Customer identity recognition method and device, equipment and medium

Abstract

The embodiment of the invention provides a customer identity recognition method and device, equipment and a medium, and the method comprises the steps: obtaining customer feature information which comprises single feature recognition information and / or non-single feature recognition information; judging whether single feature identification information exists in the customer feature information ornot; if the single feature identification information does not exist in the client feature information, combining non-single feature identification information in the client feature information to obtain a feature identification combination; searching customer identity information corresponding to the feature recognition combination in a preset recognition mapping library by utilizing the featurerecognition combination, according to the embodiment of the invention, when the single feature identification information exists in the client feature information, the feature combination can still be called to identify the client, so that the possibility of client identification is increased, the client identity identification scheme is enriched, and the requirement on the client information isrelatively low.

Description

technical field [0001] The embodiment of the present invention relates to the technical field of identification, and in particular to a method, device, device, and medium for identifying a customer. Background technique [0002] The existing customer identification basis is relatively single, basically based on specific customer characteristics, such as: mobile phone, mailbox and other attribute characteristics, fingerprints, facial and other physiological characteristics, identity marks in business systems, and so on. In actual use scenarios, a single feature or multiple features are used as the basis for identification, and there is no connection between each feature, which requires high data integrity, and the lack of a key feature will lead to unrecognizable identities . [0003] Therefore, how to provide a customer identity identification scheme that can identify the customer's identity even when some features of the customer are missing is a technical problem to be so...

AI Technical Summary

Problems solved by technology

[0002] The existing basis for customer identification is relatively simple, basically based on specific customer characteristics, such as: attributes such as mobile phone and email, physiological characteristics such as fingerprints and faces, and identity marks in business systems, etc.

In actual use scenarios, a single feature or multiple features are used as the basis for identification, and there is no connection between each feature, which requires high data integrity, and the lack of a key feature will lead to unrecognizable identities

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