CN113192252A - Method, device and equipment for detecting bill overlapped sheets and readable medium - Google Patents
Method, device and equipment for detecting bill overlapped sheets and readable medium Download PDFInfo
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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
- G07D7/06—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 using wave or particle radiation
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Abstract
The embodiment of the invention discloses a method, a device, equipment and a readable medium for detecting bill overlapped sheets, wherein the method comprises the following steps: acquiring a target bill type corresponding to a bill to be detected, and determining a standard gray threshold corresponding to the target bill type; acquiring an infrared transmission image of the bill to be detected, and determining a target detection image according to the infrared transmission image; and acquiring a gray average value of the target detection image, matching the gray average value with the standard gray threshold value, and judging whether the bill to be detected has double sheets. The invention improves the detection efficiency and accuracy of the bill overlapped sheets.
Description
Technical Field
The invention relates to the technical field of image processing, in particular to a method, a device, equipment and a readable medium for detecting double note.
Background
Checks, deposit slips and other types of bills are more and more common in daily life, because the related capital flow is generally large, in the process of using a machine with a transaction check or deposit slip, the check or deposit slip is possibly subjected to the phenomenon of overlapping sheets, so that the check and deposit slip can be detected to be overlapped sheets, the check and deposit slip can be normally accepted and issued, and the financial errors can be avoided.
In the prior art, the detection of whether various bills are overlapped is based on a preset (such as included in an ATM) thickness detection module, but the conventional thickness detection module generally has insufficient channel number and low detection precision, and cannot detect whether the bills are overlapped according to the feedback of a thickness signal, so that the defects of low bill overlapping detection accuracy and high false detection rate in the prior art are caused.
Disclosure of Invention
In view of the above, it is necessary to provide a method and an apparatus for detecting a double note, a computer device and a readable medium.
A method of detecting a double note, the method comprising:
acquiring a target bill type corresponding to a bill to be detected, and determining a standard gray threshold corresponding to the target bill type;
acquiring an infrared transmission image of the bill to be detected, and determining a target detection image according to the infrared transmission image;
and acquiring a gray average value of the target detection image, matching the gray average value with the standard gray threshold value, and judging whether the bill to be detected has double sheets.
The step of determining the standard gray level threshold corresponding to the target bill type comprises the following steps:
acquiring a first gray threshold interval and a second gray threshold interval corresponding to the target bill type, wherein the upper limit of the first gray threshold interval is smaller than the lower limit of the second gray threshold interval;
and determining the standard gray threshold according to the first gray threshold interval and the second gray threshold interval.
Further, the step of obtaining a first gray threshold interval and a second gray threshold interval corresponding to the target bill type includes:
acquiring a standard bill sample and a double bill sample corresponding to the target bill type;
and determining the first gray threshold interval according to the double-sheet bill sample, and determining the second gray threshold interval according to the standard bill sample.
Optionally, determining the standard grayscale threshold according to the first grayscale threshold interval and the second grayscale threshold interval includes:
determining a standard gray level mean value according to the first gray level threshold interval, and determining a refolding gray level mean value according to the second gray level threshold interval;
and determining the standard gray threshold value according to the standard gray average value and the refolding gray average value.
Optionally, the determining step of the first gray threshold interval and the second gray threshold interval further includes:
acquiring acquisition condition parameters corresponding to the infrared transmission images;
acquiring bill image data acquired under the acquisition condition parameters as reference sample data;
and determining the first gray threshold interval and the second gray threshold interval according to the reference sample data.
Wherein the determining the first and second grayscale threshold intervals according to the reference sample data comprises:
determining the number of actual bills and the number of target bills according to the reference sample data;
and dividing the reference sample data into the standard bill sample and the overlapped bill sample according to the actual bill number and the target bill number.
Further, the step of determining an image of the object detection from the infrared transmission image includes:
acquiring image area characteristic information corresponding to the target bill type, wherein the image area characteristic comprises image size information and image ticket number area information;
and determining the target detection image according to the image area characteristic information, wherein the target detection image comprises a plurality of sub transmission images corresponding to the infrared transmission image.
A device for detecting the presence of a double note, said device comprising:
an acquisition unit: the method comprises the steps of acquiring a target bill type corresponding to a bill to be detected, and determining a standard gray threshold corresponding to the target bill type;
a determination unit: the infrared transmission image acquisition module is used for acquiring an infrared transmission image of the bill to be detected and determining a target detection image according to the infrared transmission image;
a judging unit: and the device is used for acquiring the gray average value of the target detection image, matching the gray average value with the standard gray threshold value and judging whether the bill to be detected has double sheets or not.
A computer device comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of:
acquiring a target bill type corresponding to a bill to be detected, and determining a standard gray threshold corresponding to the target bill type;
acquiring an infrared transmission image of the bill to be detected, and determining a target detection image according to the infrared transmission image;
and acquiring a gray average value of the target detection image, matching the gray average value with the standard gray threshold value, and judging whether the bill to be detected has double sheets.
A computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of:
acquiring a target bill type corresponding to a bill to be detected, and determining a standard gray threshold corresponding to the target bill type;
acquiring an infrared transmission image of the bill to be detected, and determining a target detection image according to the infrared transmission image;
and acquiring a gray average value of the target detection image, matching the gray average value with the standard gray threshold value, and judging whether the bill to be detected has double sheets.
In the embodiment of the invention, the target bill type corresponding to the bill to be detected is firstly acquired, and the standard gray threshold corresponding to the target bill type is determined. And then acquiring an infrared transmission image of the bill to be detected, and determining a target detection image according to the infrared transmission image. And finally, acquiring a gray average value of the target detection image, and matching the gray average value with the standard gray threshold value to judge whether the bill to be detected has overlapped sheets.
Compared with the prior art that the thickness detection data is judged whether to be overlapped or not based on thickness detection, the thickness detection has the defects of low detection channel number, low detection precision and the like, so that the problems of low accuracy and high false detection rate of bill overlapped detection are caused.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Wherein:
FIG. 1 is a flow diagram illustrating a method for detecting a double note in one embodiment;
FIG. 2 illustrates a flow diagram for determining a standard gray level threshold value corresponding to the target document type in one embodiment;
FIG. 3 illustrates a flow chart of determining a first threshold interval and a second threshold interval of gray levels corresponding to the target document type in one embodiment;
FIG. 4 shows a flow diagram for determining a standard grayscale threshold from a first grayscale threshold interval and a second grayscale threshold interval in one embodiment;
FIG. 5 is a flow diagram illustrating the determination of the standard grayscale threshold based on the standard grayscale mean and the refocusing grayscale mean in one embodiment;
FIG. 6 shows a flow diagram for determining the first and second grayscale threshold intervals from the reference sample data in one embodiment;
FIG. 7 illustrates a flow diagram for determining a target detection image from the infrared transmission image in one embodiment;
FIG. 8 is a block diagram showing a detecting apparatus for detecting a double note in one embodiment;
FIG. 9 is a diagram illustrating an internal structure of a computer device in one embodiment.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a method for detecting bill overlapped sheets. Alternatively, it may be based on a computer processing device.
Referring to fig. 1, the embodiment of the invention provides a method for detecting overlapped bills.
FIG. 1 shows a flow diagram of a method of detecting a ticket reprint in one embodiment. The method for detecting the overlapped bills at least comprises the steps S1022 to S1026 shown in FIG. 1, and the following steps are introduced in detail:
in step S1022, a target ticket type corresponding to the ticket to be detected is obtained, and a standard grayscale threshold corresponding to the target ticket type is determined.
It is easy to understand that different types of single bills have different thicknesses of paper, so that the corresponding gray level mean values also have great difference, and meanwhile, in the case of a double sheet (for example, a plurality of bills are overlapped or partially folded), the gray level mean value of the corresponding part of the double sheet is smaller than that of other normal single bills (namely, closer to black corresponding to a gray level of 0) due to the increase of the thickness of the paper.
Therefore, the basis for the double note detection should be to determine the normal mean gray level of the notes without the presence of double notes.
Therefore, optionally, the process of determining the standard grayscale threshold in step S1022 may further include steps S1032-S1034 shown in fig. 2. FIG. 2 shows a flow diagram for determining a standard gray level threshold value corresponding to the target document type in one embodiment.
In step S1032, a first gray threshold interval and a second gray threshold interval corresponding to the target note type are obtained, where an upper interval limit of the first gray threshold interval is smaller than a lower interval limit of the second gray threshold interval.
Specifically, the first gray threshold interval and the second gray threshold interval herein may correspond to a gray average value distribution interval of a bill with overlapped sheets and a standard gray average value distribution interval of a bill without overlapped sheets, respectively.
The gray level average value of the bill with the overlapped sheets is obviously larger than the standard gray level average value without the overlapped sheets due to the existence of the overlapped sheets, so that the upper limit of the interval of the first gray level threshold interval is smaller than the lower limit of the interval of the second gray level threshold interval.
For example, when the bill type is a cash check, the corresponding first gray threshold interval may be [50, 60], and the corresponding second gray threshold interval may be [100, 155 ]. And when the bill type is a thin deposit bill, the corresponding first gray threshold interval can be [25, 40], and the corresponding second gray threshold interval is [90, 160 ].
Further, the process of determining the two gray level thresholds in step S1032 may further include steps S1042 to S1044 shown in fig. 3. FIG. 3 shows a flow chart of determining a first gray threshold interval and a second gray threshold interval corresponding to the target note type in one embodiment.
In step S1042, a standard bill sample and a double bill sample corresponding to the target bill type are obtained.
In a specific embodiment, the specific bill sample may be transmission image data of bills known to be standard or overlapped, which are scanned by a preset image capture device, such as transmission images corresponding to 100 standard bills and 100 overlapped bills respectively.
In step S1044, the first gray threshold interval is determined according to the double note sample, and the second gray threshold interval is determined according to the standard note sample.
Specifically, the gray level mean values of the transmission images of the double bill sample and the standard bill sample are respectively determined.
In an optional embodiment, in order to improve the efficiency of subsequent overlapped sheet detection, preprocessing such as noise removal, graying and the like can be performed on the acquired note transmission image.
In step S1034, the standard grayscale threshold is determined according to the first grayscale threshold interval and the second grayscale threshold interval.
After the distribution ranges of the gray average values of the standard bill and the bill with the overlapped bill are determined, an intermediate gray value for measuring whether the bill is overlapped or not (namely, the standard gray threshold value) can be determined according to the two distribution ranges respectively.
Therefore, the process of determining the standard gray threshold value according to the first gray threshold interval and the second gray threshold interval described above herein may further include steps S1052-S1054 shown in fig. 4. Fig. 4 shows a flow diagram for determining a standard grayscale threshold from a first grayscale threshold interval and a second grayscale threshold interval in one embodiment.
In step S1052, a standard gray level mean value is determined according to the first gray level threshold interval, and a refocusing gray level mean value is determined according to the second gray level threshold interval.
In a specific embodiment, each of the 100 repeated bill samples can be regarded as a pixel point in the transmission image of a bill, and the gray value of the pixel point is the gray average value of the transmission images of the repeated bill samples, so as to comprehensively determine the gray histogram corresponding to a repeated bill, and similarly, the gray histogram corresponding to a standard bill can also be comprehensively determined for 100 standard bill samples.
And then, respectively determining a standard gray average value and a refolding gray average value according to the gray distribution condition in the gray histogram, for example, taking the gray average value of the interval with the maximum gray distribution probability in the gray histogram.
In step S1054, the standard gray threshold is determined according to the standard gray mean and the refolding gray mean.
In a specific embodiment, the middle demarcation point as a measure of whether to reprint may be an average of the standard gray scale mean and the reprint gray scale mean.
Still further, considering that in an actual application environment, different collection condition parameters (such as illumination and equipment types) have a large influence on the mean gray scale of the transmission image of the bill, for example, in the case of dark illumination, the mean gray scale of the transmission image of the collected standard bill or the collected repeated bill is small.
If the sample is under the condition of bright illumination, the gray mean value of the transmission image of the collected standard bill or the collected double bill is larger, and even the gray mean value of the double bill is possibly larger than that of the same type of standard bill collected under the dark condition.
Therefore, in order to reduce the influence of the difference of the acquisition environments on the reprint detection judgment, in an alternative embodiment, the process of determining the standard gray level threshold according to the standard gray level mean value and the reprint gray level mean value may further include steps S1062-S1066 in the steps shown in fig. 5. FIG. 5 is a flow chart illustrating the determination of the standard gray level threshold based on the standard gray level mean and the refolding gray level mean in one embodiment.
In step S1062, acquiring condition parameters corresponding to the infrared transmission image are acquired.
Specifically, the acquisition condition parameters may include the type of the acquisition device, the illumination condition of the acquisition environment, and the like.
In step S1064, the bill image data acquired under the acquisition condition parameters is acquired as reference sample data.
That is, in order to ensure that the collecting environment of the standard/double bill sample according to which the standard gray threshold is determined is consistent with the collecting environment of the detected target image, the influence of the difference of the collecting environment on the determination of the standard gray threshold is reduced.
In step S1066, the first grayscale threshold interval and the second grayscale threshold interval are determined according to the reference sample data.
The method comprises the steps of dividing sample data acquired under the same acquisition condition into a standard bill sample and a double bill sample, and accordingly correspondingly determining the gray level mean value of the corresponding standard bill and the gray level mean value of the double bill.
Thus, the first and second grayscale threshold intervals are determined according to the reference sample data, and S1072 to S1074 in the steps shown in fig. 6 may be further included. Fig. 6 shows a flow chart for determining the first and second gray threshold intervals from the reference sample data in one embodiment.
In step S1072, the actual number of sheets and the target number of sheets are determined based on the reference sample data.
The actual number of sheets here refers to the detected number of sheets determined by processing such as transmission image gradation analysis, and thus when there is a plurality of sheets stuck or a part of sheets folded, the corresponding actual number of sheets is correspondingly reduced. The target number of sheets is the number of sheets to be loaded into the inspection apparatus.
In step S1074, the reference sample data is divided into the standard bill sample and the double bill sample according to the actual bill number and the target bill number.
Specifically, the actual number of sheets and the target number of sheets may be matched, and the number of sheets that are not matched may be determined as a double-sheet sample.
In step S1024, an infrared transmission image of the to-be-detected bill is acquired, and a target detection image is determined according to the infrared transmission image.
First, the reason for acquiring the infrared transmission image in combination with the difference in gradation value caused by the difference in thickness between the standard bill and the double bill in the foregoing steps can be easily understood.
After the infrared transmission image of the bill to be detected is obtained, in order to further improve the accuracy of the double-sheet detection, in an optional embodiment, the infrared transmission image may be divided into a plurality of sub-regions according to the size of the bill, the image characteristics of the bill, and the like, and the matching of the gray level mean value and the double-sheet detection are performed on each sub-region respectively.
Thus, step S1024 may also include at least steps S1082-S1084 shown at 7. FIG. 7 illustrates a flow diagram for determining a target detection image from the infrared transmission image in one embodiment.
In step S1082, image area characteristic information corresponding to the target ticket type is obtained, where the image area characteristic includes image size information and image ticket number area information.
It is easy to understand that different types of bills have larger difference in size, the division degree of the sub-detection areas of the bills with smaller image areas can be smaller, and the division degree of the sub-detection areas of the bills with larger image areas can be larger, that is, the sub-detection areas can be detected according to the length of the check or the deposit receipt, and can be equally divided into 8 areas, 6 areas, 4 areas or the whole bill for detection.
In step S1084, the target detection image is determined according to the image area characteristic information, and the target detection image includes a plurality of sub transmission images corresponding to the infrared transmission image.
That is, when the infrared transmission image is divided into 8 regions, 6 regions, 4 regions, or is not divided (i.e., the entire image is detected), these sub-regions are respectively taken as the object detection images here.
In step S1026, a gray level mean value of the target detection image is obtained, and the gray level mean value is matched with the standard gray level threshold value to determine whether the to-be-detected bill has overlapped sheets.
The specific matching process may be to determine that the target detection image with the gray mean value smaller than the standard gray threshold is overlapped, and determine that the target detection image with the gray mean value smaller than the standard gray threshold is not overlapped.
In an optional embodiment, when all the sub transmission images corresponding to the infrared transmission images are judged to have no overlapped sheets, the bill to be detected is judged to have no overlapped sheets, and when any one of the corresponding sub transmission images is judged to have overlapped sheets as the target detection image, the bill to be detected is judged to have overlapped sheets.
Fig. 8 shows a block diagram of a detecting device for bill overlapping in one embodiment.
Referring to fig. 8, a bill double detection apparatus 1090 according to an embodiment of the present invention includes: an acquisition unit 1092, a determination unit 1094, and a determination unit 1096.
Wherein, the obtaining unit 1092: the method comprises the steps of acquiring a target bill type corresponding to a bill to be detected, and determining a standard gray threshold corresponding to the target bill type;
the determination unit 1094: the infrared transmission image acquisition module is used for acquiring an infrared transmission image of the bill to be detected and determining a target detection image according to the infrared transmission image;
the judging unit 1096: and the device is used for acquiring the gray average value of the target detection image, matching the gray average value with the standard gray threshold value and judging whether the bill to be detected has double sheets or not.
FIG. 9 is a diagram illustrating an internal structure of a computer device in one embodiment. The computer device may specifically be a terminal, and may also be a server. As shown in fig. 9, the computer device includes a processor, a memory and acquisition module, a communication module, a processing module connected by a system bus. Wherein the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and also stores a computer program, and when the computer program is executed by a processor, the computer program can enable the processor to realize the detection method of the bill overlapping. The internal memory may also store a computer program, and when the computer program is executed by the processor, the computer program may cause the processor to execute the method for detecting the presence of the duplicate ticket. Those skilled in the art will appreciate that the architecture shown in fig. 9 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is proposed, comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of:
acquiring a target bill type corresponding to a bill to be detected, and determining a standard gray threshold corresponding to the target bill type;
acquiring an infrared transmission image of the bill to be detected, and determining a target detection image according to the infrared transmission image;
and acquiring a gray average value of the target detection image, matching the gray average value with the standard gray threshold value, and judging whether the bill to be detected has double sheets.
In one embodiment, a computer-readable storage medium is proposed, in which a computer program is stored which, when executed by a processor, causes the processor to carry out the steps of:
acquiring a target bill type corresponding to a bill to be detected, and determining a standard gray threshold corresponding to the target bill type;
acquiring an infrared transmission image of the bill to be detected, and determining a target detection image according to the infrared transmission image;
and acquiring a gray average value of the target detection image, matching the gray average value with the standard gray threshold value, and judging whether the bill to be detected has double sheets.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method of detecting a double note, the method comprising:
acquiring a target bill type corresponding to a bill to be detected, and determining a standard gray threshold corresponding to the target bill type;
acquiring an infrared transmission image of the bill to be detected, and determining a target detection image according to the infrared transmission image;
and acquiring a gray average value of the target detection image, matching the gray average value with the standard gray threshold value, and judging whether the bill to be detected has double sheets.
2. The method of claim 1, wherein the determining a standard gray level threshold corresponding to the target document type comprises:
acquiring a first gray threshold interval and a second gray threshold interval corresponding to the target bill type, wherein the upper limit of the first gray threshold interval is smaller than the lower limit of the second gray threshold interval;
and determining the standard gray threshold according to the first gray threshold interval and the second gray threshold interval.
3. The method of claim 2, wherein the step of obtaining the first gray threshold interval and the second gray threshold interval corresponding to the target bill type comprises:
acquiring a standard bill sample and a double bill sample corresponding to the target bill type;
and determining the first gray threshold interval according to the double-sheet bill sample, and determining the second gray threshold interval according to the standard bill sample.
4. The method of claim 2, wherein determining the standard grayscale threshold from the first and second grayscale threshold intervals comprises:
determining a standard gray level mean value according to the first gray level threshold interval, and determining a refolding gray level mean value according to the second gray level threshold interval;
and determining the standard gray threshold value according to the standard gray average value and the refolding gray average value.
5. The method of claim 2, wherein the determining of the first and second threshold intervals further comprises:
acquiring acquisition condition parameters corresponding to the infrared transmission images;
acquiring bill image data acquired under the acquisition condition parameters as reference sample data;
and determining the first gray threshold interval and the second gray threshold interval according to the reference sample data.
6. The method of claim 5, wherein said determining said first and second gray threshold intervals from said reference sample data comprises:
determining the number of actual bills and the number of target bills according to the reference sample data;
dividing the reference sample data into a standard bill sample and a double-bill sample according to the actual bill number and the target bill number;
and determining the first gray threshold interval and the second gray threshold interval according to the standard bill sample and the double bill sample.
7. The method of claim 1, wherein determining an object detection image from the infrared transmission image comprises:
acquiring image area characteristic information corresponding to the target bill type, wherein the image area characteristic comprises image size information and image ticket number area information;
and determining the target detection image according to the image area characteristic information, wherein the target detection image comprises a plurality of sub transmission images corresponding to the infrared transmission image.
8. A device for detecting the presence of a double note, said device comprising:
an acquisition unit: the method comprises the steps of acquiring a target bill type corresponding to a bill to be detected, and determining a standard gray threshold corresponding to the target bill type;
a determination unit: the infrared transmission image acquisition module is used for acquiring an infrared transmission image of the bill to be detected and determining a target detection image according to the infrared transmission image;
a judging unit: and the device is used for acquiring the gray average value of the target detection image, matching the gray average value with the standard gray threshold value and judging whether the bill to be detected has double sheets or not.
9. A readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of the method according to any one of claims 1 to 7.
10. A computer device comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of the method according to any one of claims 1 to 7.
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Cited By (2)
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| CN114120518A (en) * | 2021-11-26 | 2022-03-01 | 深圳怡化电脑股份有限公司 | Method and device for detecting continuous paper money, electronic equipment and storage medium |
| CN115169335A (en) * | 2022-09-07 | 2022-10-11 | 深圳高灯计算机科技有限公司 | Invoice data calibration method and device, computer equipment and storage medium |
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