CN106971450B - method and device for identifying abnormal thickness of paper money - Google Patents
method and device for identifying abnormal thickness of paper money Download PDFInfo
- Publication number
- CN106971450B CN106971450B CN201710191953.4A CN201710191953A CN106971450B CN 106971450 B CN106971450 B CN 106971450B CN 201710191953 A CN201710191953 A CN 201710191953A CN 106971450 B CN106971450 B CN 106971450B
- Authority
- CN
- China
- Prior art keywords
- thickness
- paper money
- abnormal
- detection
- information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- 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
- G07D7/16—Testing the dimensions
- G07D7/164—Thickness
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Inspection Of Paper Currency And Valuable Securities (AREA)
- Length Measuring Devices With Unspecified Measuring Means (AREA)
Abstract
The embodiment of the invention discloses a method and a device for identifying abnormal thickness of paper money. The method comprises the following steps: the method comprises the steps that thickness detection is carried out on paper money through at least two paths of thickness sensors, and each path of thickness sensor respectively obtains first thickness information of a group of target points corresponding to the paper money; calculating the average value of each group of the first thickness information to obtain second thickness information corresponding to each path of thickness sensor; and if the first proportion of the thickness sensor of which the second thickness information is within the first thickness range is smaller than a first proportion threshold value, judging that the thickness of the paper money is abnormal. By adopting the technical scheme, the method and the device can improve the accuracy of identifying the thickness abnormality of the paper money, reduce the time consumed by manual identification and improve the identification rate of the paper money with the abnormal thickness on the premise of ensuring the identification speed of the thickness abnormality of the paper money.
Description
Technical Field
The embodiment of the invention relates to the technical field of paper thickness detection, in particular to a method and a device for identifying abnormal paper money thickness.
Background
With the pace of life of people increasing and the number of currency circulation increasing, the automatic teller machine is becoming one of the most common tools for people to deposit and withdraw money.
In the circulation process of paper money, along with the increase of the use times, the paper money is inevitably damaged and damaged, and when the paper money is greatly damaged, people often adopt transparent adhesive tapes to paste the damaged part of the paper money. For a bank, when damaged paper money occurs, the damaged paper money needs to be timely recycled. Therefore, in order to reduce the manpower and material resources required for identifying the defective and damaged bills, it is common to install a bill identifying module in the automated teller machine and measure the thickness of the bills through the bill identifying module to primarily identify the defective and damaged bills. However, the inventor finds that the prior art has the following technical defects in the process of implementing the invention: the existing currency detecting module has low identification rate for abnormal paper money (such as damaged and incomplete paper money) and can not greatly reduce the consumption of manpower and material resources in the identification process of the damaged and incomplete paper money.
Disclosure of Invention
in view of this, embodiments of the present invention provide a method and an apparatus for identifying abnormal banknote thickness, so as to solve the technical problem of low recognition rate of abnormal banknotes in the prior art.
In a first aspect, an embodiment of the present invention provides a method for identifying banknote thickness abnormality, including:
the method comprises the steps that thickness detection is carried out on paper money through at least two paths of thickness sensors, and each path of thickness sensor respectively obtains first thickness information of a group of target points corresponding to the paper money;
Calculating the average value of each group of the first thickness information to obtain second thickness information corresponding to each path of thickness sensor;
And if the first proportion of the thickness sensor of which the second thickness information is within the first thickness range is smaller than a first proportion threshold value, judging that the thickness of the paper money is abnormal.
In a second aspect, an embodiment of the present invention further provides an apparatus for identifying a banknote thickness abnormality, including:
the device comprises a first thickness acquisition module, a second thickness acquisition module and a third thickness acquisition module, wherein the first thickness acquisition module is used for detecting the thickness of paper money through at least two paths of thickness sensors, and each path of thickness sensor respectively acquires first thickness information of a group of target points corresponding to the paper money;
The second thickness obtaining module is used for calculating the average value of each group of the first thickness information to obtain second thickness information corresponding to each path of thickness sensor;
and the first judging module is used for judging that the thickness of the paper money is abnormal if the first proportion of the thickness sensor of which the second thickness information is within the first thickness range is smaller than a first proportion threshold value.
According to the technical scheme for identifying the thickness abnormality of the paper money, the thickness of the paper money is detected through a plurality of paths of thickness sensors to obtain first thickness information of a plurality of groups of target points of the paper money, the first thickness information of each group of target points is averaged to obtain second thickness information corresponding to each path of thickness sensor, and if the proportion of the thickness sensors, located in the range of the first thickness, of the second thickness information is smaller than a first proportion threshold value, the thickness abnormality of the paper money is judged. By adopting the technical scheme, the embodiment of the invention can judge whether the detected paper money is incomplete or is adhered with the adhesive tape paper, can detect the counterfeit money with abnormal thickness, improves the accuracy rate of identifying the abnormal thickness of the paper money, reduces the time consumed by manual identification and improves the identification rate of the paper money with abnormal thickness on the premise of ensuring the identification speed of the abnormal thickness of the paper money.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments made with reference to the following drawings:
Fig. 1A is a schematic flow chart of a banknote thickness identification method according to an embodiment of the present invention;
Fig. 1B is a schematic diagram of relative positions of a banknote and a thickness sensor according to a first embodiment of the present invention;
Fig. 2 is a schematic flow chart of a banknote thickness discriminating method according to a second embodiment of the present invention;
fig. 3 is a schematic flow chart of a banknote thickness discriminating method according to a third embodiment of the present invention;
Fig. 4 is a block diagram of a banknote thickness discriminating apparatus 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 but not all of the relevant aspects of the present invention are shown in the drawings.
example one
the embodiment of the invention provides a method for identifying abnormal thickness of paper money. The method can be carried out by a device for discriminating banknote thickness anomalies, wherein the device can be implemented by software and/or hardware, and can be generally integrated in an automated teller machine. Fig. 1A is a schematic flow chart of a method for identifying banknote thickness abnormality according to an embodiment of the present invention, as shown in fig. 1A, the method includes:
S101, thickness detection is carried out on paper money through at least two paths of thickness sensors, and each path of thickness sensor respectively obtains first thickness information of a group of target points corresponding to the paper money.
specifically, the number and the type of the thickness sensors may be flexibly set according to needs, for example, the thickness of the banknote may be detected by using 10 or 12 paths of thickness sensors, the number of each path of thickness sensor may be one, and the thickness sensors may be contact type thickness sensors such as an inductive displacement sensor, a capacitive displacement sensor, a potentiometer type displacement sensor, or a hall type displacement sensor.
for example, when the thickness of the paper money is detected, the thickness sensors can be placed in parallel, the total width when the thickness sensors are placed in parallel can be equal to or slightly larger than the width of the long side or the short side of the paper money, and correspondingly, if the total width when the thickness sensors are placed in parallel is equal to or slightly larger than the width of the short side of the paper money but smaller than the width of the long side of the paper money, the paper money can be moved to the detection area of the thickness sensors along the long side direction of the paper money so as to detect the thickness of the paper money; if the total width of the parallel arrangement of the thickness sensors is equal to or slightly larger than the width of the long side of the paper currency, the paper currency can be moved to the detection area of the thickness sensors along the long side direction or the short side direction to detect the thickness of the paper currency.
As shown in fig. 1B, in consideration of the utilization rate of the thickness sensors 20 and the thickness detection efficiency of the banknote 10, it is preferable that the total width of the parallel thickness sensors 20 be set to a value equal to or slightly greater than the width of the long side of the banknote, and that the long side of the banknote 10 be placed parallel to the arrangement direction of the thickness sensors 20 so that the banknote 10 can move in the short side direction thereof into the detection area of the thickness sensors 20, and at this time, each of the thickness sensors 20 can acquire a set of target points 11 of the banknote 10, and each set of target points 11 be a row of target points distributed in the short side direction of the banknote (assuming that the long side direction of the banknote is the row direction and the short side direction is the column direction).
In this embodiment, the target point acquired by a certain path of thickness sensor may be in one-to-one correspondence with the acquisition point directly acquired by the path of thickness sensor (that is, the acquisition point information acquired by a certain path of thickness sensor is the target point information corresponding to the path of thickness sensor), or may be a part of the acquisition point of the path of thickness sensor; or an indirect collection point obtained by correspondingly processing the collection point of the path of thickness sensor, that is, the target point of the banknote is not or not completely the collection point of the banknote, which is not limited here. When the thickness of the paper money is detected, interval information before the collection point of each sensor can be preset, then the paper money is subjected to thickness collection through each sensor according to the interval information corresponding to the sensor to obtain thickness information of the collection point corresponding to each sensor, and finally the thickness information of the collection point or the collection point is processed according to a set rule to obtain first thickness information of a target point corresponding to each sensor.
And S102, calculating the average value of each group of first thickness information to obtain second thickness information corresponding to each path of thickness sensor.
For example, the target points corresponding to the same thickness sensor may be divided into the same group of target points, and correspondingly, each group of the first thickness information is the first thickness information of each target point in the corresponding group of each path of the thickness sensor. In this embodiment, an average value of the first thickness information of each target point in a group corresponding to a certain path of thickness sensor may be used as the second thickness information corresponding to the path of thickness sensor, where the average value of the first thickness information of each target point in a group may be an arithmetic average value of the first thickness information of each target point in the group.
s103, if the first proportion of the thickness sensor of which the second thickness information is located in the first thickness range is smaller than a first proportion threshold value, judging that the thickness of the paper money is abnormal.
Accordingly, if the first ratio of the thickness sensor in which the second thickness information is within the first thickness range is greater than or equal to the first ratio threshold, it can be determined that the thickness of the banknote is normal.
in this embodiment, the first thickness range may be a normal thickness range of the non-damaged banknote, and the normal thickness range may be obtained by detecting thickness ranges of a plurality of banknotes, or may be set by an operator or a developer according to the normal thickness of the non-damaged banknote; the first proportional threshold may also be set as needed, and is not limited herein. For example, if the requirement on the thickness information of the banknote with non-abnormal thickness (i.e., the banknote with normal thickness) is strict, the first thickness range may be set to a smaller section length and/or the first proportional threshold may be set to a larger value; if the requirement for the thickness information of the non-abnormal-thickness banknote is not very strict, the section length of the first thickness range may be increased appropriately and/or the value of the first proportional threshold may be increased appropriately.
Taking renminbi as an example, assuming that the first thickness range during renminbi thickness detection is set to be 80 μm-120 μm (the thickness average of non-damaged renminbi is about 100 μm), the first proportional threshold during renminbi thickness detection is set to be 0.5, and the thickness of the renminbi is detected by 10 paths of thickness sensors, at this time, if the number of the thickness sensors with the second thickness information smaller than 80 μm and/or the second thickness information larger than 120 μm exceeds 5 paths, it can be determined that the thickness of the renminbi is abnormal.
for example, after determining that the thickness of the banknote is abnormal, the banknote with the abnormal thickness can be processed according to the corresponding processing rule. For example, assuming that a thickness sensor is located in an Automatic Teller Machine (ATM), if it is determined that a banknote deposited in the ATM by a user is abnormal in thickness when the user deposits, the banknote may be returned to a deposit and withdrawal port of the ATM; if the thickness of the paper money entering the paper money access port from the circulating paper money box is judged to be abnormal when a user withdraws the paper money, the paper money can be recovered into a recovery paper money box of the ATM.
The method for identifying thickness abnormality of paper money provided by the embodiment of the invention performs thickness detection on paper money through a plurality of paths of thickness sensors to obtain first thickness information of a plurality of groups of target points of the paper money, averages the first thickness information of each group of target points respectively to obtain second thickness information corresponding to each path of thickness sensor, and judges that the paper money has abnormal thickness if the proportion of the thickness sensors of which the second thickness information is within a first thickness range is smaller than a first proportion threshold value. By adopting the technical scheme, the embodiment of the invention can judge whether the detected paper money is incomplete or is adhered with the adhesive tape paper, can detect the counterfeit money with abnormal thickness, improves the accuracy rate of identifying the abnormal thickness of the paper money, reduces the time consumed by manual identification and improves the identification rate of the paper money with abnormal thickness on the premise of ensuring the identification speed of the abnormal thickness of the paper money.
example two
Fig. 2 is a schematic flow chart of a banknote thickness anomaly identification method according to a second embodiment of the present invention, which is optimized based on the above embodiments, and further, the banknote thickness anomaly identification method according to the present embodiment may further include: if the first proportion is larger than or equal to the first proportion threshold, determining a second thickness range corresponding to the detection position of the paper money in each path of thickness sensor according to a set method; respectively acquiring the maximum number of continuous target points of which the first thickness information is outside the second thickness range in each group of target points; and if the second proportion of the maximum number in the total number of the target points in the group is larger than a second proportion threshold value, judging that the thickness of the paper money is abnormal.
further, the method for identifying thickness abnormality of paper money provided by the embodiment may further include: if the second proportion is smaller than or equal to the second proportion threshold value, acquiring a target point of the first thickness information which does not accord with the banknote thickness model to obtain an abnormal point of the banknote; acquiring a maximum continuous area formed by the abnormal points in the paper money according to the positions of the abnormal points, wherein the maximum continuous area is used as a maximum abnormal area of the paper money; and if the third proportion of the number of the abnormal points in the maximum abnormal area in the total number of the target points of the paper money is greater than a third proportion threshold value, judging that the thickness of the paper money is abnormal.
Correspondingly, as shown in fig. 2, the method for identifying thickness abnormality of paper money according to the present embodiment includes:
S201, thickness detection is carried out on the paper money through at least two paths of thickness sensors, and each path of thickness sensor respectively acquires first thickness information of a group of target points corresponding to the paper money.
S202, calculating the average value of each group of first thickness information to obtain second thickness information corresponding to each path of thickness sensor, and executing step 203 or step 204.
S203, if the first proportion of the thickness sensor of which the second thickness information is located in the first thickness range is smaller than a first proportion threshold value, judging that the thickness of the paper money is abnormal, and ending the operation.
And S204, if the first ratio is larger than or equal to the first ratio threshold, determining a second thickness range corresponding to the detection position of the banknote in each path of thickness sensor according to a setting method.
In this embodiment, the second thickness range may be a normal thickness range of the banknote at the detection position corresponding to each sensor, that is, a normal thickness range of each set of target points. The second thickness range corresponding to the detection position of a certain thickness sensor can be obtained in advance by detecting the thickness ranges of a plurality of paper currencies at the detection position or set by an operator or a developer (at this time, a common second thickness range can be set corresponding to the same detection position of a plurality of paper currencies of the same currency or the same type); the second thickness range corresponding to the detection position of the banknote in each path of thickness sensor can also be determined according to the related information of the detected banknote (in this case, the second thickness ranges corresponding to the same detection positions of a plurality of banknotes of the same currency or the same type may be different values).
In view of the accuracy of the determined second thickness range, it may be preferable to set a second thickness range corresponding to each banknote for each detection position of each banknote. At this time, when determining a second thickness range corresponding to the detection position of a certain thickness sensor of a certain banknote, the number information of the removal points and the number information of the effective points can be determined according to the number information of the target points; then, sorting the first thickness information of the target point of the paper money corresponding to the thickness sensor from big to small or from small to big, and respectively removing the target points at two ends of the sorting, the number of which is consistent with the number information of the removed points, from the sorted target points; and finally, sequentially acquiring target points of which the number is consistent with the number information of the effective points from the head ends of the rest sorted target points according to the sorting as first effective points at the detection position of the sensor, sequentially acquiring target points of which the number is consistent with the number information of the effective points from the tail ends of the rest sorted target points according to the sorting as second effective points at the detection position of the sensor, respectively calculating the mean values of the first thickness information of the first effective points and the second effective points, taking the two calculated mean values as two end points of a second thickness range corresponding to the detection position of the paper money, thereby determining the second thickness range corresponding to the detection position of the thickness sensor, and repeating the steps to determine the second thickness range corresponding to the detection position of the paper money at each path of thickness sensor.
For example, if each path of sensor corresponds to 138 target points of the banknote, the determined number information of the removal points is 3, and the number information of the effective points is 20, the process of determining the second thickness range corresponding to the detection position of a certain path of sensor may be: firstly, sorting 138 target points from small to large according to first thickness information (assuming that the serial number of each point after sorting is A1-A138), then sequentially removing 3 target points from the head end of the sorting from front to back according to the sorted order (point A1-point A3), and sequentially removing 3 target points from the tail end of the sorting from back to front (point A138-point A136); then, sequentially selecting 20 target points (point A4-point A23) from the front to the back as a first effective point from the head end of the sequence of the remaining target points (point A4-point A135), sequentially selecting 20 target points (point A135-point A116) from the back to the front as a second effective point from the tail end of the sequence of the remaining target points (point A4-point A135), and finally respectively calculating the mean values of the first effective point and the second effective point, and taking the mean values of the first effective point and the second effective point as two end points of a second thickness range corresponding to the detection position of the road sensor to determine the corresponding second thickness range at the detection position of the road sensor: assuming that the mean value of the first effective points is 103 μm and the mean value of the second effective points is 98 μm, the second thickness range corresponding to the detection position of the path sensor of the banknote is 98 μm-103 μm.
S205, respectively acquiring the maximum number of continuous target points of which the first thickness information is outside the second thickness range in each group of target points, and executing step 206 or step 207.
in this embodiment, the continuous target points in a certain group of target points may be target points adjacent to each other in the collection sequence or adjacent to each other at positions on the paper money; the continuous target points of which the first thickness information is located outside the second thickness range can be continuous target points of which the first thickness information is greater than the second thickness range or continuous target points of which the first thickness information is smaller than the second thickness range; the first thickness information may be a continuous target point larger or smaller than the second thickness range, which is not limited herein.
s206, if the second proportion of the maximum number in the total number of the target points in the group is larger than a second proportion threshold value, judging that the thickness of the paper money is abnormal, and ending the operation.
Correspondingly, if the second proportion of the maximum number of the target points in each group of the banknote in the total number of the target points in the group is smaller than or equal to the second proportion threshold, the thickness of the banknote may be determined to be normal, or step 207 may be executed to further perform subsequent determination.
For example, the second ratio of the set of target points may be obtained by dividing the maximum number of consecutive target points in the set of target points for which the first thickness information is outside the second thickness range by the total number of the set of target points. In this embodiment, the second proportion threshold may be set as needed, and the second proportion thresholds corresponding to the target points in each group may be the same or different values, for example, the second proportion threshold may be set to 10%, at this time, correspondingly, if the second proportion of at least one group of target points in each group of target points of the banknote is greater than 10%, it may be determined that the thickness of the banknote is abnormal.
And S207, if the second proportion is smaller than or equal to the second proportion threshold, acquiring a target point of the first thickness information which does not conform to the banknote thickness model to obtain an abnormal point of the banknote.
in this embodiment, the banknote thickness model may be a model of a normal thickness range of each target point of the banknote, and correspondingly, if the first thickness information of a certain target point does not conform to the normal thickness range of the target point in the banknote thickness model, the target point may be determined to be an abnormal point. The input value of the banknote thickness model may be the position coordinates (row coordinates and column coordinates) of the target point and the first thickness information of the target point, and the output value may be the target point being a normal point/an abnormal point. After the position coordinate and the first thickness information of a certain target point are input into the paper money thickness model, the paper money thickness model can obtain a normal thickness range of paper money at the position coordinate according to the position coordinate of the target point, then judges whether the first thickness information of the target point is located in the normal thickness range, and if so, judges that the target point is a normal point; if not, the target point is judged to be an abnormal point.
s208, acquiring a maximum continuous area formed by the abnormal points in the paper money according to the positions of the abnormal points, and taking the maximum continuous area as a maximum abnormal area of the paper money.
For example, the abnormal region may be a continuous region composed of abnormal points adjacent to each other in row coordinates and/or column coordinates, that is, each abnormal point in the continuous region is adjacent to one or more other abnormal points in the continuous region in the row direction or in the column direction; the maximum abnormal area may be a continuous area in which the number of abnormal points included in the bill is the largest. In this embodiment, the abnormal area of the banknote may be determined according to the row coordinate and the column coordinate of each abnormal point, and then the maximum abnormal area of the banknote may be determined according to the number of the abnormal points in each abnormal area.
S209, if the third proportion of the number of the abnormal points in the maximum abnormal area in the total number of the target points of the paper money is larger than a third proportion threshold value, judging that the thickness of the paper money is abnormal.
correspondingly, if the third proportion of the number of the abnormal points in the maximum abnormal area in the total number of the target points of the paper money is smaller than or equal to the third proportion threshold value, the thickness of the paper money can be judged to be normal.
For example, the third proportion of the abnormal points may be obtained by dividing the number of the abnormal points in the maximum abnormal region by the total number of the banknote target points. In this embodiment, the third proportion threshold may be set as needed, for example, the third proportion threshold may be set to a proportion value of 1% or 2%, and at this time, if the third proportion of the abnormal point of the maximum abnormal area of the banknote is greater than 1% or 2%, it may be determined that the thickness of the banknote is abnormal.
in the method for identifying abnormal banknote thickness provided by the second embodiment of the present invention, when the first ratio of the second thickness information of each set of target points corresponding to each sensor, which is located in the first thickness range, of the thickness sensors is greater than or equal to the first ratio threshold, whether the banknote is abnormal is further determined according to the second ratio of the maximum number of the continuous target points in each set of target points, which exceed the second thickness range, in the total number of the set of target points, and the third ratio of the total number of the abnormal points in the maximum abnormal region of the banknote in the total number of the target points of the banknote, so that the recognition rate of the banknote with abnormal thickness can be effectively increased, the time consumed for manually recognizing the banknote with abnormal thickness is reduced, and the user experience is improved.
On the basis of the above embodiment, before the obtaining the target point where the first thickness information does not conform to the banknote thickness model to obtain the abnormal point of the banknote, the method further includes: and acquiring the maximum thickness information and the minimum thickness information of each target point of the plurality of non-damaged paper currencies to generate a paper currency thickness model. For example, the thickness information of each collection point of a plurality of (such as 100, 500, 1000, etc.) non-damaged banknotes can be obtained by the thickness sensor, so that the thickness information of each collection point corresponding to each path of thickness sensor is determined, the maximum value and the minimum value of the first thickness information corresponding to each target point corresponding to each path of thickness sensor are further determined, and a banknote thickness model is generated according to the maximum value and the minimum value of the first thickness information corresponding to each target point.
EXAMPLE III
fig. 3 is a schematic flow chart of a method for identifying thickness anomaly of paper currency according to a third embodiment of the present invention, which is optimized based on the above embodiments, and in this embodiment, "thickness detection is performed on paper currency by at least two paths of thickness sensors, and each path of thickness sensor respectively acquires first thickness information of a set of target points corresponding to paper currency" is optimized as follows: the method comprises the steps that thickness detection is carried out on paper money through at least two paths of sensors to obtain first thickness detection values of all groups of collection points corresponding to all paths of thickness sensors; respectively sampling each group of acquisition points according to a set sampling rule to determine each group of target points of the paper money; and determining the first thickness information of each target point in each group according to the detection interval corresponding to the first thickness detection value of each target point and the corresponding relation between the detection value at the end point of the detection interval and the real value.
further, before determining the first thickness information of each target point in each group according to the detection interval corresponding to the first thickness detection value of each target point and the corresponding relationship between the detection value at the end point of the detection interval and the real value, the method further includes: performing thickness detection on at least two pieces of correction paper through at least two paths of thickness sensors to obtain a second thickness detection value of the correction paper, wherein the correction paper is uniform in thickness and the at least two pieces of correction paper correspond to at least two real thicknesses; determining a detection interval by taking second thickness detection values corresponding to the at least two real thicknesses as detection interval endpoints; and respectively determining the corresponding relation between the detection value and the real value of each path of sensor at the end point of the detection interval according to the second thickness detection value and the at least two real thicknesses.
correspondingly, as shown in fig. 3, the method for identifying thickness abnormality of paper money according to the present embodiment includes:
S301, performing thickness detection on at least two pieces of correction paper through at least two paths of thickness sensors to obtain a second thickness detection value of the correction paper, wherein the correction paper is uniform in thickness and the at least two pieces of correction paper correspond to at least two real thicknesses.
in this embodiment, the correction paper is a paper with a uniform thickness and a known real thickness; the at least two correction sheets and the at least two real thicknesses may be set one-to-one or many-to-one, that is, each real thickness may correspond to one or more correction sheets, which is not limited herein. In general, there is a linear interval between the actual value and the detected value of the thickness sensor, within which the actual value and the detected value of the thickness sensor are in a linear relationship, and therefore, the actual thickness of the correction paper used is preferably within the linear interval of the thickness sensor. Illustratively, assuming that the linear interval of the thickness sensor is 80 μm to 160 μm, and the number of the actual thicknesses corresponding to the correction papers is 3, considering the range of the actual thicknesses of the banknotes, the actual thicknesses corresponding to the selected correction papers may be, optionally, 100 μm, 120 μm, and 140 μm, respectively, and at this time, one or more correction papers having thicknesses of 100 μm, 120 μm, and 140 μm may be subjected to thickness detection by the thickness sensor, so as to determine the second thickness detection values of the three kinds of thickness correction papers (100 μm, 120 μm, and 140 μm).
s302, determining a detection interval by taking the second thickness detection values corresponding to the at least two real thicknesses as the detection interval end points.
In this embodiment, the second thickness detection values obtained by detecting the same correction paper by the thickness sensors may be the same or different, and correspondingly, the detection intervals corresponding to the thickness sensors may be the same or different, which is not limited herein. In the detection interval corresponding to a certain path of sensor, the second thickness detection values corresponding to the path thickness sensor may be sorted in order of their magnitudes, and two adjacent second thickness detection values may be respectively used as two end points of the detection interval corresponding to the path thickness sensor, for example, if the second thickness detection values corresponding to the calibration papers having the real thicknesses of 100 μm, 120 μm, and 140 μm are respectively 260 μm, 320 μm, and 378 μm, the determined detection intervals may be respectively (0, 260), [260, 320), [320, 378), and [378, + ∞).
s303, respectively determining the corresponding relation between the detection value and the real value of each sensor at the end point of the detection interval according to the second thickness detection value and the at least two real thicknesses.
generally, in the linear interval of the thickness sensors, the real values and the detection values are in a proportional relationship (i.e., the real values and the detection values are in a linear relationship and the constant terms thereof are 0), and therefore, the detection values at the end points of the detection interval can be divided by the real values thereof to determine the corresponding relationship between the detection values and the real values at the end points of the detection interval corresponding to each path of the thickness sensors. For example, assuming that the detection intervals corresponding to a certain path of thickness sensor are (0, 260), [260, 320), [320, 378) and [378, + ∞ ], the actual thicknesses (y) corresponding to the second thickness detection values (x) at the end points of the detection intervals (x)260 μm, 320 μm and 378 μm are 100 μm, 120 μm and 140 μm, respectively, the ratios between the second thickness detection values and the actual values at the end points of the detection intervals (x)260 μm, 320 μm and 378 μm are: when R260 ═ 160/100 ═ 2.6, R320 ═ 320/120 ═ 2.66, and R378 ═ 378/140 ═ 2.7, the correspondence between the actual thickness ym and the second thickness detection value xm may be: ym is xm/Rm.
S304, thickness detection is carried out on the paper money through at least two paths of sensors to obtain first thickness detection values of each group of collection points corresponding to each path of thickness sensor.
For example, the collection interval of each path of thickness sensor (i.e. the interval between adjacent collection points corresponding to each path of sensor) may be preset, and then the at least two paths of thickness sensors perform thickness detection on the paper money according to the corresponding collection intervals to obtain the first thickness information of each group of collection points corresponding to each path of thickness sensor. The acquisition intervals corresponding to the sensors in each path can be the same or different values, and the size of the acquisition intervals can be flexibly set according to needs, for example, the acquisition intervals can be set to be equal to the values of 10mm or 15 mm.
s305, sampling the groups of collection points respectively according to a set sampling rule to determine the groups of target points of the paper money.
In this embodiment, the sampling rule may be set as required, for example, one acquisition point may be acquired at intervals of a preset number of acquisition points as a sampling point, or each group of acquisition points may be divided into a plurality of point sets according to an acquisition sequence or a coordinate sequence in advance, and then each point set is processed according to a preset method (for example, an average value, a median value, a mode, or the like) to obtain a target point corresponding to each point set. In order to make the sampled target point representative, optionally, each group of the collection points may be divided into a point set including a plurality of collection points (each point set corresponds to one target point), each point set may be further divided into a sub-point set including at least two collection points, an average value of the first thickness detection values of the collection points in each sub-point set is calculated, and a median value of the average values in the same point set is taken as the target point corresponding to the point set. For example, a certain group of collection points may be divided into a plurality of point sets including 12 collection points according to the collection order, and further, the 12 collection points in each point set are divided into three sub-point sets each including 4 collection points, the average values (259 μm, 261 μm and 260 μm respectively) of the first thickness detection values (263 μm, 261 μm and 259 μm respectively; 259 μm, 261 μm and 260 μm) of the collection points in each sub-point set are respectively obtained, the median value (260 μm) of the three average values is taken as the target point corresponding to the point set, and the analogy is performed until the target point acquisition of each group of banknotes is completed.
S306, determining first thickness information of each target point in each group according to a detection interval corresponding to the first thickness detection value of each target point and the corresponding relation between the detection value at the end point of the detection interval and the real value.
for example, when determining the first thickness information of a certain target point, a detection interval corresponding to the target point may be first determined according to a first thickness detection value of the target point, then a corresponding relationship between a detection value and a real value at the target point is determined according to a ratio of a detection value and a real value at an endpoint of the detection interval, and then the first thickness information of the target point is determined according to the determined corresponding relationship and the first thickness detection value of the target point. For example, assuming that the first thickness detection value of a certain target point is 280 μm, the detection intervals of the thickness sensors corresponding to the target point are (0, 260), [260, 320), [320, 378) and [378, + ∞ respectively, and the ratios between the second thickness detection values and the true values at the detection interval end points 260 μm, 320 μm and 378 μm are R260 ═ 2.6, R320 ═ 2.66 and R378 ═ 2.7, respectively, the detection interval to which the first thickness detection value belongs may be determined to be [260, 320); and then calculating by adopting an interpolation method according to the ratio R260-2.6 and the ratio R320-2.66 at the end point of the interval to obtain the ratio between the detection value and the real value at the target point as follows: r280 ═ 2.6+ (280-: y 280/2.62 ≈ 106.87 μm.
And S307, calculating the average value of each group of first thickness information to obtain second thickness information corresponding to each path of thickness sensor.
s308, if the first proportion of the thickness sensor with the second thickness information within the first thickness range is smaller than a first proportion threshold value, judging that the thickness of the paper money is abnormal.
The method for identifying abnormal thickness of paper money provided by the third embodiment of the invention determines the corresponding relation between the detection value and the actual value at the end point of each detection interval of the paper money through the correction paper, samples each collection point of the paper money to determine the target point, determines the actual thickness of the target point according to the thickness detection value of the target point and the corresponding relation between the detection value and the actual value at the end point of the detection interval, and judges whether the thickness of the paper money is abnormal according to the actual thickness of each target point of the paper money. By adopting the technical scheme, the accuracy of the acquired actual thickness of each target point can be improved, so that the accuracy of the abnormal banknote thickness judgment result is improved, the time required by manual judgment is reduced, and the use experience of a user is improved.
Example four
the fourth embodiment of the invention provides a device for identifying abnormal thickness of paper money. The device is realized by software and/or hardware, can be generally integrated in the automatic teller machine, and can identify whether the thickness of the paper money is abnormal or not by executing an identification method for the thickness abnormality of the paper money. Fig. 4 is a block diagram showing the structure of the discriminating apparatus for banknote thickness abnormality according to the present embodiment, and as shown in fig. 4, the apparatus includes:
The first thickness acquisition module 401 is configured to perform thickness detection on paper money through at least two paths of thickness sensors, where each path of thickness sensor acquires first thickness information of a group of target points corresponding to the paper money;
a second thickness obtaining module 402, configured to calculate an average value of each group of the first thickness information to obtain second thickness information corresponding to each path of the thickness sensor;
A first determining module 403, configured to determine that the thickness of the banknote is abnormal if the first proportion of the thickness sensor, for which the second thickness information is located within the first thickness range, is smaller than a first proportion threshold.
In the identifying device for thickness abnormality of paper money provided by this embodiment, the first thickness obtaining module performs thickness detection on paper money through multiple paths of thickness sensors to obtain first thickness information of multiple groups of target points of the paper money, the second thickness obtaining module averages the first thickness information of each group of target points respectively to obtain second thickness information corresponding to each path of thickness sensor, and the first determining module determines that the thickness of the paper money is abnormal when the proportion of the thickness sensors whose second thickness information is within the first thickness range is smaller than a first proportion threshold. By adopting the technical scheme, the embodiment of the invention can judge whether the detected paper money is incomplete or is adhered with the adhesive tape paper, can detect the counterfeit money with abnormal thickness, improves the accuracy rate of identifying the abnormal thickness of the paper money, reduces the time consumed by manual identification and improves the identification rate of the paper money with abnormal thickness on the premise of ensuring the identification speed of the abnormal thickness of the paper money.
further, the banknote thickness abnormality discriminating device provided in this embodiment may further include: the thickness range determining module is used for determining a second thickness range corresponding to the detection position of the paper money in each path of thickness sensor according to a set method if the first ratio is greater than or equal to the first ratio threshold; the continuous target point acquisition module is used for respectively acquiring the maximum number of continuous target points of which the first thickness information is positioned outside the second thickness range in each group of target points; and the second judging module is used for judging that the thickness of the paper money is abnormal if a second proportion of the maximum number in the total number of the target points in the group is greater than a second proportion threshold value.
Further, the banknote thickness abnormality discriminating device provided in this embodiment may further include: the abnormal point acquisition module is used for acquiring a target point of the banknote, wherein the first thickness information does not conform to the banknote thickness model, so as to obtain an abnormal point of the banknote, if the second proportion is smaller than or equal to the second proportion threshold; the abnormal area determining module is used for acquiring a maximum continuous area formed by the abnormal points in the paper money according to the positions of the abnormal points and taking the maximum continuous area as a maximum abnormal area of the paper money; and the third judging module is used for judging that the thickness of the paper money is abnormal if a third proportion of the number of the abnormal points in the maximum abnormal area in the total number of the paper money target points is greater than a third proportion threshold value.
In the above aspect, the banknote thickness abnormality discriminating device may further include: and the thickness model generating module is used for acquiring the maximum thickness information and the minimum thickness information of each target point of a plurality of non-damaged paper currencies to generate a paper currency thickness model before acquiring the target point of which the first thickness information does not conform to the paper currency thickness model to obtain the abnormal point of the paper currency.
in the foregoing aspect, the first thickness obtaining module may include: the banknote detection unit is used for detecting the thickness of the banknote through at least two paths of sensors to obtain first thickness detection values of each group of collection points corresponding to each path of thickness sensor; the collection point sampling unit is used for respectively sampling each group of collection points according to a set sampling rule so as to determine each group of target points of the paper money; and the first thickness determining unit is used for determining the first thickness information of each target point in each group according to the detection interval corresponding to the first thickness detection value of each target point and the corresponding relation between the detection value at the end point of the detection interval and the real value.
Further, the banknote thickness abnormality discriminating device provided in this embodiment may further include: the correction paper detection unit is used for detecting the thickness of at least two pieces of correction paper through at least two paths of thickness sensors to obtain a second thickness detection value of the correction paper before determining the first thickness information of each target point in each group according to a detection interval corresponding to the first thickness detection value of each target point and the corresponding relation between the detection value at the end point of the detection interval and the real value, wherein the thickness of the correction paper is uniform, and the at least two pieces of correction paper correspond to at least two real thicknesses; the detection interval determining unit is used for determining a detection interval by taking second thickness detection values corresponding to the at least two real thicknesses as detection interval endpoints; and the corresponding relation determining unit is used for respectively determining the corresponding relation between the detection value and the real value of each sensor at the end point of the detection interval according to the second thickness detection value and the at least two real thicknesses.
The banknote thickness abnormity identification device provided by the fourth embodiment of the invention can execute the banknote thickness abnormity identification method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the banknote thickness abnormity identification method. For the technical details not described in detail in this embodiment, reference may be made to the method for identifying banknote thickness anomalies provided in any embodiment of the present invention.
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 (10)
1. A method for discriminating an abnormal thickness of a bill, comprising:
The method comprises the steps that thickness detection is carried out on paper money through at least two paths of thickness sensors, and each path of thickness sensor respectively obtains first thickness information of a group of target points corresponding to the paper money;
calculating the average value of each group of the first thickness information to obtain second thickness information corresponding to each path of thickness sensor;
If the first proportion of the thickness sensor of which the second thickness information is within the first thickness range is smaller than a first proportion threshold value, judging that the thickness of the paper money is abnormal;
if the first proportion is larger than or equal to the first proportion threshold, determining a second thickness range corresponding to the detection position of the paper money in each path of thickness sensor according to a set method;
respectively acquiring the maximum number of continuous target points of which the first thickness information is outside the second thickness range in each group of target points;
And if the second proportion of the maximum number in the total number of the target points in the group is larger than a second proportion threshold value, judging that the thickness of the paper money is abnormal.
2. The method of claim 1, further comprising:
if the second proportion is smaller than or equal to the second proportion threshold value, acquiring a target point of the first thickness information which does not accord with the banknote thickness model to obtain an abnormal point of the banknote;
Acquiring a maximum continuous area formed by the abnormal points in the paper money according to the positions of the abnormal points, wherein the maximum continuous area is used as a maximum abnormal area of the paper money;
And if the third proportion of the number of the abnormal points in the maximum abnormal area in the total number of the target points of the paper money is greater than a third proportion threshold value, judging that the thickness of the paper money is abnormal.
3. The method according to claim 2, wherein before the obtaining the first thickness information does not conform to the target point of the banknote thickness model to obtain the abnormal point of the banknote, further comprising:
And acquiring the maximum thickness information and the minimum thickness information of each target point of the plurality of non-damaged paper currencies to generate a paper currency thickness model.
4. A method for discriminating an abnormal thickness of a bill, comprising:
the method comprises the steps that thickness detection is carried out on paper money through at least two paths of thickness sensors, and each path of thickness sensor respectively obtains first thickness information of a group of target points corresponding to the paper money;
calculating the average value of each group of the first thickness information to obtain second thickness information corresponding to each path of thickness sensor;
If the first proportion of the thickness sensor of which the second thickness information is within the first thickness range is smaller than a first proportion threshold value, judging that the thickness of the paper money is abnormal;
The thickness detection is carried out on the paper money through at least two paths of thickness sensors, and each path of thickness sensor respectively acquires first thickness information of a group of target points corresponding to the paper money, and the thickness detection method comprises the following steps:
The method comprises the steps that thickness detection is carried out on paper money through at least two paths of sensors to obtain first thickness detection values of all groups of collection points corresponding to all paths of thickness sensors;
respectively sampling each group of acquisition points according to a set sampling rule to determine each group of target points of the paper money;
And determining the first thickness information of each target point in each group according to the detection interval corresponding to the first thickness detection value of each target point and the corresponding relation between the detection value at the end point of the detection interval and the real value.
5. the method according to claim 4, before determining the first thickness information of each target point in each group according to the detection interval corresponding to the first thickness detection value of each target point and the correspondence between the detection value at the end point of the detection interval and the real value, further comprising:
Performing thickness detection on at least two pieces of correction paper through at least two paths of thickness sensors to obtain a second thickness detection value of the correction paper, wherein the correction paper is uniform in thickness and the at least two pieces of correction paper correspond to at least two real thicknesses;
Determining a detection interval by taking second thickness detection values corresponding to the at least two real thicknesses as detection interval endpoints;
and respectively determining the corresponding relation between the detection value and the real value of each path of sensor at the end point of the detection interval according to the second thickness detection value and the at least two real thicknesses.
6. An apparatus for discriminating an abnormal thickness of a bill, comprising:
The device comprises a first thickness acquisition module, a second thickness acquisition module and a third thickness acquisition module, wherein the first thickness acquisition module is used for detecting the thickness of paper money through at least two paths of thickness sensors, and each path of thickness sensor respectively acquires first thickness information of a group of target points corresponding to the paper money;
the second thickness obtaining module is used for calculating the average value of each group of the first thickness information to obtain second thickness information corresponding to each path of thickness sensor;
The first judging module is used for judging that the thickness of the paper money is abnormal if a first proportion of a thickness sensor of which the second thickness information is located in a first thickness range is smaller than a first proportion threshold value;
The thickness range determining module is used for determining a second thickness range corresponding to the detection position of the paper money in each path of thickness sensor according to a set method if the first ratio is greater than or equal to the first ratio threshold;
The continuous target point acquisition module is used for respectively acquiring the maximum number of continuous target points of which the first thickness information is positioned outside the second thickness range in each group of target points;
and the second judging module is used for judging that the thickness of the paper money is abnormal if a second proportion of the maximum number in the total number of the target points in the group is greater than a second proportion threshold value.
7. the apparatus of claim 6, further comprising:
The abnormal point acquisition module is used for acquiring a target point of the banknote, wherein the first thickness information does not conform to the banknote thickness model, so as to obtain an abnormal point of the banknote, if the second proportion is smaller than or equal to the second proportion threshold;
The abnormal area determining module is used for acquiring a maximum continuous area formed by the abnormal points in the paper money according to the positions of the abnormal points and taking the maximum continuous area as a maximum abnormal area of the paper money;
And the third judging module is used for judging that the thickness of the paper money is abnormal if a third proportion of the number of the abnormal points in the maximum abnormal area in the total number of the paper money target points is greater than a third proportion threshold value.
8. the apparatus of claim 7, further comprising:
And the thickness model generating module is used for acquiring the maximum thickness information and the minimum thickness information of each target point of a plurality of non-damaged paper currencies to generate a paper currency thickness model before acquiring the target point of which the first thickness information does not conform to the paper currency thickness model to obtain the abnormal point of the paper currency.
9. An apparatus for discriminating an abnormal thickness of a bill, comprising:
the device comprises a first thickness acquisition module, a second thickness acquisition module and a third thickness acquisition module, wherein the first thickness acquisition module is used for detecting the thickness of paper money through at least two paths of thickness sensors, and each path of thickness sensor respectively acquires first thickness information of a group of target points corresponding to the paper money;
The second thickness obtaining module is used for calculating the average value of each group of the first thickness information to obtain second thickness information corresponding to each path of thickness sensor;
the first judging module is used for judging that the thickness of the paper money is abnormal if a first proportion of a thickness sensor of which the second thickness information is located in a first thickness range is smaller than a first proportion threshold value;
the first thickness acquisition module includes:
the banknote detection unit is used for detecting the thickness of the banknote through at least two paths of sensors to obtain first thickness detection values of each group of collection points corresponding to each path of thickness sensor;
The collection point sampling unit is used for respectively sampling each group of collection points according to a set sampling rule so as to determine each group of target points of the paper money;
And the first thickness determining unit is used for determining the first thickness information of each target point in each group according to the detection interval corresponding to the first thickness detection value of each target point and the corresponding relation between the detection value at the end point of the detection interval and the real value.
10. The apparatus of claim 9, further comprising:
The correction paper detection unit is used for detecting the thickness of at least two pieces of correction paper through at least two paths of thickness sensors to obtain a second thickness detection value of the correction paper before determining the first thickness information of each target point in each group according to a detection interval corresponding to the first thickness detection value of each target point and the corresponding relation between the detection value at the end point of the detection interval and the real value, wherein the thickness of the correction paper is uniform, and the at least two pieces of correction paper correspond to at least two real thicknesses;
the detection interval determining unit is used for determining a detection interval by taking second thickness detection values corresponding to the at least two real thicknesses as detection interval endpoints;
and the corresponding relation determining unit is used for respectively determining the corresponding relation between the detection value and the real value of each sensor at the end point of the detection interval according to the second thickness detection value and the at least two real thicknesses.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710191953.4A CN106971450B (en) | 2017-03-28 | 2017-03-28 | method and device for identifying abnormal thickness of paper money |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710191953.4A CN106971450B (en) | 2017-03-28 | 2017-03-28 | method and device for identifying abnormal thickness of paper money |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106971450A CN106971450A (en) | 2017-07-21 |
| CN106971450B true CN106971450B (en) | 2019-12-06 |
Family
ID=59336047
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710191953.4A Active CN106971450B (en) | 2017-03-28 | 2017-03-28 | method and device for identifying abnormal thickness of paper money |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106971450B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108492443B (en) * | 2018-03-22 | 2020-09-15 | 深圳怡化电脑股份有限公司 | Method, device and equipment for detecting adhesive tape on paper money and storage medium |
| CN110927160A (en) * | 2019-11-14 | 2020-03-27 | 芜湖东旭光电科技有限公司 | Method and device for detecting spacing paper |
| CN111625025B (en) * | 2020-04-24 | 2023-04-28 | Oppo（重庆）智能科技有限公司 | Parameter calibration method and device, storage medium and electronic equipment |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP5193409B2 (en) * | 2001-09-21 | 2013-05-08 | 株式会社東芝 | Inspection method and test medium for paper sheet processing apparatus and paper sheet processing apparatus |
| JP4387176B2 (en) * | 2003-12-12 | 2009-12-16 | 日立オムロンターミナルソリューションズ株式会社 | Banknote discrimination |
| JP4633665B2 (en) * | 2006-03-30 | 2011-02-16 | ローレル精機株式会社 | Discoid metal identification device |
| CN102176262B (en) * | 2011-01-17 | 2013-01-02 | 广州广电运通金融电子股份有限公司 | Thickness detecting method and device for slice medium |
| CN103617671B (en) * | 2013-12-12 | 2016-08-17 | 广州广电运通金融电子股份有限公司 | The recognition methods of a kind of thickness abnormity banknote and system |
| JP6318969B2 (en) * | 2014-08-18 | 2018-05-09 | 沖電気工業株式会社 | Cash processing equipment |
| CN104408819B (en) * | 2014-12-05 | 2017-06-13 | 深圳怡化电脑股份有限公司 | A kind of detection method of bank note adhesive tape |
-
2017
- 2017-03-28 CN CN201710191953.4A patent/CN106971450B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN106971450A (en) | 2017-07-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106971450B (en) | method and device for identifying abnormal thickness of paper money | |
| WO2015085815A1 (en) | Method and system for recognizing bill with abnormal thickness | |
| CN104408819B (en) | A kind of detection method of bank note adhesive tape | |
| CN105354913B (en) | A kind of method and device of detection bank note | |
| CN106952393B (en) | Paper money identification method and device, electronic equipment and storage medium | |
| CN105184950A (en) | Method and device for analyzing banknote to be old or new | |
| CN106875540B (en) | Paper money thickness abnormity detection method and device | |
| CN107507330A (en) | Detection method, detection means and the terminal device of banknote thickness abnormity | |
| CN115311629A (en) | Abnormal bending precision monitoring system of bending machine | |
| CN105139508A (en) | Method and device for detecting paper money | |
| EP2525332B1 (en) | Paper sheet identification device and paper sheet identification method | |
| CN106530489B (en) | A kind of banknote handling device and method | |
| CN107680246B (en) | Method and equipment for positioning curve boundary in paper money pattern | |
| CN106780965A (en) | A kind of Paper Currency Identification and device | |
| EP2431951A2 (en) | Sheet processing apparatus and sheet processing method | |
| CN107978062B (en) | Method and device for detecting adhesive tape money | |
| CN108492443B (en) | Method, device and equipment for detecting adhesive tape on paper money and storage medium | |
| CN107123187A (en) | A kind of authenticity of banknotes detection method and system | |
| CN107067540A (en) | The detection method and device that a kind of paper is re-opened | |
| CN104517348A (en) | Novel banknote recognition module | |
| CN112509209A (en) | Paper currency magnetic detection method and device, currency detection equipment and readable storage medium | |
| CN106296975A (en) | The recognition methods of a kind of dollar bill face amount and device | |
| JP3549935B2 (en) | Paper sheet identification device | |
| CN108961530B (en) | Paper currency defect identification method and system | |
| CN108510638B (en) | Paper money identification method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |