing technology have defects. Among them, the counterfeit applicant in the recognition of the face uses the 3D software modeling technology to prepare the user's "mask face". , it is easy to misjudgment, resulting in the success of face recognition; or a counterfeit applicant can stea...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06Q30/00G10L17/00G10L25/51
CPCG06Q30/018G10L25/51G10L17/00G06V40/70
Inventor 苏国立
Owner 深圳市分期乐网络科技有限公司
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