Multi-certificate type synchronous detection method and device, computer equipment and storage medium

Abstract

The invention discloses a multi-certificate type synchronous detection method and device, computer equipment and a storage medium, and the method comprises the steps: receiving a certificate detectioninstruction, and obtaining a to-be-detected image file containing a detection number; determining a check list and a certificate detection model corresponding to the check list according to the detection number of the to-be-detected image file and a preset number rule; wherein the check list comprises a plurality of certificate types; inputting all the to-be-detected image pieces into the certificate detection model, and obtaining an output identification result of a certificate type list containing all the to-be-detected image pieces by extracting certificate features; and when the certificate type contained in the check list is completely consistent with the certificate type in the certificate type list, determining that the detection is qualified, and meanwhile, marking as a detected image file and storing the detected image file in a database. Multiple certificate types can be rapidly and synchronously detected, so that the detection efficiency is improved, and the cost is reduced.

Description

technical field [0001] The invention relates to the field of image detection, in particular to a multi-certificate type synchronous detection method, device, computer equipment and storage medium. Background technique [0002] With the development of the credit society, more and more application scenarios (such as: application scenarios involving finance, insurance, non-performing assets, and security) need to provide multiple documents at the same time (such as: ID card, household registration, real estate certificate, bank card) to verify the identity of the user. Since the review of the image data of various documents is mainly through manual verification, and the image quality of the image data is uneven, therefore, relying only on professionals for manual verification will undoubtedly waste huge manpower and material resources. Moreover, in the existing technology, it is often only possible to input an image file containing a photo of a certificate and identify it thro...

AI Technical Summary

Problems solved by technology

Since the review of the image data of various documents is mainly through manual verification, and the image quality of the image data is uneven, therefore, relying only on professionals for manual verification will undoubtedly waste huge manpower and material resources

Moreover, in the existing technology, it is often only possible to input an image file containing a photo of a certificate and identify it through traditional OCR technology. Effective identification, as such, has limitations in application

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