Quality control method for paper money authentication and system therefor

• US 10,319,168 B2
• Filed: 07/13/2015
• Issued: 06/11/2019
• Est. Priority Date: 01/19/2015
• Status: Active Grant

• Current Assignee: GRG Banking Equipment Company Limited (City of Guangzhou)
• Original Assignee: GRG Banking Equipment Company Limited (City of Guangzhou)
• Inventors: Liu, Siwei, Wang, Rongqiu, Lei, Gang, Zhao, Zheng
• Primary Examiner(s): Saini, Amandeep
• Application Number:
  US15/543,559
• Publication Number:
  US 20180040186A1
• Time in Patent Office: 1,429 Days
• Field of Search: 382112
• CPC Class Codes: G07D 7/12 Visible light, infrared or ultraviolet radiation
• CPC Class Codes: G07D 7/1205 Testing spectral properties
• CPC Class Codes: G07D 7/187 Detecting defacement or contamination, e.g. dirt

Abstract

Provided are a quality control method for banknote identification and a quality control system for banknote identification. The quality control method for banknote identification includes: obtaining a multispectral signal collected by a contact image sensor (CIS); extracting a first eigenvalue of the multispectral signal; obtaining a corresponding second eigenvalue according to the first eigenvalue and a pre-set correction conversion value; and inputting the second eigenvalue into a banknote classifier to obtain a corresponding banknote classification result.

Claims

1. A quality control method for banknote identification, comprising:

obtaining a multispectral signal collected by a contact image sensor (CIS);

extracting a first feature value of the multispectral signal;

training, with one or more pre-set color, both a standard CIS and a CIS to be detected, to obtain a pre-set correction conversion value;

obtaining a corresponding second feature value according to the first feature value and the pre-set correction conversion value; and

inputting the second feature value into a banknote classifier to obtain a corresponding banknote classification result.

2. The method according to claim 1, wherein training, with the one or more pre-set color, both the standard CIS and the CIS to be detected, to obtain the pre-set correction conversion value comprises:

obtaining a standard feature value corresponding to a multispectral signal collected by the standard CIS;

obtaining a color feature value corresponding to a multispectral signal collected by the CIS to be detected; and

obtaining the correction conversion value according to the standard feature value and the color feature value, wherein the correction conversion value comprises a conversion relation between the standard feature value and the color feature value.

3. The method according to claim 1, further comprising performing white balance detection on a multispectral signal outputted by the CIS.

4. The method according to claim 3, wherein the performing white balance detection on the multispectral signal outputted by the CIS comprises:

performing white balance detection of white paper on the multispectral signal outputted by the CIS;

or

performing white balance detection of black paper on the multispectral signal outputted by the CIS.

5. The method according to claim 3, further comprising:

determining whether the CIS passes the white balance detection,

wherein the step of obtaining a multispectral signal collected by a CIS is performed in a case that it is determined that the CIS passes the white balance detection.

6. A quality control system for banknote identification, comprising:

a first obtaining processor configured to obtain a multispectral signal collected by a contact image sensor (CIS);

an extracting processor configured to extract a first feature value of the multispectral signal;

a correction value obtaining processor configured to train, with one or more pre-set color, both a standard CIS and a CIS to be detected, to obtain a pre-set correction conversion value;

a converting processor configured to obtain a corresponding second feature value according to the first feature value and the pre-set correction conversion value; and

a classifying processor configured to input the second feature value into a banknote classifier to obtain a corresponding banknote classification result.

7. The system according to claim 6, further comprising:

a second obtaining processor configured to obtain a standard feature value corresponding to a multispectral signal collected by the standard CIS; and

a third obtaining processor configured to obtain a color feature value corresponding to a multispectral signal collected by the CIS to be detected;

wherein the correction value obtaining processor is configured to obtain the correction conversion value according to the standard feature value and the color feature value, and the correction conversion value comprises a conversion relation between the standard feature value and the color feature value.

8. The system according to claim 6, further comprising a white balance detection processor configured to perform white balance detection on a multispectral signal outputted by the CIS.

9. The system according to claim 8, wherein the white balance detection processor comprises:

a white paper detection processor configured to perform white balance detection of white paper on the multispectral signal outputted by the CIS;

or

a black paper detection processor configured to perform white balance detection of black paper on the multispectral signal outputted by the CIS.

10. The system according to claim 8, further comprising:

a determining processor configured to determine whether the CIS passes the white balance detection; and

a triggering processor configured to trigger the first obtaining processor in a case that a determination result of the determining processor is positive.