CN108665604B - Method and device for detecting new and old grades of paper money - Google Patents
Method and device for detecting new and old grades of paper money Download PDFInfo
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- CN108665604B CN108665604B CN201710201037.4A CN201710201037A CN108665604B CN 108665604 B CN108665604 B CN 108665604B CN 201710201037 A CN201710201037 A CN 201710201037A CN 108665604 B CN108665604 B CN 108665604B
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- 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
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Abstract
The embodiment of the invention discloses a method and a device for detecting new and old grades of paper money. The method comprises the following steps: acquiring thickness data of a preset characteristic region of the paper money to be detected; and determining the new grade and the old grade of the paper money to be detected according to the thickness data of the preset characteristic area. The technical scheme provided by the embodiment of the invention effectively solves the problems that when the new and old grades of the paper money are detected based on the image processing technology, a standard comparison area in the paper money to be detected is stained and the new and old grades of the paper money cannot be detected, and the technical scheme based on the image processing technology detects the new and old grades of the paper money, so that the obtained data volume is large and the processing speed is slow, the detection of the new and old grades of the paper money by only using the thickness data of the paper money is realized, and the data processing amount and the operation time can be effectively reduced.
Description
Technical Field
The embodiment of the invention relates to a paper money processing technology, in particular to a method and a device for detecting new and old grades of paper money.
Background
At present, the speed of paper currency circulation is faster and faster, and the requirements of different fields on the new and old degree of the circulated paper currency are different, for example, the requirements of ordinary people on the new and old grade of paper currency for buying things are very low, and the requirements of an ATM on the new and old grade of paper currency are very high. Therefore, it is necessary to detect the old and new grades of the banknotes.
Most of the prior art adopts the technology based on image processing to detect the new and old grades of the paper money. Generally, image sensors are used for obtaining image information of sample paper money of different old and new grades, image information of a certain fixed position is selected as a standard comparison area, a pixel value of the standard comparison area is obtained and used as a standard value, then image information of paper money to be detected is obtained, the same area corresponding to the standard comparison area is selected, the pixel value is collected, and finally the pixel value of the paper money to be detected is compared with the standard value of the sample paper money to obtain the old and new grade information of the paper money to be detected.
In the technical scheme, if the standard contrast area in the paper money to be detected is stained, the new grade and the old grade of the paper money cannot be detected, the new grade and the old grade of the paper money are detected based on the technical scheme of image processing, the acquired data volume is large, and the processing speed is slow.
Disclosure of Invention
The embodiment of the invention provides a method and a device for detecting new and old grades of paper money, which are used for detecting the new and old grades of the paper money by only using thickness data of the paper money and can reduce data processing amount and calculation time.
In a first aspect, an embodiment of the present invention provides a method for detecting a new grade and an old grade of a banknote, where the method includes:
acquiring thickness data of a preset characteristic region of the paper money to be detected;
and determining the new grade and the old grade of the paper money to be detected according to the thickness data of the preset characteristic area.
In a second aspect, an embodiment of the present invention further provides an apparatus for detecting a new or old grade of a banknote, where the apparatus includes:
the thickness data acquisition module is used for acquiring the thickness data of a preset characteristic area of the paper money to be detected;
and the old and new grade determining module is used for determining the old and new grades of the paper money to be detected according to the thickness data of the preset characteristic region.
The method comprises the steps of obtaining thickness data of a preset characteristic region of the paper money to be detected; the new grade and the old grade of the paper money to be detected are determined according to the thickness data of the preset characteristic area, the problems that when the new grade and the old grade of the paper money are detected based on an image processing technology, a standard comparison area in the paper money to be detected is stained and the new grade and the old grade of the paper money cannot be detected are effectively solved, the problems that when the new grade and the old grade of the paper money are detected based on the technical scheme of image processing, the obtained data volume is large and the processing speed is low are solved, the new grade and the old grade of the paper money are detected only by using the thickness data of the paper money, and the data processing amount and the operation time.
Drawings
FIG. 1 is a flowchart of a method for detecting the old and new grades of paper money according to an embodiment of the present invention;
FIG. 2a is a flowchart of a method for detecting the old and new grades of paper money according to a second embodiment of the present invention;
fig. 2b is a schematic diagram of a thickness sensor acquiring original thickness data of a banknote to be detected in a banknote transport process according to the second embodiment of the present invention;
fig. 2c is a schematic diagram of raw thickness data of the banknote to be detected, which is acquired by the thickness sensor according to the second embodiment of the present invention;
fig. 3 is a flowchart of a method for detecting the old and new grades of paper money according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a banknote new and old grade detection device according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a method for detecting a new or old grade of a banknote according to an embodiment of the present invention, where the embodiment is applicable to detecting a new or old grade of a banknote, and the method can be executed by a device for detecting a new or old grade of a banknote, where the device can be implemented by software and/or hardware, and the device can be integrated into any device with a banknote identification function, such as a typical banknote validator, a typical banknote counter, and the like. The method specifically comprises the following steps:
s110, thickness data of a preset characteristic area of the paper money to be detected are obtained.
In this embodiment, the preset feature region refers to a region having obvious features in the banknote, such as a collar region, a national emblem region, a security thread region, and other feature regions. The number of the preset feature areas is not limited, the thickness data of one preset feature area in the paper money to be detected can be acquired, and the thickness data of a plurality of preset feature areas in the paper money to be detected can also be acquired. In addition, the specific feature position of the preset feature region is not specifically limited, and the specific feature position can be a collar region in the paper money to be detected, a national emblem region in the paper money to be detected, a safety line region in the paper money to be detected, or a plurality of regions in the collar region, the national emblem region, the safety line region and other feature regions. The preset characteristic region is preferably selected as the characteristic region of the paper money with the new grade and the old grade sensitive to the thickness data.
Specifically, the thickness data of the preset characteristic area of the paper money to be detected is obtained through a thickness sensor. Typically, the thickness sensor is provided with a row of sensor units arranged laterally side by side, one sensor unit for each channel. The thickness sensor can set different numbers of sensor units according to the size of the paper money to be detected. Illustratively, the bill validator, bill counter or sorter is generally set to be either a 10-pass thickness sensor or a 12-pass thickness sensor depending on the size of the bill to be detected. Optionally, the thickness data of the paper money to be detected corresponding to the channel is acquired according to the channel position of the thickness sensor where the preset feature region is located, and then the thickness data of the preset feature region of the paper money to be detected is extracted according to the real position of the preset feature region in the paper money. Optionally, all thickness data of the whole paper money to be detected are directly acquired through the thickness sensor, and then the thickness data of the preset feature region of the whole paper money to be detected are directly extracted from all thickness data of the whole paper money to be detected according to the real position of the preset feature region in the paper money.
And S120, determining the new grade and the old grade of the paper money to be detected according to the thickness data of the preset characteristic region.
In this embodiment, the new grade and the old grade of the paper money to be detected can be judged according to the mean value of the thickness data of the preset characteristic region. And determining a standard for dividing the new and old grades of the paper currency according to the thickness average value of the preset feature region in the known new and old grades of the paper currency according to the distribution rule of the thickness data average value of the preset feature region. And comparing the thickness data mean value of the preset characteristic region of the paper money to be detected with the new and old grade division standard of the paper money to determine the new and old grade of the paper money to be detected.
Optionally, the preset feature area includes a first preset feature area and a second preset feature area, the thickness data of the first preset feature area and the thickness data of the second preset feature area of the paper money to be detected are respectively obtained, the sum of the thickness data of the first preset feature area and the sum of the thickness data of the second preset feature area are calculated, a first feature value corresponding to the sum of the thickness data of the first preset feature area and a second feature value corresponding to the sum of the thickness data of the second preset feature area are obtained according to a preset formula, and the maximum value of the first feature value and the second feature value is used as the new grade or the old grade of the paper money to be detected.
The method comprises the steps of obtaining thickness data of a preset characteristic region of the paper money to be detected; the new grade and the old grade of the paper money to be detected are determined according to the thickness data of the preset characteristic area, the problems that when the new grade and the old grade of the paper money are detected based on an image processing technology, a standard comparison area in the paper money to be detected is stained and the new grade and the old grade of the paper money cannot be detected are effectively solved, the problems that when the new grade and the old grade of the paper money are detected based on the technical scheme of image processing, the obtained data volume is large and the processing speed is low are solved, the new grade and the old grade of the paper money are detected only by using the thickness data of the paper money, and the data processing amount and the operation time.
Example two
Fig. 2a is a flowchart of a method for detecting new and old grades of paper currency according to a second embodiment of the present invention, and in this embodiment, on the basis of the foregoing embodiment, the thickness data of the preset feature area of the paper currency to be detected is optimized as follows: acquiring thickness data of the paper money to be detected; positioning a first preset characteristic area and a second preset characteristic area of the paper money to be detected; and respectively extracting the thickness data of the first preset characteristic region and the thickness data of the second preset characteristic region of the paper money to be detected.
As shown in fig. 2a, the method of the present embodiment includes the following steps:
s210, thickness data of the paper money to be detected are obtained.
Referring to fig. 2b, a row of sensor units 202 arranged side by side in the thickness sensor 201 is provided, and one sensor unit 202 corresponds to one channel 203, so the thickness sensor 201 shown in fig. 2b and including 10 sensor units 202 can be referred to as a 10-channel thickness sensor, and all channels are numbered as 1, 2, …, 9 and 10 in sequence according to the numbering direction 204. The banknote 205 to be detected passes through the thickness sensors 201 along the banknote entering direction 206 in the figure, each sensor unit 202 collects a relatively independent one-dimensional raw thickness data, and then 10 raw thickness signals can be collected by the 10-channel thickness sensor. The bill 205 to be detected may be a normal bill, or an abnormal bill adhered with an adhesive tape, having a folded corner, or having a defect. Fig. 2c is a schematic diagram of 10 original thickness data of normal paper money collected by the thickness sensor 201, and it can be seen that each numbered sensor unit corresponds to a line, the line is the original thickness data detected by the sensor unit, and a connecting line perpendicular to a position coordinate line of the paper money between two adjacent lines is not the thickness data, but is only a connecting line for data display, and has no practical significance.
From fig. 2c, it can be seen that the raw thickness data includes thickness data 207 of the banknote collected by the thickness sensor when the banknote to be detected passes in the middle and thickness data 208 of the background collected by the thickness sensor when no banknote passes on both sides. Therefore, the original thickness data acquired by all the channels of the thickness sensor are denoised, and the thickness data 207 of the paper money to be detected in the original thickness data are extracted, namely the thickness data of the paper money to be detected are acquired.
S220, positioning a first preset characteristic area and a second preset characteristic area of the paper money to be detected.
In this embodiment, the preset feature region includes a first preset feature region and a second preset feature region. And positioning the first preset characteristic region and the second preset characteristic region of the paper money to be detected by counting and summarizing the real positions of the first preset characteristic region and the second preset characteristic region in a large number of normal paper money. Illustratively, through statistics of the real positions of a first preset feature region and a second preset feature region in a large number of normal banknotes, if the first preset feature region is located in a region a of the banknotes and the second preset feature region is located in a region B of the banknotes, the first preset feature region is located at a position a and the second preset feature region is located at a position B in the banknotes to be detected.
Optionally, because the collar region and the national emblem region in the paper money of different new and old grades are sensitive to thickness data, the first preset feature region is set as the collar region, and the second preset feature region is set as the national emblem region; or the first preset characteristic region is a national emblem region, and the second preset characteristic region is a collar region.
And S230, respectively extracting the thickness data of the first preset characteristic region and the thickness data of the second preset characteristic region of the paper money to be detected.
Specifically, after the first preset feature region and the second preset feature region of the banknote to be detected are located in step S220, the thickness data of the part between the first preset feature region and the thickness data of the part between the second preset feature region can be directly extracted from all the thickness data of the banknote to be detected.
S240, determining the new grade and the old grade of the paper money to be detected according to the thickness data of the preset characteristic region.
According to the technical scheme provided by the embodiment, the thickness data of the paper money to be detected is acquired; positioning a first preset characteristic area and a second preset characteristic area of the paper money to be detected; respectively extracting thickness data of a first preset characteristic region and thickness data of a second preset characteristic region of the paper money to be detected, wherein the first preset characteristic region is a collar region, and the second preset characteristic region is a national emblem region; or the first preset feature area is a national emblem area, the second preset feature area is a collar area, the new grade and the old grade of the paper money to be detected are determined according to the thickness data of the preset feature areas, and the feature areas sensitive to the thickness data in different new grades and old grades are selected as the preset feature areas, so that the accuracy of the detected new grade and old grade of the paper money is higher.
EXAMPLE III
Fig. 3 is a flowchart of a method for detecting new and old grades of paper money according to a third embodiment of the present invention, which adds the following steps based on the above embodiments: respectively calculating the sum of the thickness data of the first preset feature region and the sum of the thickness data of the second preset feature region, and optimizing the new grade and the old grade of the paper money to be detected according to the thickness data of the preset feature regions as follows: and determining the new grade and the old grade of the paper money to be detected according to the sum of the thickness data of the first preset characteristic area and the sum of the thickness data of the second preset characteristic area.
As shown in fig. 3, the method of the present embodiment includes the following steps:
and S310, acquiring thickness data of the paper money to be detected.
S320, positioning a first preset characteristic area and a second preset characteristic area of the paper money to be detected.
S330, respectively extracting the thickness data of the first preset characteristic region and the thickness data of the second preset characteristic region of the paper money to be detected.
And S340, respectively calculating the sum of the thickness data of the first preset characteristic region and the sum of the thickness data of the second preset characteristic region.
The first preset characteristic region and the second preset characteristic region are both composed of a plurality of continuous characteristic points, each characteristic point corresponds to one thickness data value, and the thickness data values corresponding to the continuous points in the first preset characteristic region are summed to obtain the sum of the thickness data of the first preset characteristic region. Similarly, the thickness data values corresponding to a plurality of continuous points in the second preset characteristic region are summed to obtain the sum of the thickness data of the second preset characteristic region.
S350, determining the new grade and the old grade of the paper money to be detected according to the sum of the thickness data of the first preset characteristic area and the sum of the thickness data of the second preset characteristic area.
Preferably, according to the formula y1＝k1s1+b1Calculating a first characteristic value corresponding to the sum of the thickness data of the first preset characteristic region; according toFormula y2＝k2s2+b2Calculating a second characteristic value corresponding to the sum of the thicknesses of the second preset characteristic region; wherein k is1、b1、k2And b2All represent a characteristic parameter, s1Sum of thickness data, s, representing a first predetermined characteristic region2Sum of thickness data, y, representing second predetermined characteristic region1Representing a first characteristic value, y2Representing the second characteristic value.
Wherein the characteristic parameter k1、b1、k2And b2Can be obtained in advance according to the paper money with known new and old grades. Specifically, the new and old paper money with the new and old grade of nine new and new paper money is selected, and the paper money is selected as five new paper money. The banknote with the old and new grades of nine is set to have a characteristic value of 90, and the banknote with the old and new grades of five is set to have a characteristic value of 50. The sum of the thickness data of the first preset characteristic area and the sum of the thickness data of the second preset characteristic area of the paper money with new and old grades of nine new grades are respectively s1'、s'2The sum of the thickness data of the first preset characteristic area and the sum of the thickness data of the second preset characteristic area of the new and old grades of the five new paper money are s'3、s'4Then, the following equation set is given:
the characteristic parameter k can be obtained according to the equation set1、b1、k2And b2. It should be noted that the above description is only given for one of the calculated characteristic parameters k1、b1、k2And b2According to the embodiment, the characteristic parameter k may be calculated according to other methods1、b1、k2And b2The present embodiment is directed to calculating the characteristic parameter k1、b1、k2And b2The specific method of (3) is not limited.
And comparing a first characteristic value corresponding to a first preset characteristic region of the paper money to be detected with a second characteristic value corresponding to a second preset characteristic region, and taking the maximum value of the first characteristic value and the second characteristic value as the new grade and the old grade of the paper money to be detected. Illustratively, the calculated first characteristic value corresponding to the first preset characteristic region of the banknote to be detected is 85, and the first characteristic value 78 corresponding to the first preset characteristic region judges the new grade and the old grade of the banknote to be detected according to a preset new grade and old grade division standard of the banknote. If the preset new and old grade classification standard of the paper money is as follows: the first grade is the eigenvalue between 0-10, the second grade is the eigenvalue between 10-20, …, the eighth grade is the eigenvalue between 70-80, the ninth grade is the eigenvalue between 80-90, and the tenth grade is the eigenvalue between 90-100. Therefore, the new and old grades of the banknotes to be detected are the ninth grade. Note that the preset new and old banknote classification standards can be adaptively adjusted according to actual needs.
According to the technical scheme provided by the embodiment, the sum of the thickness data of the first preset characteristic region and the sum of the thickness data of the second preset characteristic region are calculated, and the new grade and the old grade of the paper money to be detected are determined according to the sum of the thickness data of the first preset characteristic region and the sum of the thickness data of the second preset characteristic region, so that the detection of the new grade and the old grade of the paper money only by using the thickness data of the paper money is realized, the data processing amount and the operation time can be effectively reduced, and the detection precision of the new grade and the old grade of the paper money is further improved.
Example four
Fig. 4 is a schematic structural diagram of a device for detecting the old and new grades of paper money according to an embodiment of the present invention, including: the thickness data acquisition module 410 is used for acquiring the thickness data of a preset characteristic area of the paper money to be detected; and a new and old grade determining module 420, configured to determine a new and old grade of the banknote to be detected according to the thickness data of the preset feature region.
Optionally, the preset feature region includes a first preset feature region and a second preset feature region;
the thickness data acquisition module 410, comprising;
the thickness data acquisition unit is used for acquiring the thickness data of the paper money to be detected;
the preset feature area positioning unit is used for positioning a first preset feature area and a second preset feature area of the paper money to be detected;
and the thickness data extraction unit is used for respectively extracting the thickness data of the first preset characteristic region and the thickness data of the second preset characteristic region of the paper money to be detected.
Optionally, the first preset feature region is a collar region, and the second preset feature region is a national emblem region; or
The first preset characteristic region is a national emblem region, and the second preset characteristic region is a collar region.
Further, the method also comprises the following steps:
the thickness data sum calculating unit is used for respectively calculating the sum of the thickness data of the first preset feature region and the sum of the thickness data of the second preset feature region after respectively extracting the thickness data of the first preset feature region and the thickness data of the second preset feature region of the paper money to be detected;
the old-new level determination module 420 includes:
and the old and new grade detection unit is used for determining the old and new grades of the paper money to be detected according to the sum of the thickness data of the first preset characteristic area and the sum of the thickness data of the second preset characteristic area.
Optionally, the old-new level detection unit is configured to:
according to the formula y1＝k1s1+b1Calculating a first characteristic value corresponding to the sum of the thickness data of the first preset characteristic region;
according to the formula y2＝k2s2+b2Calculating a second characteristic value corresponding to the sum of the thicknesses of the second preset characteristic region;
wherein k is1、b1、k2And b2All represent a characteristic parameter, s1Sum of thickness data, s, representing a first predetermined characteristic region2Represents the secondSum of thickness data of predetermined characteristic regions, y1Representing a first characteristic value, y2Representing a second characteristic value;
and taking the maximum value of the first characteristic value and the second characteristic value as the new grade and the old grade of the paper money to be detected.
According to the device for detecting the new grade and the old grade of the paper money, provided by the embodiment of the invention, the thickness data of the preset characteristic region of the paper money to be detected is obtained; the new grade and the old grade of the paper money to be detected are determined according to the thickness data of the preset characteristic area, the problems that when the new grade and the old grade of the paper money are detected based on an image processing technology, a standard comparison area in the paper money to be detected is stained and the new grade and the old grade of the paper money cannot be detected are effectively solved, the problems that when the new grade and the old grade of the paper money are detected based on the technical scheme of image processing, the obtained data volume is large and the processing speed is low are solved, the new grade and the old grade of the paper money are detected only by using the thickness data of the paper money, and the data processing amount and the operation time.
The device for detecting the new and old grades of paper money provided by the embodiment of the invention can execute the method for detecting the new and old grades of paper money provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (6)
1. A method for detecting the new and old grades of paper money is characterized by comprising the following steps:
acquiring thickness data of paper money to be detected;
positioning a first preset characteristic area and a second preset characteristic area of the paper money to be detected;
respectively extracting the thickness data of a first preset characteristic region and the thickness data of a second preset characteristic region of the paper money to be detected;
respectively calculating the sum of the thickness data of the first preset characteristic region and the sum of the thickness data of the second preset characteristic region;
and determining the new grade and the old grade of the paper money to be detected according to the sum of the thickness data of the first preset characteristic area and the sum of the thickness data of the second preset characteristic area.
2. The method according to claim 1, wherein the first preset feature area is a collar area, and the second preset feature area is a national emblem area; or
The first preset characteristic region is a national emblem region, and the second preset characteristic region is a collar region.
3. The method according to claim 1, wherein determining the old and new grades of the banknote to be detected according to the sum of the thickness data of the first preset feature area and the sum of the thickness data of the second preset feature area comprises:
according to the formula y1＝k1s1+b1Calculating a first characteristic value corresponding to the sum of the thickness data of the first preset characteristic region;
according to the formula y2＝k2s2+b2Calculating a second characteristic value corresponding to the sum of the thicknesses of the second preset characteristic region;
wherein k is1、b1、k2And b2All represent a characteristic parameter, s1Sum of thickness data, s, representing a first predetermined characteristic region2Sum of thickness data, y, representing second predetermined characteristic region1Representing a first characteristic value, y2Representing a second characteristic value;
and taking the maximum value of the first characteristic value and the second characteristic value as the new grade and the old grade of the paper money to be detected.
4. A device for detecting the old and new grades of paper money is characterized by comprising:
the thickness data acquisition unit is used for acquiring the thickness data of the paper money to be detected;
the preset feature area positioning unit is used for positioning a first preset feature area and a second preset feature area of the paper money to be detected;
the thickness data extraction unit is used for respectively extracting the thickness data of a first preset characteristic region and the thickness data of a second preset characteristic region of the paper money to be detected;
the thickness data sum calculating unit is used for respectively calculating the sum of the thickness data of the first preset feature region and the sum of the thickness data of the second preset feature region after respectively extracting the thickness data of the first preset feature region and the thickness data of the second preset feature region of the paper money to be detected;
and the old and new grade detection unit is used for determining the old and new grades of the paper money to be detected according to the sum of the thickness data of the first preset characteristic area and the sum of the thickness data of the second preset characteristic area.
5. The apparatus of claim 4, wherein the first predetermined characteristic region is a collar region and the second predetermined characteristic region is a national emblem region; or
The first preset characteristic region is a national emblem region, and the second preset characteristic region is a collar region.
6. The apparatus of claim 4, wherein the old-new level detection unit is configured to:
according to the formula y1＝k1s1+b1Calculating a first characteristic value corresponding to the sum of the thickness data of the first preset characteristic region;
according to the formula y2＝k2s2+b2Calculating a second characteristic value corresponding to the sum of the thicknesses of the second preset characteristic region;
wherein k is1、b1、k2And b2All represent a characteristic parameter, s1Sum of thickness data, s, representing a first predetermined characteristic region2Sum of thickness data, y, representing second predetermined characteristic region1Representing a first characteristic value, y2Representing a second characteristic value;
and taking the maximum value of the first characteristic value and the second characteristic value as the new grade and the old grade of the paper money to be detected.
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