New edition RMB face value identification currency counting and detecting machine and identification method thereof

Abstract

A new edition RMB face value identification currency counting and detecting machine is composed of a currency twisting mechanism, a currency discharging mechanism, a currency receiving mechanism and adisplayer, which are arranged on a machine frame; a magnetic head sensor is designed at the currency twisting mechanism position of the machine frame, the magnetic head sensor is connected with a processing system, and the processing system comprises a central processing unit CPU. An AD converter, a memory, an operation module and a comparison module are integrally designed on the CPU, RMB safetyline anti-counterfeiting characteristic information dynamic continuous analog signals with different new edition face values are pre-stored in the memory, and an algorithm program is designed in theoperation module. During operation, the magnetic head sensor inputs signals recognized from RMB into the CPU, the signals are converted into dynamic continuous analog signals through the AD converter,the operation module positions and recognizes the dynamic continuous analog signals through an algorithm program arranged in the operation module, and after recognition, the signals are compared withstandard signals arranged in the memorizer through the comparison module, wherein the highest face value in the results with the matching degree exceeding 70% is the recognized face value.

Description

technical field [0001] The invention relates to a banknote counting and inspecting machine, in particular to a banknote counting and inspecting machine aimed at identifying the face value of the new version of RMB. Background technique [0002] In the circulation process of banknotes in my country, the security thread plays a very important role in anti-counterfeiting. The anti-counterfeiting feature information of the old version of RMB is relatively simple. The existing banknote detectors generally use binary (binary) signal collection and recognition to identify the face value and Its authenticity, the new version of RMB, such as the fifth set of 100 yuan face value in the 2015 edition, and the launch of the fifth set of 50 yuan, 20 yuan, and 10 yuan in the 2019 edition, the overall anti-counterfeiting performance has been improved, and the anti-counterfeiting feature information on the security line More complicated, the existing binarization signal processing method of po...

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Problems solved by technology

[0002] In the circulation process of banknotes in my country, the security thread plays a very important role in anti-counterfeiting. The anti-counterfeiting feature information of the old version of RMB is relatively simple. The existing banknote detectors generally use binary (binary) signal collection and recognition to identify the face value and Its authenticity, the new version of RMB, such as the fifth set of 100 yuan face value in the 2015 edition, and the launch of the fifth set of 50 yuan, 20 yuan, and 10 yuan in the 2019 edition, the overall anti-counterfeiting performance has been improved, and the anti-counterfeiting feature information on the security line More complex, the existing binarization signal processing method of banknote detectors is not complete enough to collect the anti-counterfeiting feature information of the new version of RMB security line, there are blind spots and blind spots, and it is impossible to accurately identify the face value and authenticity of banknotes

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