CN112509210A - Banknote image processing method and device, banknote checking equipment and readable storage medium - Google Patents
Banknote image processing method and device, banknote checking equipment and readable storage 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
- G07D7/20—Testing patterns thereon
- G07D7/2008—Testing patterns thereon using pre-processing, e.g. de-blurring, averaging, normalisation or rotation
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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
- G07D7/04—Testing magnetic properties of the materials thereof, e.g. by detection of magnetic imprint
Abstract
The application provides a banknote image processing method, a banknote image processing device, banknote checking equipment and a readable storage medium, and relates to the technical field of computer data processing. The method comprises the following steps: acquiring a first magnetic induction image of the surface of the floating roller, a first position parameter of a magnetic point in the first magnetic induction image corresponding to the floating roller, and a second magnetic induction image of the paper money passing through the floating roller, a second position parameter of the magnetic point in the second magnetic induction image corresponding to the floating roller; and according to the first magnetic induction image, the first position parameter and the second position parameter, carrying out noise reduction treatment on the second magnetic induction image to obtain a noise-reduced second magnetic induction image, so that the problem of inaccurate authenticity identification of the paper money can be solved.
Description
Technical Field
The invention relates to the technical field of computer data processing, in particular to a banknote image processing method and device, banknote checking equipment 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. 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 common to perform the authenticity identification of the banknotes by 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, after the currency detecting equipment is used for a long time, the problem of inaccurate authenticity identification easily occurs when the currency is identified by utilizing the magnetic material area on the currency.
Disclosure of Invention
The application provides a banknote image processing method, a banknote image processing device, a banknote detecting device and a readable storage medium, which can solve the problem that authenticity identification of banknotes 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 image processing method, which is applied to a banknote verification apparatus, where the banknote verification apparatus includes a floating roller for driving a banknote to rotate, and the method includes: acquiring a first magnetic induction image of the surface of the floating roller, a first position parameter of a magnetic point in the first magnetic induction image corresponding to the floating roller, and a second magnetic induction image of the paper money passing through the floating roller, a second position parameter of the paper money corresponding to the floating roller, wherein the magnetic point in the second magnetic induction image; and according to the first magnetic induction image, the first position parameter and the second position parameter, carrying out noise reduction treatment on the second magnetic induction image to obtain a noise-reduced second magnetic induction image.
In the above embodiment, the magnetic induction image/magnetic characteristic parameter of the surface of the floating roller included in the magnetic induction image of the banknote can be reduced or eliminated by performing noise reduction processing on the magnetic induction image obtained by collecting the banknote, so as to obtain the noise-reduced magnetic induction image.
With reference to the first aspect, in some optional embodiments, the method further comprises: determining a contour region of the paper currency in the second magnetic induction image subjected to noise reduction based on an image of the paper currency acquired by an image sensor when the paper currency passes through the floating roller; determining a magnetic induction image in the outline region in the second magnetic induction image subjected to noise reduction as a target magnetic induction image; and identifying and comparing the target magnetic induction image with a third magnetic induction image to obtain a detection result of the paper money, wherein the third magnetic induction image is a magnetic induction image of the standard paper money corresponding to the paper money.
In the above embodiment, the magnetic induction image corresponding to the banknote contour region can be accurately determined from the noise-reduced second magnetic induction image by combining the images of the banknotes. Therefore, the area of the magnetic induction image needing to be identified can be reduced, and the problem that the identification accuracy is influenced by the magnetic induction image outside the banknote outline area can be solved.
With reference to the first aspect, in some optional embodiments, identifying and comparing the target magnetic induction image with a third magnetic induction image to obtain a detection result of the banknote includes: when the first magnetic characteristic parameter in the target magnetic induction image is identified to be within the preset threshold range of the second magnetic characteristic parameter in the third magnetic induction image, determining the detection result as a result indicating that the paper money is normal; and when the first magnetic characteristic parameter is identified not to be within the preset threshold value range, determining the detection result as a result representing the abnormal state of the paper currency.
In the above-described embodiment, the preset threshold range of the magnetic characteristic parameter in the magnetic induction image of the standard banknote can be used as a basis for determining the authenticity of the banknote, and the magnetic characteristic parameter in the target magnetic induction image is identified by using the preset threshold range, which helps to quickly identify the authenticity of the banknote.
With reference to the first aspect, in some optional embodiments, the method further comprises: and outputting prompt information corresponding to the detection result based on the detection result.
In the above embodiment, the issued prompt information facilitates the operator to intuitively know the authenticity of the banknote from the prompt information.
With reference to the first aspect, in some optional embodiments, the first magnetic induction image includes a first magnetic characteristic parameter obtained by acquiring a magnetic point of the dancing roller surface, and the second magnetic induction image includes a second magnetic characteristic parameter obtained by acquiring a magnetic point in the banknote and a magnetic point of the dancing roller surface;
according to the first magnetic induction image, the first position parameter and the second position parameter, the second magnetic induction image is subjected to noise reduction processing to obtain a noise-reduced second magnetic induction image, and the method comprises the following steps:
according to the first position parameter and the second position parameter, performing translational overlapping on the first magnetic induction image and the second magnetic induction image, so that the position parameter of a magnetic point in the first magnetic induction image in the floating roller after translational overlapping is the same as the position parameter of a magnetic point in the second magnetic induction image in the floating roller; in a magnetic area where the first magnetic induction image and the second magnetic induction image are overlapped, subtracting the second magnetic characteristic parameter of a second magnetic point in the second magnetic induction image from the first magnetic characteristic parameter of a first magnetic point in the first magnetic induction image where the second magnetic point is overlapped to obtain a magnetic induction image after the subtraction of the second magnetic induction image.
In the above embodiment, the method may remove the magnetic characteristic parameters of the floating roller included in the magnetic characteristic parameters in the second magnetic induction image, so that when the authenticity of the banknote is identified by using the second magnetic induction image after noise reduction, the influence of the magnetic characteristic parameters of the floating roller on the authenticity identification can be avoided, thereby contributing to improving the accuracy of the authenticity identification of the banknote.
In a second aspect, an embodiment of the present application further provides a banknote image processing apparatus, which is applied to a banknote verification device, where the banknote verification device includes a floating roller for driving a banknote to rotate, and the banknote image processing apparatus includes:
the acquisition unit is used for acquiring a first magnetic induction image of the surface of the floating roller, a first position parameter of the floating roller corresponding to a magnetic point in the first magnetic induction image, and a second position parameter of the floating roller corresponding to a magnetic point in a second magnetic induction image obtained by the floating roller through the paper money;
and the noise reduction unit is used for carrying out noise reduction treatment on the second magnetic induction image according to the first magnetic induction image, the first position parameter and the second position parameter to obtain a noise-reduced second magnetic induction image.
With reference to the second aspect, in some optional embodiments, the banknote image processing apparatus further comprises:
the contour determining unit is used for determining a contour area of the paper currency in the second magnetic induction image after noise reduction based on an image of the paper currency acquired by an image sensor when the paper currency passes through the floating roller;
a magnetic region determining unit, configured to determine a magnetic induction image in the contour region in the second magnetic induction image subjected to noise reduction as a target magnetic induction image;
and the magnetic area identification unit is used for identifying and comparing the target magnetic induction image with a third magnetic induction image to obtain a detection result of the paper money, wherein the third magnetic induction image is a magnetic induction image of the standard paper money corresponding to the paper money.
With reference to the second aspect, in some optional embodiments, the magnetic region identification unit is further configured to:
when the first magnetic characteristic parameter in the target magnetic induction image is identified to be within the preset threshold range of the second magnetic characteristic parameter in the third magnetic induction image, determining the detection result as a result indicating that the paper money is normal;
and when the first magnetic characteristic parameter is identified not to be within the preset threshold value range, determining the detection result as a result representing the abnormal state of the paper currency.
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 that are coupled to each other, where the memory stores a computer program, and when the computer program is executed by the processor, the banknote checking apparatus is enabled to execute 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 structural 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 flowchart of a banknote image processing 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 diagram of a top view of a magnetically induced image obtained by sensing the banknote shown in FIG. 4.
FIG. 6 is a side view of a magnetically induced image obtained by sensing a banknote as shown in FIG. 4.
FIG. 7 is a side view of a magnetically induced image of a banknote with a magnetic sensor in a single channel as provided in the practice of the present application.
Fig. 8 is a side view of a magnetic induction image of a floating roller provided by an embodiment of the present application in a single channel of a magnetic sensor.
Fig. 9 is a schematic flowchart of a banknote image processing apparatus according to an embodiment of the present application.
Icon: 10-a banknote validating apparatus; 11-a processor; 12-a memory; 13-a magnetic sensor; 14-an image sensor; 15-a dancer roll; 100-banknote image processing means; 110-an obtaining unit; 120-noise reduction 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," "third," 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 and 2 in combination, the present embodiment provides a banknote verification apparatus 10, where the banknote verification apparatus 10 can identify the authenticity of a banknote having a magnetic material, and can improve the problem of inaccurate authenticity identification of the banknote.
In the present embodiment, the banknote identifying apparatus 10 may include a processor 11, a memory 12, a magnetic sensor 13, an image sensor 14, a floating roller 15, and a banknote image processing device 100, wherein the processor 11, the memory 12, the magnetic sensor 13, the image sensor 14, and the banknote image processing device 100 (see fig. 9) are electrically connected directly or indirectly to realize data transmission interaction. For example, the components may be electrically connected to each other via at least one communication bus or signal line.
The processor 11 may be an integrated circuit chip having signal processing capabilities. For example, the Processor 11 may be a Central Processing Unit (CPU), a Network Processor (NP), 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 12 may be, but is not limited to, a random access memory, a read only memory, an erasable programmable read only memory, an electrically erasable programmable read only memory, and the like. In this embodiment, the memory 12 may be used to store a magnetically induced image of a banknote, a banknote image, magnetic signature parameters, and the like. Of course, the memory 12 may also be used for storing a program, which the processor 11 runs upon receiving execution instructions.
The magnetic sensor 13 is used to sense a magnetic material region in the banknote to obtain a magnetically induced image (or called magnetic image) of the banknote. The magnetically induced image may include a magnetic intensity induced from a plurality of 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 banknote validator 10 may fuse the magnetic intensity data collected by all the channels in the magnetic sensor 13 to form a magnetic induction image of the banknote. The magnetic induction image obtained by the magnetic sensor 13 generally includes a magnetic induction image in the outline region of the banknote and a magnetic induction image outside the outline region of the banknote.
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, 19, 20, etc., and the number of channels of the magnetic sensor 13 is not particularly limited herein.
The Image Sensor 14 may be used to scan/capture a surface Image of a banknote, for example, the Image Sensor 14 may be, but is not limited to, a Contact Image Sensor (CIS) or a CCD (Charge Coupled Device) array formed Sensor. The acquired surface image can be combined into the magnetic induction image for identifying and determining the banknote contour region in the magnetic induction image so as to reduce the area of the magnetic induction image needing identification processing.
In operation of the banknote validator 10, the floating rollers 15 are operated under electrical power. The floating roller 15 can drive the paper money to move in a manner of being attached to the magnetic sensor 13 and the image sensor 14 in the rotation process, and the magnetic sensor 13 and the image sensor 14 can acquire corresponding images of the paper money from the paper money in the moving process of the paper money. The surface of the floating roller 15 does not have magnetism, and after the currency detecting device 10 runs for a long time, the floating roller 15 is stained with magnetic materials on the paper currency, so that magnetic induction images including magnetic characteristic parameters acquired by the magnetic sensor 13 on the paper currency contain noise data. The noise data is the magnetic characteristic parameter of the magnetic material adhered to the surface of the dancer roll 15. The following embodiments provided by the present application can perform noise reduction processing on the collected magnetic induction image of the banknote, so as to solve the problem that the accuracy of banknote authenticity identification is affected by noise data when banknote identification is performed by using the magnetic induction image because the magnetic characteristic parameters in the obtained magnetic induction image of the banknote contain the noise data.
In the present embodiment, the banknote image processing apparatus 100 includes at least one software functional module which may be stored in the memory 12 in the form of software or firmware (firmware) or solidified in an Operating System (OS) of the banknote validating apparatus 10. The processor 11 is used for executing executable modules stored in the memory 12, such as software functional modules and computer programs included in the banknote image processing 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 image processing method, which can be applied to the above-mentioned banknote verification apparatus 10, and each step of the method can be executed or implemented by the banknote verification apparatus 10. In this embodiment, the banknote image processing method may include the steps of:
step S210, acquiring a first magnetic induction image of the surface of the floating roller 15, a first position parameter of the floating roller 15 corresponding to a magnetic point in the first magnetic induction image, and a second position parameter of the floating roller 15 corresponding to a magnetic point in a second magnetic induction image obtained by the floating roller 15 through the paper money;
step S220, according to the first magnetic induction image, the first position parameter and the second position parameter, noise reduction processing is carried out on the second magnetic induction image, and a second magnetic induction image after noise reduction is obtained.
Understandably, the magnetic induction image obtained by acquiring the banknote generally includes the magnetic characteristic parameters of the surface of the dancer 15. If the paper money is identified by directly using the magnetic induction image obtained by collecting the paper money, the accuracy of identifying the paper money is influenced by the magnetic characteristic parameters on the surface of the floating roller 15 included in the magnetic induction image. In the above-described embodiment of the present application, the magnetic induction image obtained by collecting the banknote is subjected to noise reduction processing, so that the magnetic characteristic parameter of the surface of the floating roller 15 (the magnetic characteristic parameter may also be the magnetic induction image of the surface of the floating roller 15) included in the magnetic induction image of the banknote can be reduced or eliminated, and the magnetic induction image after noise reduction is obtained, and therefore, the magnetic induction image after noise reduction is helpful for improving the accuracy of true and false identification of the banknote, so that the problem of inaccurate true and false identification of the banknote is solved.
The steps of the banknote image processing method described in fig. 3 will be described in detail below:
step S210, acquiring a first magnetic induction image of the surface of the dancing roller 15, a first position parameter of the dancing roller 15 corresponding to a magnetic point in the first magnetic induction image, and a second magnetic induction image of the banknote passing through the dancing roller 15, a second position parameter of the dancing roller 15 corresponding to a magnetic point in the second magnetic induction image.
In this embodiment, the magnetic induction image includes magnetic characteristic parameters of a magnetic region and magnetic characteristic parameters of a non-magnetic region in the acquisition object. The magnetic characteristic parameter may be a magnetic strength of a magnetic material in the magnetic region, and the magnetic strength may be represented by an amplitude in a magnetic wave image. For example, if the magnetic sensor 13 senses the non-magnetic region to obtain an amplitude of 0 magnetic wave, senses the magnetic region to obtain a maximum amplitude of 2048 magnetic wave, and senses the magnetic region to obtain a minimum amplitude of-2048 magnetic wave, the amplitude of the magnetic wave of the bill is in the range of-2048,2048.
The amplitude of the magnetic wave obtained by inducing the non-magnetic region may be used as a reference value (the reference value may be determined according to an actual situation), and then the reference value and the amplitude of the magnetic wave obtained by inducing the magnetic region are compared to obtain a relative amplitude, and the amplitude range of the magnetic wave is determined based on the relative amplitude. For example, assuming that the reference value may be 2048, and the maximum difference between the magnetic wave amplitude obtained by the magnetic sensor 13 sensing the magnetic region and the reference value is 2048 and-2048, the magnetic wave amplitude may be [0,4096 ].
Understandably, the first magnetic induction image is an image including magnetic characteristic parameters acquired (or induced) by the magnetic sensor 13 on the surface of the dancing roller 15 when the dancing roller 15 is unloaded (i.e., the dancing roller 15 is not carrying a banknote). The first magnetic characteristic parameter in the first magnetic induction image includes the magnetic strength of the surface of the dancer roll 15; the second magnetic characteristic parameters in the second magnetic induction image include the magnetic field intensity of the surface of the dancer 15 and the magnetic intensity of the banknote itself. When the magnetic intensity is converted into a magnetic wave image corresponding to the magnetic intensity, the magnetic wave image in the second magnetic induction image is a superposition of the magnetic wave image on the surface of the dancing roller 15 and the magnetic wave image of the paper money itself.
The magnetic dots in the first magnetic induction image can be understood as dots comprising a magnetic characteristic parameter (such as magnetic strength) which are induced to dots in the magnetic region in the dancer roll 15. The magnetic spot may be associated with position data of the magnetic spot at the dancing roll 15. For example, an encoder may be provided on the dancer 15 to record the position of the magnetic spot during rotation of the dancer 15. During the rotation of the floating roller 15, the magnetic sensor 13 can represent the magnetic strength of the cylindrical surface of the floating roller 15 in the form of a planar image, and record the position of each magnetic dot on the floating roller 15 in the planar image. The position of the magnetic dot can be selected according to actual conditions, for example, the magnetic dot at the zero scale position of the encoder can be selected as a reference position (e.g., the first position) for recording.
Magnetic dots in the second magnetic induction image can be understood as dots comprising magnetic characteristic parameters resulting from sensing dots in a magnetic region in the banknote. Wherein, the point in the magnetic region in the paper currency that is inducted will usually coincide with the point on the floating roller 15, thus make the induction get the magnetic characteristic parameter for the paper currency, the superposition of the point that the floating roller 15 coincides.
Referring to fig. 4-8 in combination, the image shown in fig. 4 can be understood as the surface image of the banknote acquired by the image sensor 14 for the fifth set (2015 edition) of 100-yuan denomination. When the banknote in fig. 4 is a genuine banknote, the block area marked in fig. 4 is the magnetic material area corresponding to the genuine banknote.
The image shown in fig. 5 can be understood as a top view of the magnetic induction image (i.e. the second magnetic induction image in the case of the banknote to be measured) obtained by the 18-channel magnetic sensor 13 collecting the banknote (which may be the banknote to be measured, or the genuine/standard banknote) shown in fig. 4. The magnetically induced image may be a three-dimensional waveform image, and the image shown in fig. 5 is a top view of the magnetically induced image. The magnetic induction image includes an image in a banknote outline region (the outline region of the banknote can be understood as a 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 characteristic parameters (of course, other lines may be also possible, and are not limited in this regard) for each channel of the magnetic sensor 13 in the width direction of the magnetic induction image.
The image shown in fig. 6 can be understood as a formed magnetic wave image of the magnetic characteristic parameters sensed at 18 channels of the magnetic sensor 13. The magnetic wave image can be regarded as a side view of the magnetic induction image shown in fig. 5, and if the image shown in fig. 5 is the magnetic induction image of the bill to be measured, the magnetic wave image includes the magnetic characteristic parameters of the dancer roll 15 and the magnetic characteristic parameters of the bill.
The image shown in fig. 7 can be understood as a side view of the magnetic wave image under one channel in the magnetic sensor 13 in fig. 6.
The image shown in fig. 8 can be understood as a side view (or magnetic wave image) of a magnetic induction image (i.e., first magnetic induction image) obtained by one channel sensing the surface of the floating roller 15 of the magnetic sensor 13, which can be understood as a background noise image of the magnetic wave image in fig. 7.
Step S220, according to the first magnetic induction image, the first position parameter and the second position parameter, noise reduction processing is carried out on the second magnetic induction image, and a second magnetic induction image after noise reduction is obtained.
In this embodiment, the first magnetic induction image includes a first magnetic characteristic parameter obtained by acquiring a magnetic point on the surface of the dancing roller 15, and the second magnetic induction image includes a second magnetic characteristic parameter obtained by acquiring a magnetic point in the banknote and a magnetic point on the surface of the dancing roller 15.
The process of performing noise reduction processing on the second magnetic induction image may be: and performing superposition alignment on the first magnetic induction image and the second magnetic induction image based on the first position parameter of the magnetic point in the first magnetic induction image and the second position parameter of the magnetic point in the second magnetic induction image, so that the position of the magnetic point in the second magnetic induction image on the floating roller 15 after superposition alignment is the same as the position of the magnetic point in the first magnetic induction image on the floating roller 15. After the images are aligned for registration, the magnetic strength of each magnetic point in the second magnetic induction image may be subtracted from the magnetic strength of the magnetic point in the first magnetic induction image that is coincident with the magnetic point in the second magnetic induction image to obtain a new magnetic strength. And the magnetic induction image formed by the new magnetic strength of each magnetic point in the second magnetic induction image is the second magnetic induction image after noise reduction.
For example, step S210 may include: according to the first position parameter and the second position parameter, performing translational overlapping on the first magnetic induction image and the second magnetic induction image, so that the position parameter of the magnetic point in the first magnetic induction image in the floating roller 15 after translational overlapping is the same as the position parameter of the magnetic point in the second magnetic induction image in the floating roller 15; in a magnetic area where the first magnetic induction image and the second magnetic induction image are overlapped, subtracting the second magnetic characteristic parameter of a second magnetic point in the second magnetic induction image from the first magnetic characteristic parameter of a first magnetic point in the first magnetic induction image where the second magnetic point is overlapped to obtain a magnetic induction image after the subtraction of the second magnetic induction image.
In the above embodiment, the second magnetic characteristic parameter in the second magnetic induction image includes the first magnetic characteristic parameter of the surface of the dancing roller 15. And denoising the magnetic characteristic parameters in the second magnetic induction image and the region overlapped with the first magnetic induction image by aligning the images. That is, for the magnetic point where the first magnetic induction image and the second magnetic induction image are overlapped, the magnetic strength of the magnetic point in the first magnetic induction image is subtracted from the magnetic strength of the magnetic point in the second magnetic induction image, subtraction is performed to obtain the magnetic strength as the magnetic strength of the magnetic point in the second image after denoising/denoising, and finally, the magnetic induction image formed by the magnetic point of the magnetic strength in the second magnetic induction image after denoising/denoising is used as the second magnetic induction image after denoising.
Based on the design, the method can remove the magnetic characteristic parameters of the floating roller 15 included in the magnetic characteristic parameters in the second magnetic induction image, so that when the truth of the paper money is identified by using the second magnetic induction image subjected to noise reduction, the influence of the magnetic characteristic parameters of the floating roller 15 on the truth identification can be avoided, and the accuracy of the truth identification of the paper money is improved.
As an optional implementation, the method may further include: determining a contour region of the banknote in the noise-reduced second magnetic induction image based on an image of the banknote acquired by an image sensor 14 when the banknote passes through the floating roller 15; determining a magnetic induction image in the outline region in the second magnetic induction image subjected to noise reduction as a target magnetic induction image; and identifying and comparing the target magnetic induction image with a third magnetic induction image to obtain a detection result of the paper money, wherein the third magnetic induction image is a magnetic induction image of the standard paper money corresponding to the paper money.
The magnetically induced image captured by the magnetic sensor 13 typically includes images within and outside the outline region of the note. Since the edges of the banknote generally do not have magnetic material, it is generally not possible to determine the magnetically induced image within the outline region of the banknote directly from the magnetically induced image acquired by the magnetic sensor 13. At this time, the magnetic induction image of the banknote acquired by the image sensor 14 when the magnetic induction image of the banknote is acquired by the magnetic sensor 13 may be combined, then the position of the surface image in the magnetic induction image may be determined by combining the distance between the image sensor 14 and the magnetic sensor 13, and then the magnetic induction image covered by the surface image in the second magnetic induction image after noise reduction may be determined as the magnetic induction image in the banknote outline area and is used as the target magnetic induction image.
And after the target magnetic induction image is determined, comparing and identifying the target magnetic induction image with the magnetic induction image of the standard paper currency corresponding to the paper currency, so as to determine the authenticity of the paper currency needing to be identified.
The magnetic induction image of the standard banknote corresponding to the banknote can be understood as a magnetic induction image of a pre-stored genuine banknote of the same type as the banknote. The type of the paper money can be determined according to the content of the surface image of the paper money. This type includes the currency, denomination and version of the banknote. For example, if the banknote type is identified as the RMB currency type, the denomination is 100 Yuan, and the version is the fifth RMB version (i.e., the 2015 version of RMB), then the corresponding standard banknote is the fifth RMB genuine banknote with the denomination of 100 Yuan.
Understandably, the standard banknotes corresponding to the banknotes can be determined according to the actual type of the banknotes (including currency, denomination and version). For example, the currency of the banknote may be banknotes of other countries, such as U.S. dollars, euros, etc., and the denomination may have other denominations of magnetic material, such as 20-yuan of the fifth set, 50-yuan of the fifth set, which is not limited herein.
In the above-described embodiment, by using the image of the banknote, it is possible to accurately specify the magnetic induction image corresponding to the banknote contour region from the noise-reduced second magnetic induction image. Therefore, the area of the magnetic induction image needing to be identified can be reduced, and the problem that the identification accuracy is influenced by the magnetic induction image outside the banknote outline area can be solved.
In this embodiment, identifying and comparing the target magnetic induction image and a third magnetic induction image to obtain a detection result of the banknote may include: when the first magnetic characteristic parameter in the target magnetic induction image is identified to be within the preset threshold range of the second magnetic characteristic parameter in the third magnetic induction image, determining the detection result as a result indicating that the paper money is normal; and when the first magnetic characteristic parameter is identified not to be within the preset threshold value range, determining the detection result as a result representing the abnormal state of the paper currency. The specified threshold range may be set according to actual conditions, and may be a numerical value or a range interval.
For example, in the present embodiment, the number of images representing the magnetic regions in the banknote in the target magnetic induction image may be compared with the number of images representing the magnetic regions in the standard banknote in the third magnetic induction image, and if the two numbers are the same (that is, the number in the target magnetic region is a predetermined number, which may be set according to actual circumstances), the banknote may be considered to be normal. The normal banknote may indicate that the banknote is a genuine banknote or that the number of magnetic regions of the banknote is normal. If the number of the magnetic areas is different, the paper money is considered to be abnormal. Banknote anomalies typically indicate that the banknote is a counterfeit banknote.
Of course, the image shape and the image area of the magnetic region representing the bill in the target magnetic induction image are compared with the image shape and the image area of the magnetic region representing the bill in the third magnetic induction image, and if the similarity of the shapes of the images is within a predetermined threshold range (the predetermined threshold may be set according to actual circumstances), the bill is considered to be normal. If the similarity of the shape of the image is smaller than a specified threshold, the banknote is considered to be abnormal (banknote abnormality generally indicates that the banknote is a counterfeit banknote). Or the ratio of the areas of the two is in a preset range (the preset range can be set according to the actual situation), the paper money is considered to be normal; and if the ratio of the areas of the two is not in the preset range, determining that the paper money is abnormal.
Understandably, when all the results of identifying the bills are normal, the bills are indicated as genuine bills. If one or more abnormalities exist in the detection result, the probability that the paper currency is false paper money is high or the paper currency is false paper money.
In the above-described embodiment, the preset threshold range of the magnetic characteristic parameter in the magnetic induction image of the standard banknote can be used as a basis for determining the authenticity of the banknote, and the magnetic characteristic parameter in the target magnetic induction image is identified by using the preset threshold range, which helps to quickly identify the authenticity of the banknote.
As an optional implementation, the method may further include: and outputting prompt information corresponding to the detection result based on the detection result.
For example, if the detection result indicates that the banknote is a counterfeit banknote, a notification message indicating that the banknote is a counterfeit banknote is issued. And if the detection result shows that the paper money is true, sending prompt information showing that the paper money is true. The prompt information indicating that the paper money is true paper money and the prompt information indicating that the paper money is false paper money can be set according to actual conditions in a distinguishing mode. For example, the red light is emitted when the bill is a counterfeit bill, and the green light is emitted when the bill is a genuine bill, and the manner of the emission is not particularly limited.
In the above embodiment, by sending the indication information, the operator can visually know the authenticity of the banknote from the indication information.
Referring to fig. 9, the present embodiment further provides a banknote image processing apparatus 100, which can be used to execute or implement the steps of the banknote image processing method, and the banknote image processing apparatus 100 can be applied to the banknote verification device 10 to implement the steps of the method.
In the present embodiment, the banknote image processing apparatus 100 may include an acquisition unit 110 and a noise reduction unit 120.
The acquiring unit 110 is configured to acquire a first magnetic induction image of the surface of the floating roller 15, where a magnetic point in the first magnetic induction image corresponds to a first position parameter of the floating roller 15, and a second magnetic induction image obtained by the floating roller 15, where a magnetic point in the second magnetic induction image corresponds to a second position parameter of the floating roller 15.
And the denoising unit 120 is configured to perform denoising processing on the second magnetic induction image according to the first magnetic induction image, the first position parameter, and the second position parameter, so as to obtain a denoised second magnetic induction image.
The first magnetic induction image comprises a first magnetic characteristic parameter obtained by acquiring the magnetic points on the surface of the floating roller 15, and the second magnetic induction image comprises a second magnetic characteristic parameter obtained by acquiring the magnetic points in the paper money and the magnetic points on the surface of the floating roller 15.
The noise reduction unit 120 may also be configured to: according to the first position parameter and the second position parameter, performing translational overlapping on the first magnetic induction image and the second magnetic induction image, so that the position parameter of the magnetic point in the first magnetic induction image in the floating roller 15 after translational overlapping is the same as the position parameter of the magnetic point in the second magnetic induction image in the floating roller 15; in a magnetic area where the first magnetic induction image and the second magnetic induction image are overlapped, subtracting the second magnetic characteristic parameter of a second magnetic point in the second magnetic induction image from the first magnetic characteristic parameter of a first magnetic point in the first magnetic induction image where the second magnetic point is overlapped to obtain a magnetic induction image after the subtraction of the second magnetic induction image.
Alternatively, the banknote image processing apparatus 100 may further include a contour determination unit, a magnetic region determination unit, and a magnetic region identification unit.
Wherein the outline determining unit is used for determining the outline area of the paper currency in the second magnetic induction image after noise reduction based on the image of the paper currency acquired by the image sensor 14 when the paper currency passes through the floating roller 15.
And the magnetic area determining unit is used for determining the magnetic induction image in the outline area in the second magnetic induction image after noise reduction as a target magnetic induction image.
And the magnetic area identification unit is used for identifying and comparing the target magnetic induction image with a third magnetic induction image to obtain a detection result of the paper money, wherein the third magnetic induction image is a magnetic induction image of the standard paper money corresponding to the paper money.
Optionally, the magnetic zone identification unit may be further configured to: when the first magnetic characteristic parameter in the target magnetic induction image is identified to be within the preset threshold range of the second magnetic characteristic parameter in the third magnetic induction image, determining the detection result as a result indicating that the paper money is normal; and when the first magnetic characteristic parameter is identified not to be within the preset threshold value range, determining the detection result as a result representing the abnormal state of the paper currency.
Alternatively, the banknote image processing apparatus 100 may further include a presentation unit. And the prompting unit is used for outputting prompting information corresponding to the detection result based on the detection result.
It should be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above described banknote verification device 10 and the banknote image processing 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 banknote image processing 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 image processing method, a banknote image processing device, a banknote detecting apparatus, and a readable storage medium. The method comprises the following steps: acquiring a first magnetic induction image of the surface of the floating roller, a first position parameter of a magnetic point in the first magnetic induction image corresponding to the floating roller, and a second magnetic induction image of the paper money passing through the floating roller, a second position parameter of the magnetic point in the second magnetic induction image corresponding to the floating roller; and performing noise reduction processing on the second magnetic induction image according to the first magnetic induction image, the first position parameter and the second position parameter to obtain a noise-reduced second magnetic induction image. In the scheme, the magnetic induction image obtained by collecting the paper money is subjected to noise reduction processing to obtain the magnetic induction image subjected to noise reduction, and the magnetic induction image subjected to noise reduction is beneficial to improving the accuracy of true and false identification of the paper money, so that the problem that the true and false identification of the paper money is inaccurate is solved.
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. The method for processing the paper money image is applied to a paper money detecting device, the paper money detecting device comprises a floating roller for driving paper money to rotate, and the method comprises the following steps:
acquiring a first magnetic induction image of the surface of the floating roller, a first position parameter of a magnetic point in the first magnetic induction image corresponding to the floating roller, and a second magnetic induction image of the paper money passing through the floating roller, a second position parameter of the paper money corresponding to the floating roller, wherein the magnetic point in the second magnetic induction image;
and according to the first magnetic induction image, the first position parameter and the second position parameter, carrying out noise reduction treatment on the second magnetic induction image to obtain a noise-reduced second magnetic induction image.
2. The method of claim 1, further comprising:
determining a contour region of the paper currency in the second magnetic induction image subjected to noise reduction based on an image of the paper currency acquired by an image sensor when the paper currency passes through the floating roller;
determining a magnetic induction image in the outline region in the second magnetic induction image subjected to noise reduction as a target magnetic induction image;
and identifying and comparing the target magnetic induction image with a third magnetic induction image to obtain a detection result of the paper money, wherein the third magnetic induction image is a magnetic induction image of the standard paper money corresponding to the paper money.
3. The method according to claim 2, wherein identifying and comparing the target magnetic induction image with a third magnetic induction image to obtain a detection result of the banknote comprises:
when the first magnetic characteristic parameter in the target magnetic induction image is identified to be within the preset threshold range of the second magnetic characteristic parameter in the third magnetic induction image, determining the detection result as a result indicating that the paper money is normal;
and when the first magnetic characteristic parameter is identified not to be within the preset threshold value range, determining the detection result as a result representing the abnormal state of the paper currency.
4. The method of claim 2, further comprising:
and outputting prompt information corresponding to the detection result based on the detection result.
5. The method according to claim 1, characterized in that the first magnetic induction image comprises a first magnetic characteristic parameter obtained by acquiring magnetic points of the dancing roller surface, and the second magnetic induction image comprises a second magnetic characteristic parameter obtained by acquiring magnetic points in the banknote and magnetic points of the dancing roller surface;
according to the first magnetic induction image, the first position parameter and the second position parameter, the second magnetic induction image is subjected to noise reduction processing to obtain a noise-reduced second magnetic induction image, and the method comprises the following steps:
according to the first position parameter and the second position parameter, performing translational overlapping on the first magnetic induction image and the second magnetic induction image, so that the position parameter of a magnetic point in the first magnetic induction image in the floating roller after translational overlapping is the same as the position parameter of a magnetic point in the second magnetic induction image in the floating roller;
in a magnetic area where the first magnetic induction image and the second magnetic induction image are overlapped, subtracting the second magnetic characteristic parameter of a second magnetic point in the second magnetic induction image from the first magnetic characteristic parameter of a first magnetic point in the first magnetic induction image where the second magnetic point is overlapped to obtain a magnetic induction image after the subtraction of the second magnetic induction image.
6. The utility model provides a paper currency image processing apparatus which characterized in that is applied to currency examine equipment, currency examine equipment is including being used for driving the rotatory floating roll of paper currency, paper currency image processing apparatus includes:
the acquisition unit is used for acquiring a first magnetic induction image of the surface of the floating roller, a first position parameter of the floating roller corresponding to a magnetic point in the first magnetic induction image, and a second position parameter of the floating roller corresponding to a magnetic point in a second magnetic induction image obtained by the floating roller through the paper money;
and the noise reduction unit is used for carrying out noise reduction treatment on the second magnetic induction image according to the first magnetic induction image, the first position parameter and the second position parameter to obtain a noise-reduced second magnetic induction image.
7. The banknote image processing apparatus according to claim 6, further comprising:
the contour determining unit is used for determining a contour area of the paper currency in the second magnetic induction image after noise reduction based on an image of the paper currency acquired by an image sensor when the paper currency passes through the floating roller;
a magnetic region determining unit, configured to determine a magnetic induction image in the contour region in the second magnetic induction image subjected to noise reduction as a target magnetic induction image;
and the magnetic area identification unit is used for identifying and comparing the target magnetic induction image with a third magnetic induction image to obtain a detection result of the paper money, wherein the third magnetic induction image is a magnetic induction image of the standard paper money corresponding to the paper money.
8. The banknote image processing apparatus according to claim 7, wherein the magnetic area identifying unit is further configured to:
when the first magnetic characteristic parameter in the target magnetic induction image is identified to be within the preset threshold range of the second magnetic characteristic parameter in the third magnetic induction image, determining the detection result as a result indicating that the paper money is normal;
and when the first magnetic characteristic parameter is identified not to be within the preset threshold value range, determining the detection result as a result representing the abnormal state of the paper currency.
9. Banknote validating apparatus, characterized in that it comprises a memory and a processor coupled to each other, said memory having stored therein 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 5.
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 1-5.
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Application publication date: 20210316 |