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
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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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