Image acquisition and processing method and device of paper money discriminator

Abstract

The invention discloses an image acquisition and processing method of a paper money discriminator. The image acquisition and processing method comprises the following steps of: (a) acquiring a paper money image line by line by using a linear array image sensor; (b) performing analog-digital conversion on the acquired paper money image by using an image digitalization module and correcting a digital signal after conversion; (c) outputting the corrected digital signal to a digital signal processor to detect the paper money image; and (d) controlling stop and start of a paper money transmission motor when non-abnormal paper money is detected, wherein a process of acquiring the paper money image is controlled by using a coded disc signal in the step (a). The invention also discloses an image acquisition and processing device of the paper money discriminator, wherein the image acquisition and processing device comprises the linear array image sensor, the image digitalization module, the digital signal processor, the paper money transmission motor and the image acquisition control module; the linear array image sensor is used for acquiring the paper money image line by line; the image digitalization module is used for performing analog-digital conversion and signal correction; the digital signal processor is used for performing paper money image detection, the paper money transmission motor is used for controlling the paper money transmission; and the image acquisition control module is used for controlling the process of acquiring the paper money image by using the coded disc signal.

Description

technical field [0001] The invention relates to an image collection and processing method of a banknote authenticator, and also relates to an image collection and processing device of a banknote authenticator, in particular to an image collection and processing method and device for a banknote authenticator for single-port output banknotes. Background technique [0002] With the development of the economy, maintaining financial order and the interests of the general public has become more and more important. How to prevent counterfeit money from entering the market has attracted more and more attention from financial management institutions and the general public. It is an effective means to use image processing technology to improve the counterfeit currency identification ability of the banknote authenticator. On September 26, 2010, the state issued the "General Technical Conditions for RMB Counterfeit Banknote Detectors", and in the next few years, all banks' banknote proc...

AI Technical Summary

Problems solved by technology

This kind of banknote authenticator cannot continue to collect spliced ​​banknote images after restarting when the banknote image collection is incomplete. It is necessary to take out the banknotes and put them in again to collect the banknote images. The operation is inconvenient and time-consuming.

[0004] On the other hand, the linear array image sensor of the banknote validator of the prior art, such as CIS (contact image sensor, contact image sensor) sensor, its characteristic of continuous exposure makes even banknote validator can be in the situation that banknote image collection is incomplete Continue to collect spliced ​​banknote images after restarting, but the complete banknote image spliced ​​from this will have obvious light and dark mutations, which will seriously affect the quality of the collected banknote images, and it is easy to cause misjudgment of banknote images by the banknote validator.

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