Method and device for detecting abnormal thickness of banknotes

Abstract

The embodiment of the invention discloses a method and a device for detecting the paper currency thickness abnormity. The method comprises the steps of searching a value greater than thickness data ofthe baseline value corresponding to the current channel in the thickness data of the to-be-detected paper moneys obtained by the current channel for each channel of the thickness sensor; taking the searched data as initial abnormal data points, and recording the position information of the initial abnormal data points; determining the number of consecutive points of the initial abnormal data points according to the position information; if the number of consecutive points of the initial abnormal data points is larger than a point value threshold value, calculating the sum of the thickness data of the consecutive abnormal point area; comparing the sum of the thickness data of the consecutive abnormal point area with a first thickness threshold value, and determining whether the thickness of the to-be-detected paper moneys is abnormal according to the comparison result. According to the technical scheme, whether the thickness of a paper money is abnormal can be rapidly detected. The abnormal situation of the thickness of the to-be-detected paper money is judged without repeatedly traversing the image data of the to-be-detected paper money, the data volume is small, and the processing speed is high.

Description

technical field [0001] The embodiments of the present invention relate to banknote processing technology, in particular to a method and device for detecting abnormal thickness of banknotes. Background technique [0002] With the increasingly frequent circulation of banknotes, banknotes are prone to damage such as tearing and falling corners. At this time, people often use scotch tape to paste the damaged parts of the banknotes, thus forming damaged banknotes. The circulation of damaged banknotes in the market has seriously affected the image of banknotes and the image of the country. The relevant central banks need to recover and destroy such banknotes in accordance with relevant regulations. In addition, more and more criminals form banknotes by pasting and combining residual coupons from different banknotes, which seriously endangers the interests of the country, the collective and individuals. Therefore, detection of banknote thickness anomalies becomes crucial. [0003...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, clustering or other image processing algorithms (such as the watershed algorithm) are used to detect the abnormal area of ​​the banknote thickness. This scheme needs to traverse the image data of the banknote to be detected repeatedly, the amount of data obtained is large, and the processing speed is relatively fast. slow

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