Note anti-counterfeiting discrimination method based on fiber personality characteristics

Abstract

The invention discloses a note anti-counterfeiting discrimination method based on fiber personality characteristics, which comprises the following steps of processing a note image obtained by a camera, obtaining a standardized note image; performing image filtering by a maximum filter, converting the multiple types of objects of the note image into two types of objects of gentle region background and fiber target; adopting an optimized two-dimensional entropy segmentation method to segment the note image, detecting the fiber target; extracting the anti-counterfeiting characteristics of the fiber target, wherein the anti-counterfeiting characteristics are one or more of centroidal coordinate, area, curvature and moment characteristics; and performing characteristic matching based on the anti-counterfeiting characteristics, and discerning the authenticity of a note based on the anti-counterfeiting characteristics. According to the method provided by the invention, the maximum filtering is combined, the detection technology of small fiber target of two-dimensional entropy is improved, so that the method provided by the invention has good adaptability and stability.

Description

technical field [0001] The invention relates to a bill anti-counterfeiting identification method, in particular to an anti-counterfeiting identification method realized based on the personalized characteristics of the surface fiber of the bill, and belongs to the technical field of financial security identification. Background technique [0002] With the rapid development of the national economy, the application of financial bills is becoming more and more extensive. But at present, there are still some problems in the management, use and counterfeiting of financial bills. Criminals in the society directly target banks, and financial bill fraud cases occur from time to time, causing heavy economic losses to the country. Existing methods for authenticating financial bills mainly rely on manual qualitative analysis. The existing problems are that manual identification is intensive and time-consuming, and it is easy to cause false detection due to fatigue or negligence. [000...

AI Technical Summary

Problems solved by technology

However, there are still some problems in the management, use, and counterfeiting of financial bills at present. Criminals in the society directly target banks, and financial bill fraud cases occur from time to time, causing major economic losses to the country.

Existing financial bill authentication methods mainly rely on manual qualitative analysis. The existing problems are that manual identification is intensive and time-consuming, and it is easy to cause false detection due to fatigue or negligence.

However, it is impossible to identify the fake fibers drawn with highlighter to mimic the real ticket

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