Method and device for banknote identification based on thickness signal identification

Patent metadata

Field	Value
Publication number	US-10008065-B2
Application number	US-201415021923-A
Country	US
Kind code	B2
Filing date	Sep 25, 2014
Priority date	Dec 12, 2013
Publication date	Jun 26, 2018
Grant date	Jun 26, 2018

Abstract

A method and device for banknote identification based on thickness signal identification, allowing for simple and highly efficient identification and separation of abnormal banknotes by means of combining two thickness identification methods, namely an upward-facing area identification method and a downward-facing area identification method, for banknote identification. The recognition method comprises: collecting a thickness signal of a banknote; preprocessing the thickness signal; utilizing an upward-facing area identification method to identify the thickness signal, thus acquiring an upward-facing processing identification result; utilizing a downward-facing area identification method to identify the thickness signal, thus acquiring a downward-facing processing identification result; merging the upward-facing identification processing result and the downward-facing processing identification result on the basis of a predetermined rule, acquiring a merged result; and, identifying the merged result, thus acquiring an identification result.

First claim

The invention claimed is:

1. A method for banknote identification based on thickness signal identification, comprising:
acquiring a thickness signal of a banknote;
preprocessing the thickness signal;
identifying the thickness signal using an upward area identification method to acquire an upward processing identification result;
identifying the thickness signal using a downward area identification method to acquire a downward processing identification result;
merging the upward processing identification result and the downward processing identification result according to a preset rule to acquire a merging result; and
identifying the merging result to acquire an identification result;
wherein the identifying the thickness signal using an upward area identification method comprises:
taking an area of a region formed by a sliding window, an upper threshold line and a curve of the thickness signal as a thickness feature upper area, wherein a width and a sliding step of the sliding window have preset values, and the upper threshold line is a horizontal line above the curve of the thickness signal;
moving the sliding window in a stepwise manner with the preset sliding step and calculating thickness feature upper areas at all steps;
acquiring a minimum thickness feature upper area among the thickness feature upper areas calculated at all the steps;
calculating an average thickness feature upper area of the thickness feature upper areas calculated at all the steps; and
identifying the thickness signal according to the minimum thickness feature upper area and the average thickness feature upper area to acquire the upward processing identification result;
wherein the identifying the thickness signal using a downward area identification method comprises:
taking an area of a region formed by a sliding window, an lower threshold line and a curve of the thickness signal as a thickness feature lower area, wherein a width and a sliding step of the sliding window have preset values, and the lower threshold line is a horizontal line below the curve of the thickness signal;
moving the sliding window in a stepwise manner with the preset sliding step and calculating thickness feature lower areas at all steps;
acquiring a minimum thickness feature lower area among the thickness feature downward areas calculated at all the steps;
calculating an average thickness feature lower area of the thickness feature lower areas calculated at all the steps; and
identifying the thickness signal according to the minimum thickness feature lower area and the average thickness feature lower area to acquire the downward processing identification result.

2. The method for banknote identification based on thickness signal identification according to claim 1 , wherein, after the identifying the merging result to acquire the identification result, the method further comprises:
determining a classification of the banknote according to the identification result and transferring the banknote to a location corresponding to the classification of the banknote.

3. The method for banknote identification based on thickness signal identification according to claim 1 , wherein the acquiring the thickness signal of the banknote comprises:
acquiring the thickness signal of the banknote using a multi-channel thickness sensor,
wherein the thickness signal is a set of signals acquired from multiple channels.

4. The method for banknote identification based on thickness signal identification according to claim 1 , wherein the preprocessing the thickness signal comprises:
sampling the thickness signal to acquire a sampled signal;
de-noising the sampled signal to acquire a de-noised signal; and
determining an effective signal portion of the de-noised signal.

5. The method for banknote identification based on thickness signal identification according to claim 1 , wherein the merging the upward processing identification result and the downward processing identification result according to a preset rule comprises:
acquiring an abnormal region in each of the upward processing identification result and the downward processing identification result; and
merging the abnormal region in the upward processing identification result and the abnormal region in the downward processing identification result according to the preset rule to acquire the merging result.

6. A device for banknote identification based on thickness signal identification, comprising a thickness sensor, a DSP chip, an embedded system and a mechanical movement module, wherein:
the thickness sensor is connected with the DSP chip and configured to acquire a thickness signal of a banknote;
the DSP chip is connected with the embedded system and configured to identify the banknote according to the thickness signal based on an upward area identification method and a downward area identification method and transmit an identification result to the embedded system;
the embedded system is connected with the mechanical movement module and configured to control the mechanical movement module according to the identification result; and
the mechanical movement module is configured to determine a classification of the banknote and transfer the banknote to a location corresponding to the classification of the banknote in response to a control instruction set of the embedded system;
wherein the upward area identification method comprises:
taking an area of a region formed by a sliding window, an upper threshold line and a curve of the thickness signal as a thickness feature upper area, wherein a width and a sliding step of the sliding window have preset values, and the upper threshold line is a horizontal line above the curve of the thickness signal;
moving the sliding window in a stepwise manner with the preset sliding step and calculating thickness feature upper areas at all steps;
acquiring a minimum thickness feature upper area among the thickness feature upper areas calculated at all the steps;
calculating an average thickness feature upper area of the thickness feature upper areas calculated at all the steps; and
identifying the thickness signal according to the minimum thickness feature upper area and the average thickness feature upper area to acquire the upward processing identification result; and
wherein the downward area identification method comprises:
taking an area of a region formed by a sliding window, an lower threshold line and a curve of the thickness signal as a thickness feature lower area, wherein a width and a sliding step of the sliding window have preset values, and the lower threshold line is a horizontal line below the curve of the thickness signal;
moving the sliding window in a stepwise manner with the preset sliding step and calculating thickness feature lower areas at all steps;
acquiring a minimum thickness feature lower area among the thickness feature downward areas calculated at all the steps;
calculating an average thickness feature lower area of the thickness feature lower areas calculated at all the steps; and
identifying the thickness signal according to the minimum thickness feature lower area and the average thickness feature lower area to acquire the downward processing identification result.

7. The device for banknote identification based on thickness signal identification according to claim 6 , wherein the thickness sensor is a multi-channel thickness sensor.

8. The device for banknote identification based on thickness signal identification according to claim 6 , wherein the DSP chip comprises:
a preprocessing unit connected with both a upward processing module and a downward processing module and configured to preprocess the thickness signal;
the upward processing module conne

Assignees

• Grg Banking Equipment Co Ltd

Inventors

• Wang Xiaoliang
• Liang Tiancai
• Chen Guang
• Chen Dingxi

Classifications

• G06F18/24

  Classification techniques · CPC title

• G07D7/164 Primary

  Thickness · CPC title

• G07D7/2008

  using pre-processing, e.g. de-blurring, averaging, normalisation or rotation · CPC title

• G07D7/2016

  using feature extraction, e.g. segmentation, edge detection or Hough-transformation · CPC title

• G06K9/40

  Physics · mapped topic