CN112509211A - Banknote detection method and device, banknote detection equipment and readable storage medium - Google Patents
Banknote detection method and device, banknote detection equipment and readable storage medium Download PDFInfo
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- CN112509211A CN112509211A CN201910795098.7A CN201910795098A CN112509211A CN 112509211 A CN112509211 A CN 112509211A CN 201910795098 A CN201910795098 A CN 201910795098A CN 112509211 A CN112509211 A CN 112509211A
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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
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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
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Abstract
The application provides a paper money detection method, a paper money detection device and a readable storage medium, and relates to the technical field of sensing detection. The method comprises the following steps: acquiring a first image obtained when paper money passes through a floating roller in money detecting equipment, wherein the first image comprises a first magnetic data area and a first non-magnetic data area which are obtained by sensing a magnetic area and a non-magnetic area of the paper money; and identifying and comparing the first magnetic data area and the first non-magnetic data area with a second magnetic data area and a second non-magnetic data area in a pre-stored second image respectively to obtain a detection result of the paper money, wherein the second image is a magnetic image obtained by sensing standard paper money corresponding to the paper money, and the problem of low accuracy of true and false identification of the paper money can be solved.
Description
Technical Field
The invention relates to the technical field of sensing detection, in particular to a paper money detection method, a paper money detection device and a readable storage medium.
Background
In the process of paper currency circulation, the authenticity identification of paper currency becomes a link in the process of paper currency circulation. There are two common ways of authenticating banknotes, one by hand and the other by machine means. When it is necessary to identify the authenticity of a large number of banknotes, in order to improve the efficiency of banknote identification, it is generally possible to identify the authenticity of banknotes using a banknote identifying apparatus. The currency detecting device can identify the authenticity of the paper currency through the magnetic material area on the paper currency in the paper currency identification process. In the prior art, when the paper money is detected and identified, the detection precision of the money detecting equipment is limited, so that the problem that the authenticity identification of the paper money is inaccurate in the detection process of the money detecting equipment is solved.
Disclosure of Invention
The application provides a paper currency detection method, a device, a currency detection device and a readable storage medium, which can solve the problem that the authenticity identification of paper currency is inaccurate.
In order to achieve the above purpose, the technical solutions provided in the embodiments of the present application are as follows:
in a first aspect, an embodiment of the present application provides a banknote detection method, where the method includes:
acquiring a first image obtained when paper money passes through a floating roller in money detecting equipment, wherein the first image comprises a first magnetic data area and a first non-magnetic data area which are obtained by sensing a magnetic area and a non-magnetic area of the paper money; and identifying and comparing the first magnetic data area and the first non-magnetic data area with a second magnetic data area and a second non-magnetic data area in a pre-stored second image respectively to obtain a detection result of the paper money, wherein the second image is a magnetic image obtained by sensing standard paper money corresponding to the paper money.
In the above embodiment, the magnetic data area and the non-magnetic data area obtained by collecting the paper money are respectively compared with the magnetic data area and the non-magnetic data area of the standard paper money, so that the phenomena of multiple magnetism and magnetic lack of the paper money can be detected, the detection precision of the paper money is improved, and the accuracy of identifying the authenticity of the paper money is improved.
With reference to the first aspect, in some optional embodiments, identifying and comparing the first magnetic data region and the first non-magnetic data region with a second magnetic data region and a second non-magnetic data region in a pre-stored second image, respectively, to obtain a detection result of the banknote includes:
adjusting the orientation and position of at least one of the first image and the second image so that the first image and the second image are coincident when the orientation is the same; determining a first area fraction of a region of coincidence of the first magnetic data region and the second magnetic data region, and a second area fraction of a region of coincidence of the first non-magnetic data region and the second non-magnetic data region; when the first area ratio is within a first preset threshold range and the second area ratio is within a second preset threshold range, determining that the detection result is a result indicating that the magnetic area of the paper money is normal; and when the first area ratio is not within the first preset threshold range or the second area ratio is not within the second preset threshold range, determining that the detection result is a result representing that the magnetic area of the paper currency is abnormal.
In the above-described embodiment, comparing the area ratio of the overlapping region of the magnetic data region and the area ratio of the overlapping region of the magnetic data region contributes to detecting the presence or absence of magnetism in the bill, and thus the accuracy of detection can be improved and the accuracy of authenticity identification of the bill can be improved.
With reference to the first aspect, in some alternative embodiments the first image includes a first magnetic parameter of a first magnetic dot in the first magnetic data region, and the first magnetic dot corresponds to a first position parameter on the dancer roll; before the first magnetic data region and the first non-magnetic data region are respectively identified and compared with a second magnetic data region and a second non-magnetic data region in a pre-stored second image, the method further includes:
acquiring a third image of the surface of the dancing roll, wherein the third image comprises a third magnetic data area of the surface magnetic area of the dancing roll, a third magnetic parameter of a third magnetic point in the third magnetic data area, and a third position parameter of the third magnetic point corresponding to the dancing roll; according to the first magnetic parameter, the first position parameter and the third position parameter, carrying out noise reduction processing on the first magnetic parameter in the first magnetic data area to obtain a magnetic data area and a non-magnetic data area of the first image after noise reduction; the identifying and comparing the first magnetic data area and the first non-magnetic data area with a second magnetic data area and a second non-magnetic data area in a pre-stored second image respectively comprises: and respectively identifying and comparing the magnetic data area and the non-magnetic data area of the first image after noise reduction with a second magnetic data area and a second non-magnetic data area in a pre-stored second image.
In the above embodiment, the first image after noise reduction is used to perform the subsequent banknote authenticity identification, which helps to reduce the influence of the interference signal in the image on the banknote authenticity identification and improve the accuracy of the banknote authenticity identification.
With reference to the first aspect, in some optional embodiments, the method further comprises:
determining the type of the paper currency based on a paper currency image obtained by obtaining the paper currency, wherein the type comprises the wear grade of the paper currency; selecting a standard paper money model with the same type as the paper money as a target model from a plurality of pre-stored standard paper money models; comparing a first magnetic parameter of a first magnetic point in the first magnetic data area with a preset parameter range of a magnetic point in the target model, wherein the magnetic point has the same relative position with the first magnetic point; when the detection result is a result indicating that the magnetic area of the paper currency is normal, the first magnetic parameter is within the preset parameter range, and the number of the first magnetic points corresponding to the first magnetic parameter within the preset parameter range is greater than or equal to a specified number, determining that the detection result is a result indicating that the paper currency is normal; or when the detection result is a result indicating that the magnetic area of the paper money is normal, the first magnetic parameter is within the preset parameter range, and the area formed by the first magnetic point corresponding to the first magnetic parameter within the preset parameter range is greater than or equal to a specified area threshold value, determining that the detection result is a result indicating that the paper money is normal.
In the above embodiment, the standard banknote model corresponding to the type of the banknote is selected to identify the authenticity of the banknote, so that the authenticity identification types of multiple types of banknotes can be identified, and the accuracy of authenticity identification of different types of banknotes can be improved.
With reference to the first aspect, in some alternative embodiments, selecting a standard banknote model of the same type as the banknote as a target model from a plurality of pre-stored standard banknote models includes:
when the target model corresponding to the paper currency is not selected, acquiring a second image of the standard paper currency with the same type as the paper currency, wherein the second image comprises a second magnetic data area and a second non-magnetic data area which are obtained after the magnetic area and the non-magnetic area of the standard paper currency are subjected to denoising treatment; determining the second image as the target model of the banknote.
In the above-described embodiment, when the target model corresponding to the banknote is not acquired, the target model corresponding to the banknote may be newly determined and stored so that the authenticity of the banknote can be recognized using the target model.
In combination with the first aspect, in some alternative embodiments, prior to acquiring the first image of the banknote during its passage over the dancer roller in the banknote validator, the method further comprises:
acquiring an image set of at least one type of standard banknotes, wherein the image set comprises a plurality of standard images with the same type and different banknote numbers of the standard banknotes, the type of the standard banknotes comprises at least one of currency, denomination and wear grade of the standard banknotes, and the standard images comprise a second magnetic data area and a second non-magnetic data area which are acquired after denoising processing of a magnetic area and a non-magnetic area of the standard banknotes; and fusing the plurality of standard images to obtain an image corresponding to the type as the second image.
In the above-described embodiment, by fusing a plurality of standard images, the reliability and accuracy of the second image obtained by fusing as a basis for identifying the authenticity of the banknote can be improved.
In a third aspect, an embodiment of the present application further provides a banknote detection apparatus, including:
the image acquisition unit is used for acquiring a first image obtained by paper money in the process of passing through a floating roller in money detection equipment, wherein the first image comprises a first magnetic data area and a first non-magnetic data area which are obtained by sensing a magnetic area and a non-magnetic area of the paper money;
and the detection unit is used for respectively identifying and comparing the first magnetic data area and the first non-magnetic data area with a second magnetic data area and a second non-magnetic data area in a pre-stored second image to obtain a detection result of the paper money, wherein the second image is a magnetic image obtained by sensing standard paper money corresponding to the paper money.
With reference to the second aspect, in some optional embodiments, the detection unit is further configured to:
adjusting the orientation and position of at least one of the first image and the second image so that the first image and the second image are coincident when the orientation is the same;
determining a first area fraction of a region of coincidence of the first magnetic data region and the second magnetic data region, and a second area fraction of a region of coincidence of the first non-magnetic data region and the second non-magnetic data region;
when the first area ratio is within a first preset threshold range and the second area ratio is within a second preset threshold range, determining that the detection result is a result indicating that the magnetic area of the paper money is normal;
and when the first area ratio is not within the first preset threshold range or the second area ratio is not within the second preset threshold range, determining that the detection result is a result representing that the magnetic area of the paper currency is abnormal.
In a third aspect, an embodiment of the present application further provides a banknote checking apparatus, where the banknote checking apparatus includes a memory and a processor coupled to each other, and a computer program is stored in the memory, and when the computer program is executed by the processor, the banknote checking apparatus is enabled to perform the above method.
In a fourth aspect, the present application further provides a computer-readable storage medium, in which a computer program is stored, and when the computer program runs on a computer, the computer is caused to execute the above method.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly described below. It is appreciated that the following drawings depict only certain embodiments of the application and are therefore not to be considered limiting of its scope, for those skilled in the art will be able to derive additional related drawings therefrom without the benefit of the inventive faculty.
Fig. 1 is a schematic circuit structure diagram of a banknote checking apparatus provided in an embodiment of the present application.
Fig. 2 is a schematic diagram illustrating cooperation among a floating roller, a magnetic sensor, and an image sensor in the banknote checking apparatus according to the embodiment of the present application.
Fig. 3 is a schematic flow chart of a banknote detection method according to an embodiment of the present application.
Fig. 4 is a schematic diagram of a banknote provided in an embodiment of the present application.
FIG. 5 is a schematic plan view of a magnetic wave induced in the banknote shown in FIG. 4.
FIG. 6 is a side view of magnetic waves induced in the note shown in FIG. 4.
FIG. 7 is a schematic illustration of the distribution of magnetic regions in the image shown in FIG. 5.
Fig. 8 is a schematic block diagram of a banknote detection apparatus according to an embodiment of the present application.
Icon: 10-a banknote validating apparatus; 11-a processing module; 12-a storage module; 13-a magnetic sensor; 14-an image sensor; 15-a dancer roll; 100-banknote detection means; 110-an image acquisition unit; 120-detection unit.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application. It should be noted that the terms "first," "second," and the like are used merely to distinguish one description from another, and are not intended to indicate or imply relative importance.
Referring to fig. 1, the present application provides a banknote verification apparatus 10, which can be used to perform or implement the following steps of a banknote detection method, and can be used to identify the authenticity of a banknote having a magnetic material, so as to solve the problem of inaccurate banknote identification.
The banknote validating apparatus 10 may include a processing module 11, a storage module 12, a magnetic sensor 13, an image sensor 14, a floating roller 15, and a banknote detection device 100, wherein the processing module 11, the storage module 12, the magnetic sensor 13, the image sensor 14, and the banknote detection device 100 (see fig. 8) are electrically connected directly/indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines.
The processing module 11 may be an integrated circuit chip having signal processing capabilities. The processing module 11 may be a general-purpose processor. For example, the processor may be a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), or the like; the method, the steps and the logic block diagram disclosed in the embodiments of the present Application may also be implemented or executed by a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.
The memory module 12 may be, but is not limited to, a random access memory, a read only memory, a programmable read only memory, an erasable programmable read only memory, an electrically erasable programmable read only memory, and the like. In this embodiment, the storage module 12 can be used for storing surface images of banknotes, magnetic images including magnetic data regions and non-magnetic data regions, magnetic parameters, and the like. Of course, the storage module 12 may also be used to store a program, and the processing module 11 executes the program after receiving the execution instruction.
The magnetic sensor 13 is used for sensing the magnetic material area in the paper currency to obtain the magnetic image of the paper currency. The magnetic image may include magnetic intensity induced from individual magnetic dots in the magnetic material region of the banknote or a magnetic wave image formed by the induced magnetic material region.
Referring to fig. 2, in the present embodiment, the magnetic sensor 13 may include a plurality of channels for sensing the magnetic strength of the magnetic material in the paper money. Understandably, a sensor probe for sensing the magnetic strength of the magnetic material in the banknote is provided in each channel. The validator 10 may fuse the magnetic intensity data collected by all of the channels in the magnetic sensor 13 to form a magnetic image of the banknote. The magnetic image obtained by the magnetic sensor 13 generally includes a magnetic image in the outline region of the bill and a magnetic image outside the outline region of the bill. For banknotes that are magnetic, such banknotes typically have multiple regions of magnetic material therein, and therefore, the magnetic image obtained by acquiring such banknotes typically includes multiple magnetic regions therein.
In the present embodiment, the number of channels in the magnetic sensor 13 may be set according to actual situations, for example, the number of channels may be 18, 20, etc., and the number of channels of the magnetic sensor 13 is not limited herein.
The Image Sensor 14 may be used to capture an Image of the surface of the bill, for example, the Image Sensor 14 may be, but is not limited to, a CIS (Contact Image Sensor) Sensor, a CCD (Charge Coupled Device) Sensor, or a Sensor formed by an array of CCD (Charge Coupled devices). Wherein the acquired surface image can be incorporated into the magnetic image for determining the banknote contour region in the magnetic image to reduce the area of the magnetic image that needs to be identified.
In operation of the banknote validator 10, the floating roller 15 is rotated electrically. The floating roller 15 can drive the paper currency to be attached to the magnetic sensor 13 and the image sensor 14 to move in the rotating process, and the magnetic sensor 13 and the image sensor 14 can acquire corresponding images of the paper currency from the paper currency in the moving process of the paper currency. The dancer 15 itself is usually not magnetic, and after the banknote verification device 10 is operated for a long time, the dancer 15 is stained with magnetic materials on the banknotes, so that magnetic images acquired by the magnetic sensor 13 on the banknotes and including magnetic parameters contain noise data. The noise data is a magnetic parameter (i.e., magnetic strength) of the magnetic material adhered to the surface of the dancer 15. The embodiment provided by the application can perform noise reduction processing on the acquired magnetic image of the paper currency so as to solve the problem that the accuracy of paper currency authenticity identification is influenced by noise data when the paper currency identification is performed by using the magnetic image because the magnetic parameters in the acquired magnetic image of the paper currency contain the noise data.
The bill detecting device 100 includes at least one software function module which may be stored in the form of software or firmware (firmware) in the memory module 12 or solidified in an Operating System (OS) of the bill checking apparatus 10. The processing module 11 is used for executing executable modules stored in the storage module 12, such as software functional modules and computer programs included in the banknote detection apparatus 100.
It is to be understood that the configuration shown in fig. 1 is merely a schematic configuration of the banknote validating apparatus 10, and that the banknote validating apparatus 10 may also include more components than those shown in fig. 1. The components shown in fig. 1 may be implemented in hardware, software, or a combination thereof.
Referring to fig. 3, an embodiment of the present application further provides a banknote detection method. The banknote detection method may be applied to the above-described banknote validation apparatus 10, and the steps of the banknote detection method may be performed or realized by the banknote validation apparatus 10.
In this embodiment, the banknote detection method may include the steps of:
step S210, acquiring a first image obtained when the paper currency passes through a floating roller 15 in the currency detection device 10, wherein the first image comprises a first magnetic data area and a first non-magnetic data area which are obtained by sensing a magnetic area and a non-magnetic area of the paper currency;
step S220, identifying and comparing the first magnetic data area and the first non-magnetic data area with a second magnetic data area and a second non-magnetic data area in a pre-stored second image, respectively, to obtain a detection result of the banknote, where the second image is a magnetic image obtained by sensing a standard banknote corresponding to the banknote.
In the above embodiment, the magnetic data area and the non-magnetic data area obtained by picking up the banknotes are compared with the magnetic data area and the non-magnetic data area of the standard banknotes, respectively, so that the phenomena of multiple magnetism and lack of magnetism of the banknotes can be detected. Therefore, the method is beneficial to improving the detection precision of the paper money and can solve the problem of inaccurate authenticity identification of the paper money.
The steps of the banknote detection method shown in fig. 3 will be explained in detail below:
step S210, acquiring a first image obtained when the banknote passes through the floating roller 15 in the banknote checking apparatus 10, where the first image includes a first magnetic data area and a first non-magnetic data area obtained by sensing a magnetic area and a non-magnetic area of the banknote.
In this embodiment, when the banknote checking apparatus 10 operates, the floating roller 15 of the banknote checking apparatus 10 may drive the banknote to move in contact with the magnetic sensor 13. During the process of the paper currency passing through the magnetic sensor 13, the magnetic sensor 13 can sense the magnetic area and the non-magnetic area on the paper currency to obtain a first image. Understandably, the magnetic sensor 13 may sense magnetic regions on the note to obtain an image of the magnetic data regions and non-magnetic regions on the note to obtain an image of the non-magnetic data regions to form a first image.
After the magnetic sensor 13 senses the first image, the processing module 11 of the banknote verification device 10 may perform recognition processing on the first image to realize authenticity recognition of the banknote.
Referring to fig. 4 and 5 in combination, the image shown in fig. 4 can be understood as the surface image of a banknote acquired by the image sensor 14 for the fifth set (2015 edition) of 100-dollar-per-capita currency. When the banknote in fig. 4 is a genuine banknote, the square area marked in fig. 4 is a magnetic area corresponding to the genuine banknote (or referred to as a standard banknote). The stripe region in fig. 5 is an image of a magnetic data region obtained by the magnetic sensor 13 sensing the magnetic region, and the image region not including the stripe in fig. 5 is an image of a non-magnetic data region obtained by the magnetic sensor 13 sensing the non-magnetic region.
The image shown in fig. 5 can be understood as a magnetic image (i.e. the first image if the banknote to be measured is the 18-channel magnetic sensor 13) obtained by collecting the banknote (which may be the banknote to be measured, or the banknote to be measured/standard banknote) shown in fig. 4. The magnetic image can be understood as a three-dimensional waveform image, and the image shown in fig. 5 is a top view of the magnetic image. The magnetic image includes an image in the banknote outline region (the outline region of the banknote is understood to be the region between two dark lines in the image shown in fig. 5) and an image outside the banknote outline region. The acquired magnetic data may include 1248 lines of magnetic parameters (of course, other lines may be possible, and are not limited in particular here) for each channel of the magnetic sensor 13 in the width direction of the top view image. The magnetic parameter may be a magnetic strength of a magnetic spot in the magnetic region.
The image shown in fig. 6 can be understood as a formed magnetic wave image of the magnetic parameters sensed at the 18 channels of the magnetic sensor 13. The magnetic wave image can be seen as a side view of the magnetic image shown in fig. 5. If the image shown in fig. 5 is a magnetic image of the bill to be measured, the magnetic parameters of the dancer roll 15 and the magnetic parameters of the bill are included in the magnetic wave image.
The image shown in fig. 7 can be understood as dividing the magnetic data region in the magnetic image shown in fig. 5, and the square region in fig. 7 is the region where the magnetic data obtained by the division is located.
In the present embodiment, the banknote validating apparatus 10 may store a magnetic image of a standard banknote and a threshold range corresponding to the standard banknote prior to identifying the banknote. The magnetic image (second image) of the standard banknote includes images including magnetic data regions and non-magnetic data regions obtained by sensing the magnetic regions and non-magnetic regions on the standard banknote. The threshold range corresponding to the standard banknote can be determined by collecting magnetic parameters obtained from a plurality of genuine banknotes of the same type. The banknote validating apparatus 10 can store magnetic images of standard banknotes corresponding to one or more types of banknotes and corresponding threshold ranges. The banknote type includes the denomination, version, and wear level of the banknote. If the magnetic image of the standard banknote corresponding to the type of the banknote and the corresponding threshold range are not stored in the banknote verification apparatus 10, the magnetic image and the threshold range of the genuine banknote having the same type as the banknote are acquired as the magnetic image and the threshold range of the standard banknote.
For example, prior to step S210, the method may include: acquiring an image set of at least one type of standard banknotes, wherein the image set comprises a plurality of standard images with the same type and different banknote numbers of the standard banknotes, the type of the standard banknotes comprises at least one of currency, denomination and wear grade of the standard banknotes, and the standard images comprise a second magnetic data area and a second non-magnetic data area which are acquired after denoising processing of a magnetic area and a non-magnetic area of the standard banknotes; and fusing the plurality of standard images to obtain an image corresponding to the type as the second image.
Understandably, for each type of standard banknote, in the image set of the standard banknote, the magnetic images of the genuine banknotes with the same banknote type and different samples (i.e. different banknote numbers) can be included, so that the magnetic parameters in the magnetic images of the genuine banknotes of a plurality of different samples are fused to obtain the magnetic image representing the overall magnetic characteristics of the genuine banknotes of the type. The real banknotes of the plurality of different samples are beneficial to improving the accuracy of determining the corresponding preset parameter range of the real banknote template. Of course, in other embodiments, only a single sample magnetic image of a genuine banknote may be used as the magnetic image of the template of the genuine banknote.
Different types of paper money need to be identified and judged by adopting the parameter range (or threshold range) of the corresponding type of standard paper money (real paper money template). For example, if it is recognized that the banknote to be detected is a banknote of the fifth denomination (2015 year edition) of 100 yuan and the wear level is 1, when the banknote is subjected to authenticity recognition, the parameter range of the standard banknote (genuine banknote template) of the fifth denomination of 100 yuan and the wear level of 1 is selected for recognition and judgment.
The wear grade range of the paper money can be set according to actual conditions. The wear level may be determined based on a range of levels in conjunction with the captured surface image of the banknote. For example, the wear level of a banknote may be determined from the grey scale values of one or more light-coloured (e.g. white) image areas in an image of the surface of the banknote. The larger the gray value is, the more worn the banknote is, the larger the wear level is (the larger the wear level is, the more worn the banknote is), and based on the set correspondence between the gray value and the wear level, the wear level can be determined according to the gray value, wherein the correspondence can be set according to the actual situation.
Understandably, the greater the wear of a banknote, the less the magnetic strength of the magnetic regions representing the banknote. Therefore, for the paper money with the same currency, the same denomination and the same version, the corresponding threshold value range can be set based on different abrasion grades to judge and identify the magnetic parameters in the magnetic image of the paper money, so as to improve the accuracy of identifying the paper money, and further solve the problem that the detection of the paper money is inaccurate due to the overlarge abrasion grade of the paper money.
Step S220, identifying and comparing the first magnetic data area and the first non-magnetic data area with a second magnetic data area and a second non-magnetic data area in a pre-stored second image, respectively, to obtain a detection result of the banknote, where the second image is a magnetic image obtained by sensing a standard banknote corresponding to the banknote.
In the present embodiment, the first magnetic data region generally includes a plurality of sub-regions, and the second magnetic data region generally includes a plurality of sub-regions (for example, in fig. 7, the maximum closed region formed by the line connection may be regarded as one sub-region). The banknote validating apparatus 10 can identify a first number of sub-regions in the first magnetic data region in comparison to a second number of sub-regions in the second magnetic data region. And if the first quantity is the same as the second quantity, determining that the quantity of the magnetic areas of the paper money is normal. If the first number is smaller than the second number, the paper currency is determined to lack the magnetic areas, and the abnormal number of the magnetic areas of the paper currency is indicated. If the first number is larger than the second number, the paper currency is determined to have redundant magnetic areas, and the abnormal number of the magnetic areas of the paper currency is indicated.
In addition, when the first number and the second number are the same, the identification comparison of each sub-region in the first magnetic data region and the shape, the area, the amplitude threshold value and the like of the corresponding sub-region in the second magnetic data region can be continued. If the similarity of the shapes is within a preset range (which can be set according to actual conditions), determining that the shapes of the sub-regions are normal, otherwise, determining that the shapes of the sub-regions are abnormal. And if the difference value of the areas of the two corresponding sub-regions in the first magnetic data region and the second magnetic data region is within a preset difference value range, determining that the areas of the sub-regions are normal, otherwise, determining that the areas of the sub-regions are abnormal.
Understandably, if the recognized results are all normal, the banknote is indicated as a true banknote, and if one or more abnormalities exist in the recognized results, the banknote is indicated as a false banknote, or the banknote is directly determined as a false banknote. The determination condition for determining that the banknote is a counterfeit banknote may be set according to actual conditions, and is not particularly limited herein.
For example, as an alternative implementation, step S220 may include: adjusting the orientation and position of at least one of the first image and the second image so that the first image and the second image are coincident when the orientation is the same; determining a first area fraction of a region of coincidence of the first magnetic data region and the second magnetic data region, and a second area fraction of a region of coincidence of the first non-magnetic data region and the second non-magnetic data region; when the first area ratio is within a first preset threshold range and the second area ratio is within a second preset threshold range, determining that the detection result is a result indicating that the magnetic area of the paper money is normal; and when the first area ratio is not within the first preset threshold range or the second area ratio is not within the second preset threshold range, determining that the detection result is a result representing that the magnetic area of the paper currency is abnormal.
The first area ratio may be a ratio of areas of the overlapping region of the first magnetic data region and the second magnetic data region to the first magnetic data region, or a ratio of areas of the overlapping region of the first magnetic data region and the second magnetic data region to the second magnetic data region. Similarly, the second area ratio is similar to the first area ratio, and is not described herein again. It should be noted that the first preset threshold range and the second preset threshold range may be set according to actual situations, and are not specifically limited herein.
Since the direction of the collected banknote is random, the resulting first image of the banknote is also random in orientation, while the position of the sub-regions of the magnetic data region that are different in orientation to the collected region is different. In order to facilitate subsequent uniform processing of the first image, the orientation of the first image may be normalized, i.e. one direction is taken as a standard direction.
For example, the face of the bill shown in fig. 4 is referred to as the face facing upward (abbreviated as FU), and this direction is referred to as the normal direction (of course, other directions may be referred to as normal directions). The facing of the banknotes may also include other three facing, i.e., face-down (abbreviated FD), face-up (abbreviated BU), and face-down (abbreviated BD). The normalization process of the orientation of the first image is to be understood that if the orientation of the image is not the standard orientation (for example, FD), the orientation of the image is flipped left and right, flipped up and down, rotated by 180 °, and the like, so that the flipped or rotated orientation is the standard orientation.
As an alternative embodiment, the first image comprises a first magnetic parameter of a first magnetic dot in the first magnetic data area, and the first magnetic dot corresponds to a first position parameter on the dancer 15. Prior to step S220, the method may comprise: acquiring a third image of the surface of the floating roller 15, wherein the third image comprises a third magnetic data area of the magnetic area of the surface of the floating roller 15, a third magnetic parameter of a third magnetic point in the third magnetic data area, and a third position parameter of the third magnetic point corresponding to the floating roller 15; and according to the first magnetic parameter, the first position parameter and the third position parameter, carrying out noise reduction processing on the first magnetic parameter in the first magnetic data area to obtain a magnetic data area and a non-magnetic data area of the first image after noise reduction.
In this embodiment, the first magnetic point is a point carrying a magnetic parameter in the first image. The third magnetic point is a point carrying magnetic parameters in the third image. The number of magnetic dots is usually plural, and the number is not particularly limited. The first magnetic parameters in the first image typically include the magnetic parameters of the banknote itself and the magnetic parameters of the dancer 15 surface (third magnetic parameters). That is, the first image contains noise data, which is the third magnetic parameter, that affects the accuracy of the banknote authentication. In this embodiment, the first image may be subjected to noise reduction processing to remove the influence of the third magnetic parameter on the banknote recognition, thereby contributing to improvement of the accuracy of the banknote recognition.
The process of performing noise reduction processing on the first image may be: and performing registration alignment on the first magnetic data region and the third magnetic data region based on the first position parameter of the magnetic dots in the first magnetic data region and the third position parameter of the magnetic dots in the third magnetic data region, so that the positions of the magnetic dots in the first magnetic data region and the magnetic dots in the third magnetic data region on the dancing roller 15 after registration alignment are the same as the positions of the magnetic dots in the dancing roller 15. After the images are aligned for registration, the magnetic strength of each magnetic dot in the first magnetic data region may be subtracted from the magnetic strength of the magnetic dot in the third magnetic data region that is coincident with the magnetic dot in the first magnetic data region to obtain a new magnetic strength. And a magnetic image formed by the new magnetic strength of each magnetic point in the first magnetic data area is the first image subjected to noise reduction.
After the noise reduction processing is performed on the magnetic parameters in the first image, step S220 may further include: and respectively identifying and comparing the magnetic data area and the non-magnetic data area of the first image after noise reduction with a second magnetic data area and a second non-magnetic data area in a pre-stored second image.
In the above embodiment, the first image after noise reduction is used to perform the subsequent banknote authenticity identification, which helps to reduce the influence of the interference signal in the image on the banknote authenticity identification and improve the accuracy of the banknote authenticity identification.
As an optional implementation, the method may further include: determining the type of the paper currency based on a paper currency image obtained by obtaining the paper currency, wherein the type comprises the wear grade of the paper currency; selecting a standard paper money model with the same type as the paper money as a target model from a plurality of pre-stored standard paper money models; and comparing the first magnetic parameter of the first magnetic point in the first magnetic data area with a preset parameter range of the magnetic point with the same relative position with the first magnetic point in the target model.
The banknote image obtained by acquiring the banknote is the surface image of the banknote. The banknote validator 10 can determine the currency, denomination and version of a banknote by numbers, characters, patterns, etc. in the surface image. In determining the wear level, the wear level may be determined based on the gray level of the gray level that the white area in the banknote appears on the image. The determination process may refer to the determination of the wear level described above, and will not be described in detail here. The type and value range of the preset parameter range may be selected according to actual situations, and may include, but are not limited to, an amplitude range of the magnetic wave, a wavelength range of a half-wave of the magnetic wave, a peak-to-peak distance range, and a peak-to-valley/peak distance range.
In this embodiment, the method may select the corresponding threshold range for detection according to the type group of the banknote. In addition, the classification verification can be carried out according to the requirements according to the rigor degree of the authenticity identification. For example, for strict verification identification, if the verification results of all items are normal, the banknote is determined to be a true banknote; for loose verification identification, when one or more verification results are normal, even if other verification results are abnormal, the banknote can be preliminarily considered as a true banknote.
For example, when the detection result is a result indicating that the magnetic area of the banknote is normal, the first magnetic parameter is within the preset parameter range, and the number of the first magnetic points corresponding to the first magnetic parameter within the preset parameter range is greater than or equal to a specified number, the detection result is determined to be a result indicating that the banknote is normal. The specified number can be set according to actual conditions, and is not particularly limited herein.
Or when the detection result is a result indicating that the magnetic area of the paper money is normal, the first magnetic parameter is within the preset parameter range, and the area formed by the first magnetic point corresponding to the first magnetic parameter within the preset parameter range is greater than or equal to a specified area threshold value, determining that the detection result is a result indicating that the paper money is normal. The designated area threshold may be set according to actual conditions, and is not particularly limited herein.
In this embodiment, selecting a standard banknote model of the same type as the banknote as a target model from a plurality of pre-stored standard banknote models may include: when the target model corresponding to the paper currency is not selected, acquiring a second image of the standard paper currency with the same type as the paper currency, wherein the second image comprises a second magnetic data area and a second non-magnetic data area which are obtained after the magnetic area and the non-magnetic area of the standard paper currency are subjected to denoising treatment; determining the second image as the target model of the banknote.
In the present embodiment, the banknote validating apparatus 10 may store one or more types of standard banknote models according to actual needs. If the banknote verification apparatus 10 does not store the target model of the banknote to be recognized, the magnetic sensor 13 may be used to acquire the magnetic parameters of the genuine banknote (standard banknote) of the same type as the banknote to obtain the magnetic image. And if the magnetic image has noise data, denoising the magnetic image, and obtaining the magnetic image which is the target model after the denoising. Therefore, when the authenticity of the paper currency is identified, the target model corresponding to the paper currency can be selected so as to identify the authenticity of the paper currency by using the target model.
Referring to fig. 8, the present embodiment further provides a banknote detection device 100, which can be applied to the above-mentioned banknote verification apparatus 10. The banknote testing device 100 may include an image acquisition unit 110 and a testing unit 120, which may be used to perform or implement the steps of the banknote testing method.
The image acquiring unit 110 is configured to acquire a first image of the banknote during the banknote passing through the floating roller 15 in the banknote verification apparatus 10, where the first image includes a first magnetic data region and a first non-magnetic data region obtained by sensing a magnetic region and a non-magnetic region of the banknote.
The detection unit 120 is configured to identify and compare the first magnetic data area and the first non-magnetic data area with a second magnetic data area and a second non-magnetic data area in a pre-stored second image, respectively, to obtain a detection result of the banknote, where the second image is a magnetic image obtained by sensing a standard banknote corresponding to the banknote.
Optionally, the detection unit 120 is further configured to: adjusting the orientation and position of at least one of the first image and the second image so that the first image and the second image are coincident when the orientation is the same; determining a first area fraction of a region of coincidence of the first magnetic data region and the second magnetic data region, and a second area fraction of a region of coincidence of the first non-magnetic data region and the second non-magnetic data region; when the first area ratio is within a first preset threshold range and the second area ratio is within a second preset threshold range, determining that the detection result is a result indicating that the magnetic area of the paper money is normal; and when the first area ratio is not within the first preset threshold range or the second area ratio is not within the second preset threshold range, determining that the detection result is a result representing that the magnetic area of the paper currency is abnormal.
Optionally, the banknote detection apparatus 100 may further include a noise reduction unit. The first image includes a first magnetic parameter of a first magnetic dot in the first magnetic data region, and the first magnetic dot corresponds to a first position parameter on the dancer 15. Before the detection unit 120 performs step S220, the image acquisition unit 110 may be further configured to: acquiring a third image of the surface of the floating roller 15, wherein the third image comprises a third magnetic data area of the magnetic area of the surface of the floating roller 15, a third magnetic parameter of a third magnetic point in the third magnetic data area, and a third position parameter of the third magnetic point corresponding to the floating roller 15.
The noise reduction unit is used for: and according to the first magnetic parameter, the first position parameter and the third position parameter, carrying out noise reduction processing on the first magnetic parameter in the first magnetic data area to obtain a magnetic data area and a non-magnetic data area of the first image after noise reduction.
After noise reduction, the detection unit 120 may be configured to: and respectively identifying and comparing the magnetic data area and the non-magnetic data area of the first image after noise reduction with a second magnetic data area and a second non-magnetic data area in a pre-stored second image.
Alternatively, the banknote detection apparatus 100 may further include a wear level determination unit, a model selection unit, a comparison unit, and a result determination unit.
Wherein the wear level determination unit is configured to: determining the type of the paper currency based on the paper currency image obtained by obtaining the paper currency, wherein the type comprises the wear grade of the paper currency.
The model selection unit is configured to: and selecting a standard paper money model with the same type as the paper money as a target model from a plurality of pre-stored standard paper money models.
The comparison unit is used for: comparing the first magnetic parameter of the first magnetic point in the first magnetic data area with the preset parameter range of the magnetic point with the same relative position with the first magnetic point in the target model
The result determination unit is to: when the detection result is a result indicating that the magnetic area of the paper currency is normal, the first magnetic parameter is within the preset parameter range, and the number of the first magnetic points corresponding to the first magnetic parameter within the preset parameter range is greater than or equal to a specified number, determining that the detection result is a result indicating that the paper currency is normal; or when the detection result is a result indicating that the magnetic area of the paper money is normal, the first magnetic parameter is within the preset parameter range, and the area formed by the first magnetic point corresponding to the first magnetic parameter within the preset parameter range is greater than or equal to a specified area threshold value, determining that the detection result is a result indicating that the paper money is normal.
Optionally, the model selection unit may be further configured to: when the target model corresponding to the paper currency is not selected, acquiring a second image of the standard paper currency with the same type as the paper currency, wherein the second image comprises a second magnetic data area and a second non-magnetic data area which are obtained after the magnetic area and the non-magnetic area of the standard paper currency are subjected to denoising treatment; determining the second image as the target model of the banknote.
Optionally, the banknote detection apparatus 100 may further include a fusion unit. Before the image acquisition unit 110 performs step S210, the image acquisition unit 110 may be further configured to: acquiring an image set of at least one type of standard banknotes, wherein the image set comprises a plurality of standard images with the same type and different banknote numbers of the standard banknotes, the type of the standard banknotes comprises at least one of currency, denomination and wear grade of the standard banknotes, and the standard images comprise a second magnetic data area and a second non-magnetic data area which are acquired after denoising processing of a magnetic area and a non-magnetic area of the standard banknotes. The fusion unit is used for: and fusing the plurality of standard images to obtain an image corresponding to the type as the second image.
It should be noted that, as will be clear to those skilled in the art, for convenience and brevity of description, the specific working processes of the above described banknote verification device 10 and banknote detection apparatus 100 may refer to the corresponding processes of the steps in the foregoing method, and will not be described in detail herein.
The embodiment of the application also provides a computer readable storage medium. The readable storage medium has stored therein a computer program that, when run on a computer, causes the computer to execute the bill detecting method as described in the above embodiments.
From the above description of the embodiments, it is clear to those skilled in the art that the present application can be implemented by hardware, or by software plus a necessary general hardware platform, and based on such understanding, the technical solution of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.), and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the method described in the embodiments of the present application.
In summary, the present application provides a banknote detection method, a banknote detection device, a banknote detection apparatus, and a readable storage medium. The method comprises the following steps: acquiring a first image obtained when paper money passes through a floating roller in money detecting equipment, wherein the first image comprises a first magnetic data area and a first non-magnetic data area which are obtained by sensing a magnetic area and a non-magnetic area of the paper money; and identifying and comparing the first magnetic data area and the first non-magnetic data area with a second magnetic data area and a second non-magnetic data area in a pre-stored second image respectively to obtain a detection result of the paper money, wherein the second image is a magnetic image obtained by sensing standard paper money corresponding to the paper money. In the scheme, the magnetic data area and the non-magnetic data area obtained by collecting the paper money are respectively compared with the magnetic data area and the non-magnetic data area of the standard paper money, so that the phenomena of magnetism shortage and magnetism shortage of the paper money can be detected, the detection precision of the paper money is improved, and the accuracy of true and false identification of the paper money is improved.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus, system, and method may be implemented in other ways. The apparatus, system, and method embodiments described above are illustrative only, as the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. A banknote testing method, characterized in that it comprises:
acquiring a first image obtained when paper money passes through a floating roller in money detecting equipment, wherein the first image comprises a first magnetic data area and a first non-magnetic data area which are obtained by sensing a magnetic area and a non-magnetic area of the paper money;
and identifying and comparing the first magnetic data area and the first non-magnetic data area with a second magnetic data area and a second non-magnetic data area in a pre-stored second image respectively to obtain a detection result of the paper money, wherein the second image is a magnetic image obtained by sensing standard paper money corresponding to the paper money.
2. The method according to claim 1, wherein identifying and comparing the first magnetic data area and the first non-magnetic data area with a second magnetic data area and a second non-magnetic data area in a pre-stored second image respectively to obtain the detection result of the banknote comprises:
adjusting the orientation and position of at least one of the first image and the second image so that the first image and the second image are coincident when the orientation is the same;
determining a first area fraction of a region of coincidence of the first magnetic data region and the second magnetic data region, and a second area fraction of a region of coincidence of the first non-magnetic data region and the second non-magnetic data region;
when the first area ratio is within a first preset threshold range and the second area ratio is within a second preset threshold range, determining that the detection result is a result indicating that the magnetic area of the paper money is normal;
and when the first area ratio is not within the first preset threshold range or the second area ratio is not within the second preset threshold range, determining that the detection result is a result representing that the magnetic area of the paper currency is abnormal.
3. The method of claim 1, wherein the first image comprises a first magnetic parameter of a first magnetic dot in the first magnetic data region, and the first magnetic dot corresponds to a first position parameter on the dancer roll;
before the first magnetic data region and the first non-magnetic data region are respectively identified and compared with a second magnetic data region and a second non-magnetic data region in a pre-stored second image, the method further includes:
acquiring a third image of the surface of the dancing roll, wherein the third image comprises a third magnetic data area of the surface magnetic area of the dancing roll, a third magnetic parameter of a third magnetic point in the third magnetic data area, and a third position parameter of the third magnetic point corresponding to the dancing roll;
according to the first magnetic parameter, the first position parameter and the third position parameter, carrying out noise reduction processing on the first magnetic parameter in the first magnetic data area to obtain a magnetic data area and a non-magnetic data area of the first image after noise reduction;
the identifying and comparing the first magnetic data area and the first non-magnetic data area with a second magnetic data area and a second non-magnetic data area in a pre-stored second image respectively comprises:
and respectively identifying and comparing the magnetic data area and the non-magnetic data area of the first image after noise reduction with a second magnetic data area and a second non-magnetic data area in a pre-stored second image.
4. The method of claim 1, further comprising:
determining the type of the paper currency based on a paper currency image obtained by obtaining the paper currency, wherein the type comprises the wear grade of the paper currency;
selecting a standard paper money model with the same type as the paper money as a target model from a plurality of pre-stored standard paper money models;
comparing a first magnetic parameter of a first magnetic point in the first magnetic data area with a preset parameter range of a magnetic point in the target model, wherein the magnetic point has the same relative position with the first magnetic point;
when the detection result is a result indicating that the magnetic area of the paper currency is normal, the first magnetic parameter is within the preset parameter range, and the number of the first magnetic points corresponding to the first magnetic parameter within the preset parameter range is greater than or equal to a specified number, determining that the detection result is a result indicating that the paper currency is normal;
or when the detection result is a result indicating that the magnetic area of the paper money is normal, the first magnetic parameter is within the preset parameter range, and the area formed by the first magnetic point corresponding to the first magnetic parameter within the preset parameter range is greater than or equal to a specified area threshold value, determining that the detection result is a result indicating that the paper money is normal.
5. The method according to claim 4, wherein selecting a standard banknote model of the same type as the banknote as a target model from a plurality of pre-stored standard banknote models comprises:
when the target model corresponding to the paper currency is not selected, acquiring a second image of the standard paper currency with the same type as the paper currency, wherein the second image comprises a second magnetic data area and a second non-magnetic data area which are obtained after the magnetic area and the non-magnetic area of the standard paper currency are subjected to denoising treatment;
determining the second image as the target model of the banknote.
6. The method of claim 1, wherein prior to acquiring the first image of the note during its passage over the dancer roller in the validator, the method further comprises:
acquiring an image set of at least one type of standard banknotes, wherein the image set comprises a plurality of standard images with the same type and different banknote numbers of the standard banknotes, the type of the standard banknotes comprises at least one of currency, denomination and wear grade of the standard banknotes, and the standard images comprise a second magnetic data area and a second non-magnetic data area which are acquired after denoising processing of a magnetic area and a non-magnetic area of the standard banknotes;
and fusing the plurality of standard images to obtain an image corresponding to the type as the second image.
7. A banknote testing device, characterized in that it comprises:
the image acquisition unit is used for acquiring a first image obtained by paper money in the process of passing through a floating roller in money detection equipment, wherein the first image comprises a first magnetic data area and a first non-magnetic data area which are obtained by sensing a magnetic area and a non-magnetic area of the paper money;
and the detection unit is used for respectively identifying and comparing the first magnetic data area and the first non-magnetic data area with a second magnetic data area and a second non-magnetic data area in a pre-stored second image to obtain a detection result of the paper money, wherein the second image is a magnetic image obtained by sensing standard paper money corresponding to the paper money.
8. The apparatus of claim 7, wherein the detection unit is further configured to:
adjusting the orientation and position of at least one of the first image and the second image so that the first image and the second image are coincident when the orientation is the same;
determining a first area fraction of a region of coincidence of the first magnetic data region and the second magnetic data region, and a second area fraction of a region of coincidence of the first non-magnetic data region and the second non-magnetic data region;
when the first area ratio is within a first preset threshold range and the second area ratio is within a second preset threshold range, determining that the detection result is a result indicating that the magnetic area of the paper money is normal;
and when the first area ratio is not within the first preset threshold range or the second area ratio is not within the second preset threshold range, determining that the detection result is a result representing that the magnetic area of the paper currency is abnormal.
9. Banknote validating apparatus, characterized in that it comprises a memory, a processor coupled to each other, said memory storing a computer program which, when executed by said processor, causes said banknote validating apparatus to carry out the method according to any one of claims 1 to 6.
10. A computer-readable storage medium, in which a computer program is stored which, when run on a computer, causes the computer to carry out the method according to any one of claims 1-6.
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