Method and system for recognizing bill with abnormal thickness

Patent metadata

Field	Value
Publication number	US-2016358399-A1
Application number	US-201415102443-A
Country	US
Kind code	A1
Filing date	Sep 29, 2014
Priority date	Dec 12, 2013
Publication date	Dec 8, 2016
Grant date	—

Abstract

A method and system for recognizing a bill with an abnormal thickness. The method comprises: collecting the thickness signals of the bills in multi-channel to obtain multi-channel thickness signals ( 501 ); preprocessing the multi-channel thickness signals ( 502 ); searching the mutation points inside the multi-channel thickness signals according to a predetermined rule to form a mutation point set ( 503 ); determining the abnormal thickness suspicious regions of the multi-channel thickness signals according to the mutation point set ( 504 ); determining the thickness signal abnormal regions of the multi-channel thickness signals according to the abnormal thickness suspicious regions, and marking the positions and the area of the thickness signal abnormal regions ( 505 ); fusing the positions and the area of the thickness signal abnormal regions of the multi-channel thickness signals to obtain a fused result ( 506 ); recognizing the fused result to obtain a recognizing result ( 507 ). The recognizing method can effectively solve a problem of misjudging a normal bill due to a larger amplitude value fluctuation of a harmonic signal and a problem of missing a damaged bill, a counterfeit bank note or the like caused by insufficient signal sampling through lower calculation complexity in manner of detecting the mutation point of the thickness signal.

First claim

1 . A method for recognizing a banknote with an abnormal thickness, comprising:
collecting thickness signals of a banknote through multiple channels to obtain a plurality of thickness signals; preprocessing the plurality of thickness signals; searching for jump points in the plurality of thickness signals according to a predetermined rule, to form a jump point set; determining abnormal thickness suspicious regions of the plurality of thickness signals based on the jump point set; determining thickness signal abnormal regions of the plurality of thickness signals based on the abnormal thickness suspicious regions, and marking positions and areas of the thickness signal abnormal regions; combining the positions and the areas of the thickness signal abnormal regions of the plurality of thickness signals, to obtain a combining result; and recognizing the combining result to obtain a recognizing result.

2 . The method for recognizing the banknote with an abnormal thickness according to claim 1 , wherein after the step of preprocessing the plurality of thickness signals and before the step of searching for the jump points in the plurality of thickness signals according to the predetermined rule, the method further comprises:
storing the plurality of preprocessed thickness signals.

3 . The method for recognizing the banknote with an abnormal thickness according to claim 1 , wherein after the step of recognizing the combining result to obtain the recognizing result, the method further comprises:
categorizing the banknote based on the recognizing result, and delivering the banknote to a position corresponding to a category.

4 . The method for recognizing the banknote with an abnormal thickness according to claim 1 , wherein the step of preprocessing the plurality of thickness signals comprises:
sampling the plurality of thickness signals, to obtain sampled signals; de-noising the sampled signals, to obtain de-noised signals; and determining a valid signal region of the de-noised signals, to obtain the valid signal region.

5 . The method for recognizing the banknote with an abnormal thickness according to claim 1 , the step of searching for the jump points in the plurality of thickness signals according to the predetermined rule to form the jump point set comprises:
reading a determination condition for an upper-deformation jump point and a lower-deformation jump point; searching for jump points in the plurality of thickness signals according to the determination condition; and storing the jump points into the jump point set.

6 . A system for recognizing a banknote with an abnormal thickness, comprising: a thickness sensor, a DSP chip, an embedded module and a mechanical motion module, wherein
the thickness sensor is connected to the DSP chip and is configured to collect thickness signals of a banknote; the DSP chip is connected to the embedded module, and is configured to perform analyzing and recognizing on the banknote based on the thickness signals, to obtain a recognizing result; the embedded module is connected to the mechanical motion module and is configured to control the mechanical motion module based on the recognizing result; and the mechanical motion module is configured to categorize the banknote based on a control instruction set of the embedded module and deliver the banknote to a position corresponding to a category.

7 . The system for recognizing the banknote with an abnormal thickness according to claim 6 , further comprising a storage module configured to store the recognizing result.

8 . The system for recognizing the banknote with an abnormal thickness according to claim 7 , wherein the thickness sensor is a multi-channel thickness sensor.

9 . The method for recognizing the banknote with an abnormal thickness according to claim 2 , wherein the step of preprocessing the plurality of thickness signals comprises:
sampling the plurality of thickness signals, to obtain sampled signals; de-noising the sampled signals, to obtain de-noised signals; and determining a valid signal region of the de-noised signals, to obtain the valid signal region.

10 . The method for recognizing the banknote with an abnormal thickness according to claim 3 , wherein the step of preprocessing the plurality of thickness signals comprises:
sampling the plurality of thickness signals, to obtain sampled signals; de-noising the sampled signals, to obtain de-noised signals; and determining a valid signal region of the de-noised signals, to obtain the valid signal region.

11 . The method for recognizing the banknote with an abnormal thickness according to claim 2 , the step of searching for the jump points in the plurality of thickness signals according to the predetermined rule to form the jump point set comprises:
reading a determination condition for an upper-deformation jump point and a lower-deformation jump point; searching for jump points in the plurality of thickness signals according to the determination condition; and storing the jump points into the jump point set.

12 . The method for recognizing the banknote with an abnormal thickness according to claim 3 , the step of searching for the jump points in the plurality of thickness signals according to the predetermined rule to form the jump point set comprises:
reading a determination condition for an upper-deformation jump point and a lower-deformation jump point; searching for jump points in the plurality of thickness signals according to the determination condition; and storing the jump points into the jump point set.

Assignees

• Grg Banking Equipment Co Ltd

Inventors

• Liang Tiancai
• Wang Xiaoliang
• Chen Guang
• Liu Siwei

Classifications

• B65H2701/1912

  Banknotes, bills and cheques or the like · CPC title

• G07D7/164 Primary

  Thickness · CPC title

• B65H43/04

  detecting, or responding to, presence of faulty articles (B65H43/08 takes precedence; diverting faulty articles from main streams B65H29/62) · CPC title