Quality control method for paper money authentication and system therefor
AssigneeGRG Banking Equipment Co., Ltd.
InventorsSiwei Liu, Rongqiu Wang, Gang Lei, Zheng Zhao
Life of this patent
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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.
Claims10
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.
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.
Dependencies are inferred from the claim text.