CN109360324A - Banknote detection method, banknote tester, finance device and computer readable storage medium - Google Patents
Banknote detection method, banknote tester, finance device and computer readable storage medium Download PDFInfo
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- CN109360324A CN109360324A CN201811121116.5A CN201811121116A CN109360324A CN 109360324 A CN109360324 A CN 109360324A CN 201811121116 A CN201811121116 A CN 201811121116A CN 109360324 A CN109360324 A CN 109360324A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/20—Testing patterns thereon
- G07D7/202—Testing patterns thereon using pattern matching
- G07D7/206—Matching template patterns
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Abstract
The embodiment of the invention discloses banknote detection method, banknote tester, finance device and computer readable storage medium, this method is applied to be stored with the banknote tester of multiple feature templates data for money-checking, this method comprises: obtaining the characteristic of banknote to be verified；The characteristic is compared with pre-stored feature templates data；If comparison result be it is consistent, the banknote validation to be verified passes through；If comparison result be it is inconsistent, the banknote validation to be verified does not pass through.By carrying out money-checking using multiple feature templates data, automatic identification can be effectively realized, and since multiple feature templates data can cover the more dimensions of banknote, realize more accurate identification, also it is possible thereby to realize automatic maintenance, reduce the cost of maintenance.
Description
Technical field
The present invention relates to money-checking fields, in particular to banknote detection method, banknote tester, finance device and computer-readable storage
Medium.
Background technique
Current currency examination device has typically been found the problem manual analysis problem again in use, then is modified configuration or repaired
Change firmware, firmware updating solves the problems, such as.For example, the ability that currency examination device identifies bank note in equipment use process has dropped, it is then existing
Field pipe crewman can get higher to the paper money rate of refusing of customer service engineer's feedback device.Customer service engineer checks equipment, analysis, hair to scene
It now may be that currency examination device uses long, gradual change aging occurs for device, leads to collected banknote image signal, magnetic model, thickness
Spend signal etc. with it is initial different；Or because of climate reasons, for example air humidity has changed, temperature change leads to device
Part performance changes.In response to this, general customer service engineer can manually adjust the configuration parameter of currency examination device to solve this
Class problem, or when can not solve the problems, such as by adjustment parameter, problem is fed back into company, then problem is done into one by intra-company
Step analysis, modifies firmware, then issues new firmware version again, engineer rises after taking new firmware version to scene
Grade, then paper money rate situation is refused in observation, is lowered if refusing paper money rate, and problem is resolved, and otherwise also needs to repeat above
Operation, until Resolving probiems, or replacement currency examination device.
Existing this processing method is not smart enough, can not monitor letter caused by the variation of currency examination device use environment automatically
Number variation, original firmware program handled just for the signal of controlled range, after signal exceeds controlled range, to paper
The processing result of coin will become unknowable.Thus be likely to occur causes the discrimination of currency examination device to become because of environmental change
Change.Manual intervention is had to after there is such case, currency examination device is adjusted, it is made to restore normal.And the use of currency examination device
Environment is possible to change with factory batch difference, change, with territory of use's difference as the length of time used is not
One and device aging degree occur different.It, just must be regularly if can not accomplish to monitor automatically for these variations
Currency examination device is safeguarded, adjustment, is always held at the signal quality of currency examination device in reasonable range.If doing so, one
A is that maintenance cost is relatively high；Another is when to go to safeguard bad judgement, waits to have gone wrong and goes to safeguard again, user
Experience can be bad, goes to safeguard when not going wrong, can excessive maintenance.
Summary of the invention
For the defects in the prior art, the invention proposes banknote detection method, banknote tester, finance device and computers can
Automatic identification can effectively be realized, and due to multiple by carrying out money-checking using multiple feature templates data by reading storage medium
Feature templates data can cover the more dimensions of banknote, realize more accurate identification, also it is possible thereby to realize automatic maintenance,
Reduce the cost of maintenance.
Specifically, the invention proposes embodiments in detail below:
The embodiment of the invention discloses a kind of banknote detection methods, applied to the multiple feature templates data being stored with for money-checking
Banknote tester, this method comprises:
Obtain the characteristic of banknote to be verified；
The characteristic is compared with pre-stored feature templates data；
If comparison result be it is consistent, the banknote validation to be verified passes through；
If comparison result be it is inconsistent, the banknote validation to be verified does not pass through.
In a specific embodiment, further includes:
Start preset algorithm, to obtain genuine notes of the quantity more than certain numerical value as sample, and extracts as the true of sample
The characteristic of paper money is as sample characteristics data；
Classify to the sample characteristics data, with generate it is different classes of under feature templates data.
In a specific embodiment, the feature templates data include any combination of following one or more: coin
Kind template, bank note are towards template, note denomination template, bank note version template, paper money number template, the watermark of bank note portrait, paper
Coin digital watermarking template and it is stained template.
In a specific embodiment, the feature templates data and the algorithm are stored in the banknote tester
In nonvolatile storage；
When receiving preset money-checking triggering command, feature templates data in the nonvolatile storage are loaded, with logical
It crosses loaded feature templates data and treats verifying banknote progress money-checking operation.
In a specific embodiment, further includes:
When receiving preset more new command, to the feature templates data that are stored in nonvolatile storage and described
Algorithm is updated in a manner of firmware update；
Wherein, the preset more new command includes any combination of following one or more: being based on preset time point institute
Trigger the more new command generated, the update generated when getting matching degree and being more than the feature templates data itself stored
Instruction.
In a specific embodiment, the feature templates data are corresponding with the version number with time correlation connection；It is described
All feature templates data for having obtained version number are stored in banknote tester.
For the feature templates data of current version number, the correct identification of feature templates data under the version number is obtained
Rate；
Judge whether the correct recognition rata is higher than the correct recognition rata of the feature templates data of old version number；
If judging result be it is no, select feature templates data in the highest old version number of correct recognition rata to replace and work as
The feature templates data of version number used in preceding carry out money-checking.
In a specific embodiment, further includes:
When the quantity that the correct recognition rata of the feature templates data of different editions number is lower than default discrimination threshold value is more than pre-
If when quantity, carrying out alarm operation.
The embodiment of the present invention also proposed a kind of banknote tester, and multiple spies for money-checking are stored in the banknote tester
Template data is levied, which includes:
Module is obtained, for obtaining the characteristic of banknote to be verified；
Comparison module, for the characteristic to be compared with pre-stored feature templates data；
As a result output module, for when comparison result be it is consistent, then the banknote validation to be verified passes through, and ought comparison
When being as a result inconsistent, then the banknote validation to be verified does not pass through.
The embodiment of the present invention also proposed a kind of finance device, and the finance device includes: memory, processor and deposits
The money-checking program that can be run on the memory and on the processor is stored up, the money-checking program is executed by the processor
The step of Shi Shixian above-mentioned banknote detection method.
The embodiment of the present invention also proposed a kind of computer readable storage medium, deposit on the computer readable storage medium
Money-checking program is contained, the step of money-checking program realizes above-mentioned banknote detection method when being executed by processor.
With this, the embodiment of the invention discloses banknote detection method, banknote tester, finance device and computer-readable storage mediums
Matter, wherein this method is applied to be stored with the banknote tester of multiple feature templates data for money-checking, this method comprises: obtaining
The characteristic of banknote to be verified；The characteristic is compared with pre-stored feature templates data；If comparing knot
Fruit be it is consistent, then the banknote validation to be verified passes through；If comparison result be it is inconsistent, the banknote validation to be verified is obstructed
It crosses.By carrying out money-checking using multiple feature templates data, automatic identification can be effectively realized, and due to multiple feature templates
Data can cover the more dimensions of banknote, realize more accurate identification, also it is possible thereby to realize automatic maintenance, reduce maintenance
Cost.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 is a kind of flow diagram for banknote detection method that the embodiment of the present invention proposes.
Specific embodiment
Hereinafter, the various embodiments of the disclosure will be described more fully.The disclosure can have various embodiments, and
It can adjust and change wherein.It should be understood, however, that: there is no the various embodiments of the disclosure are limited to spy disclosed herein
Determine the intention of embodiment, but the disclosure should be interpreted as in the spirit and scope for covering the various embodiments for falling into the disclosure
All adjustment, equivalent and/or optinal plan.
Hereinafter, can the term " includes " used in the various embodiments of the disclosure or " may include " instruction disclosed in
Function, operation or the presence of element, and do not limit the increase of one or more functions, operation or element.In addition, such as existing
Used in the various embodiments of the disclosure, term " includes ", " having " and its cognate are meant only to indicate special characteristic, number
Word, step, operation, the combination of element, component or aforementioned item, and be understood not to exclude first one or more other
Feature, number, step, operation, element, component or aforementioned item combined presence or increase one or more features, number,
Step, operation, element, component or aforementioned item combination a possibility that.
In the various embodiments of the disclosure, states "or" or " at least one of A or/and B " includes listing file names with
Any combination of text or all combinations.For example, statement " A or B " or " at least one of A or/and B " may include A, may include
B may include A and B both.
The statement (" first ", " second " etc.) used in the various embodiments of the disclosure can be modified in various implementations
Various constituent element in example, but respective sets can not be limited into element.For example, the above statement is not intended to limit the suitable of the element
Sequence and/or importance.The above statement is only used for the purpose for differentiating an element and other elements.For example, the first user fills
It sets and indicates different user device with second user device, although the two is all user apparatus.For example, not departing from each of the disclosure
In the case where the range of kind embodiment, first element is referred to alternatively as second element, and similarly, second element is also referred to as first
Element.
It should also be noted that if a constituent element ' attach ' to another constituent element by description, it can be by the first composition member
Part is directly connected to the second constituent element, and " connection " third can form between the first constituent element and the second constituent element
Element.On the contrary, when a constituent element " being directly connected to " is arrived another constituent element, it will be appreciated that in the first constituent element
And second third constituent element is not present between constituent element.
The term used in the various embodiments of the disclosure " user " can be indicated using the people of electronic device or using electricity
The device (for example, artificial intelligence electronic device) of sub-device.
The term used in the various embodiments of the disclosure is used only for the purpose of describing specific embodiments and not anticipates
In the various embodiments of the limitation disclosure.As used herein, singular is intended to also include plural form, unless context is clear
Chu it is indicated otherwise.Unless otherwise defined, otherwise all terms (including technical terms and scientific terms) used herein have
There is meaning identical with the various normally understood meanings of embodiment one skilled in the art of the disclosure.The term
(term such as limited in the dictionary generally used) is to be interpreted as having and situational meaning in the related technical field
Identical meaning and it will be interpreted as having Utopian meaning or meaning too formal, unless in the various of the disclosure
It is clearly defined in embodiment.
Embodiment 1
The embodiment of the invention discloses a kind of banknote detection methods, applied to the multiple feature templates data being stored with for money-checking
Banknote tester, as shown in Figure 1 method includes the following steps:
Step 101, the characteristic for obtaining banknote to be verified；
Specifically, passing through the available spy to banknote to be verified of banknote tester when banknote is put into banknote tester
Levy data.
The characteristic is compared step 102 with pre-stored feature templates data；
Specifically, generating feature templates data in advance also having following steps, process is specific as follows:
Start preset algorithm, to obtain genuine notes of the quantity more than certain numerical value as sample, and extracts as the true of sample
The characteristic of paper money is as sample characteristics data；
Classify to the sample characteristics data, with generate it is different classes of under feature templates data.
The started preset algorithm of specific sampling can algorithm or image study based on such as neural network learning
Algorithm, in general, the quantity of sampling is The more the better, and the quantity of sampling is more, then it is subsequent based on feature templates data carry out
When money-checking, correct recognition rata also can be higher, and in one example, certain numerical value specifically can be, for example, 1,000,000, logical with this
It crosses and 1,000,000 or more genuine notes is sampled, to extract sample characteristics data.Specific certain numerical value can be according to banknote
Situation, such as clarity, printing technology, distribution of color, the difference of color difference etc. and can have different settings.
Specific feature templates data are the data of banknote feature, and different classes of being corresponding with not of specific banknote feature
Same template, such as the classification of banknote feature can be currency type classification, value of money classification, version classification, portrait classification etc..
After generating different classes of feature templates data, it is subsequent can be by first being identified to banknote to be tested, really
After fixed corresponding classification, the feature templates data under the category are called to be identified, so as to improve efficiency.
In a specific embodiment, the feature templates data include any combination of following one or more: coin
Kind template, bank note are towards template, note denomination template, bank note version template, paper money number template, the watermark of bank note portrait, paper
Coin digital watermarking template is stained template.
In a specific embodiment, the feature templates data and the algorithm are stored in the banknote tester
In nonvolatile storage；
When receiving preset money-checking triggering command, feature templates data in the nonvolatile storage are loaded, with logical
It crosses loaded feature templates data and treats verifying banknote progress money-checking operation.
Specifically, the firmware in banknote tester is segmented into two parts, algorithm part and template part.Wherein algorithm is to use
In extracting various characteristics from bank note, template is established, and then right to the bank note progress feature extraction Jing Guo currency examination device
Identify forge or true or paper money than template.Template then is refined by largely after the bank note of currency examination device extracts sample characteristics data
It obtains.Template includes plurality of classes, for example currency type template, bank note are towards template, note denomination template, bank note version template, paper
Coin crown word number template, bank note portrait watermark/digital watermarking template are stained template etc..
Algorithm routine and template data are all stored in the nonvolatile storage in currency examination device.When currency examination device starts, calculate
Method can first load template data.Algorithm routine and template data can be updated by way of firmware upgrade, to test
When paper money device use environment changes, the applicability of algorithm and template can be kept by upgrading.In addition, template can pass through
It automatically updates and saves in use.
If step 103, comparison result be it is consistent, the banknote validation to be verified passes through；
If comparison result be it is inconsistent, the banknote validation to be verified does not pass through.
Specifically when receiving preset more new command, to the feature templates data being stored in nonvolatile storage with
And the algorithm is updated in a manner of firmware update.
Specific more new command, is the order for being updated to feature templates data, and specific form can be a variety of,
Such as it can be transmitted in a manner of data packet or message etc.；And specifically to the feature templates data in nonvolatile storage
And the algorithm is when being updated, the mode of update can also there are many, such as OTA (Over-the-Air can also be utilized
Technology, over the air) etc. at present later update mode be updated.
More specifically, the preset more new command includes any combination of following one or more: being based on preset time
Point trigger generation more new command, when get matching degree more than itself stored feature templates data when it is generated
More new command.
Feature templates data can update.It can independently be updated according to the more new strategy set in currency examination device.Such as
Idle 2:00 AM updates on every Sundays.Data required for template renewal are from collected bank note in the currency examination device process of exchange
Data.The extraction that by algorithm these bank note datas are carried out with each category feature, filtering out the preferable feature of multiple quality (can use
Original template is compared, and matching degree is considered preferable feature more than restriction threshold value), it is then (more by specific method
A sample characteristics average to obtain template, multiple sample characteristics cluster to obtain template etc.) extract new template.New template is replaced
Original template is changed, while original template can retain backup, can be restored in the case where being not suitable for prevent new template.
In a specific embodiment, the feature templates data are corresponding with the version number with time correlation connection；It is described
All feature templates data for having obtained version number are stored in banknote tester.
Specifically, the time is the version time generated, version is identified by generating the time with this, with this
Version number can be named based on the time, and in specific one embodiment, such as a version number can be 2018.02.06-1
(imply that 2 months 2018 No. 6 first version generated, it is possible to there are multiple versions generating on the same day, area is carried out with this
Point)；Another version number for example can be 2018.06.09-3.
In a specific embodiment, this method further include:
For the feature templates data of current version number, the correct knowledge of the lower feature templates data of the current version number is obtained
Not rate；
Specifically, the feature templates data of each version number can with by test sample (including genuine notes and counterfeit money) come
It is tested, and is compared based on the result of test with the truth of genuine notes counterfeit money, to determine the probability correctly identified,
That is correct recognition rata.
In addition, specific test can also be carried out based on actual money-checking process, by device money-checking after, then pass through
Artificial mode is veritified, to determine correct recognition rata.
Judge whether the correct recognition rata is higher than the correct recognition rata of the feature templates data of old version number；
Specifically, the version number stored in general banknote tester be it is multiple, with this except when its other than preceding version number
The version number that he is stored is old version number.
If judging result be it is no, select feature templates data in the highest old version number of correct recognition rata to replace and work as
The feature templates data of version number used in preceding carry out money-checking.
Specifically, feature templates data are in use, algorithm can programming count update feature templates number in currency examination device
Correct recognition rata situation after, and save.
Such as when after a period of use, discovery generates under time latest features template data (in version number according to generation
Time is the newest feature templates data of version number in the case where determining) correct recognition rata reach the correct identification of expected setting
Rate, or it is slightly better than generating the correct recognition rata under the feature templates data of time a little later, then generate time latest features template number
According to continuing to use, and start the generation of next-generation feature templates data, otherwise generates time most feature templates data needs and gone back
Originally it was the correct identification highest feature templates data in road, and regenerates next-generation feature templates data.
In a specific embodiment, this method further include:
When the quantity that the correct recognition rata of the feature templates data of different editions number is lower than default discrimination threshold value is more than pre-
If when quantity, carrying out alarm operation.
Specifically, if the new feature template data for continuing repeatedly to generate all is unable to reach expected discrimination and former character modules
Expection is also not achieved in discrimination under plate data, then banknote tester actively reports failure, and then manpower intervention is safeguarded.
In addition, passing through the analysis and problem diagnosis of feature templates data and discrimination to different editions number.In money-checking
After device uses a very long time, such as a season, half a year or 1 year.Customer service engineer can extract in banknote tester
Different editions number feature templates data and corresponding discrimination data, and analyzed with tool, to the whole of banknote tester
Body situation diagnoses, and obtains banknote tester with using the influence curve of the environmental factors such as time, climate change, and then obtain money-checking
The best maintenance moment of device.
With this, the present invention is based on features described above, have the following characteristics that
1. reducing currency examination device because of the reduction of discrimination caused by environmental change, lifting means utilization rate and user experience.
2. reducing because discrimination reduces the maintenance of bring manpower intervention, maintenance cost is saved.
3., when discrimination is unable to reach expected, autonomous report barrier allows engineer to intervene by independently counting discrimination situation
Maintenance.Prevent status continuous worsening, causing can not expected result.
4., by counting past service condition, summing up currency examination device most from the discrimination situation of master record currency examination device
The good maintenance moment reduces unnecessary maintenance and out of season maintenance.
Embodiment 2
The embodiment of the present invention 2 also discloses a kind of banknote tester, in a kind of embodiment of banknote tester of the present invention, contains
Content and above-mentioned money-checking side are expanded and explained to all technical features of each embodiment of banknote detection method in above-described embodiment 1, specification
Each embodiment of method is essentially identical, and this will not be repeated here.
Embodiment 3
The embodiment of the present invention 3 also discloses a kind of finance device, in a kind of embodiment of finance device of the present invention, contains
The all technical features of each embodiment of banknote detection method described in above-described embodiment 1, specification expand and explain that content is tested with above-mentioned
Each embodiment of paper money method is essentially identical, and this will not be repeated here.
Embodiment 4
The embodiment of the present invention 4 also discloses a kind of computer readable storage medium, a kind of computer-readable storage of the present invention
In the embodiment of medium, all technical features of each embodiment of banknote detection method described in above-described embodiment 1 are contained, specification is opened up
Exhibition and explanation content and each embodiment of above-mentioned banknote detection method are essentially identical, and this will not be repeated here.
With this, the embodiment of the invention discloses banknote detection method, banknote tester, finance device and computer-readable storage mediums
Matter, wherein this method is applied to be stored with the banknote tester of multiple feature templates data for money-checking, this method comprises: obtaining
The characteristic of banknote to be verified；The characteristic is compared with pre-stored feature templates data；If comparing knot
Fruit be it is consistent, then the banknote validation to be verified passes through；If comparison result be it is inconsistent, the banknote validation to be verified is obstructed
It crosses.By carrying out money-checking using multiple feature templates data, automatic identification can be effectively realized, and due to multiple feature templates
Data can cover the more dimensions of banknote, realize more accurate identification, also it is possible thereby to realize automatic maintenance, reduce maintenance
Cost.
It will be appreciated by those skilled in the art that the accompanying drawings are only schematic diagrams of a preferred implementation scenario, module in attached drawing or
Process is not necessarily implemented necessary to the present invention.
It will be appreciated by those skilled in the art that the module in device in implement scene can be described according to implement scene into
Row is distributed in the device of implement scene, can also be carried out corresponding change and is located at the one or more dresses for being different from this implement scene
In setting.The module of above-mentioned implement scene can be merged into a module, can also be further split into multiple submodule.
Aforementioned present invention serial number is for illustration only, does not represent the superiority and inferiority of implement scene.
Disclosed above is only several specific implementation scenes of the invention, and still, the present invention is not limited to this, Ren Heben
What the technical staff in field can think variation should all fall into protection scope of the present invention.
Claims (10)
1. a kind of banknote detection method, which is characterized in that filled applied to the money-checking for being stored with multiple feature templates data for money-checking
It sets, this method comprises:
Obtain the characteristic of banknote to be verified；
The characteristic is compared with pre-stored feature templates data；
If comparison result be it is consistent, the banknote validation to be verified passes through；
If comparison result be it is inconsistent, the banknote validation to be verified does not pass through.
2. a kind of banknote detection method as described in claim 1, which is characterized in that further include:
Start preset algorithm, to obtain genuine notes of the quantity more than certain numerical value as sample, and extracts genuine notes as sample
Characteristic is as sample characteristics data；
Classify to the sample characteristics data, with generate it is different classes of under feature templates data.
3. a kind of banknote detection method as claimed in claim 1 or 2, which is characterized in that the feature templates data include following one
A or multiple any combination: currency type template, bank note are towards template, note denomination template, bank note version template, paper money number
Template, the watermark of bank note portrait, bank note digital watermarking template and it is stained template.
4. a kind of banknote detection method as claimed in claim 2, which is characterized in that the feature templates data and the algorithm are deposited
Storage is in the nonvolatile storage of the banknote tester；
When receiving preset money-checking triggering command, feature templates data in the nonvolatile storage are loaded, to pass through
The feature templates data of load treat verifying banknote and carry out money-checking operation.
5. a kind of banknote detection method as claimed in claim 2, which is characterized in that further include:
When receiving preset more new command, to the feature templates data and the algorithm being stored in nonvolatile storage
It is updated in a manner of firmware update；
Wherein, the preset more new command includes any combination of following one or more: being triggered based on preset time point
The more new command of generation, when getting matching degree and being more than the feature templates data itself stored, generated update refers to
It enables.
6. a kind of banknote detection method as described in claim 1, which is characterized in that the feature templates data are corresponding with and time phase
Associated version number；All feature templates data for having obtained version number are stored in the banknote tester；
For the feature templates data of current version number, the correct identification of the lower feature templates data of the current version number is obtained
Rate；
Judge whether the correct recognition rata is higher than the correct recognition rata of the feature templates data of old version number；
If judging result be it is no, select feature templates data in the highest old version number of correct recognition rata to replace current institute
The feature templates data of the version number used carry out money-checking.
7. a kind of banknote detection method as claimed in claim 6, which is characterized in that further include:
When the quantity that the correct recognition rata of the feature templates data of different editions number is lower than default discrimination threshold value is more than present count
When amount, alarm operation is carried out.
8. a kind of banknote tester, which is characterized in that multiple feature templates data for money-checking are stored in the banknote tester,
The device includes:
Module is obtained, for obtaining the characteristic of banknote to be verified；
Comparison module, for the characteristic to be compared with pre-stored feature templates data；
As a result output module, for when comparison result be it is consistent, then the banknote validation to be verified passes through, and works as comparison result
When being inconsistent, then the banknote validation to be verified does not pass through.
9. a kind of finance device, which is characterized in that the finance device includes: memory, processor and is stored in described deposit
On reservoir and the money-checking program that can run on the processor, realize when the money-checking program is executed by the processor as weighed
Benefit require any one of 1 to 7 described in banknote detection method the step of.
10. a kind of computer readable storage medium, which is characterized in that be stored with money-checking journey on the computer readable storage medium
Sequence, the step of banknote detection method as described in any one of claims 1 to 7 is realized when the money-checking program is executed by processor.
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| CN110233967A (en) * | 2019-06-20 | 2019-09-13 | 漳州智觉智能科技有限公司 | Mould template image generation system and method |
| CN111612454A (en) * | 2020-03-19 | 2020-09-01 | 于贵庆 | Electronic currency detection platform applying block chain |
| CN113269919A (en) * | 2020-12-28 | 2021-08-17 | 深圳市怡化时代科技有限公司 | Banknote identifying method, banknote identifying device, medium and banknote identifying apparatus |
| CN113379961A (en) * | 2021-06-10 | 2021-09-10 | 广州市银科电子有限公司 | Method, device, equipment and storage medium for assisting identification of bank notes and tickets |
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