A method and system for identifying financial instruments

By employing a dual-layer verification mechanism that combines explicit anti-counterfeiting detection and background randomness detection, the problem of anti-copying verification in financial instrument identification is solved, enabling accurate identification and anti-counterfeiting verification of duplicates.

CN122200719APending Publication Date: 2026-06-12HUBEI OPEN UNIV (HUBEI SCI & TECH VOCATIONAL COLLEGE) +1
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Patent Information

Application Number
CN202610310502.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-13
Publication Date
2026-06-12

AI Technical Summary

Technical Problem

Existing technologies are insufficient to effectively distinguish between genuine and counterfeit financial instruments, especially when replicas and genuine instruments have similar character information and appearance features. Traditional identification technologies are unable to prevent the identification of replicas.

Method used

A dual-layer verification mechanism is adopted, which combines explicit anti-counterfeiting detection and background pattern randomness detection. The explicit anti-counterfeiting feature results are obtained through explicit anti-counterfeiting detection, and the background pattern detection area is determined according to the background pattern distribution. Background pattern randomness detection is then performed, and finally, the results of both are combined to verify the anti-counterfeiting of the invoice.

Benefits of technology

It achieves multi-dimensional anti-counterfeiting integration for financial instruments, effectively identifies counterfeits, avoids redundant calculations, and improves the accuracy and reliability of anti-counterfeiting verification.

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Abstract

The present application relates to the technical field of image recognition, and in particular to a financial bill identification method and system, which first acquires a bill image of a target financial bill, then performs overt anti-counterfeiting detection on the bill image to obtain an overt anti-counterfeiting detection result, then obtains a watermark detection region according to the watermark distribution of the bill image, performs watermark randomness detection on the watermark detection region in the bill image to obtain a watermark randomness detection result, and finally obtains a bill anti-counterfeiting verification result according to the overt anti-counterfeiting detection result and the watermark randomness detection result. The present application realizes multi-dimensional anti-counterfeiting fusion through the double-layer verification mechanism of overt anti-counterfeiting detection combined with watermark randomness detection, deeply excavates the randomness of the watermark, which is a core anti-counterfeiting mark that is hidden and cannot be copied, and solves the problem of anti-copying verification in the identification of financial bills in the prior art.
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