CN108877028B - Method, device and equipment for detecting paper money - Google Patents
Method, device and equipment for detecting paper money Download PDFInfo
- Publication number
- CN108877028B CN108877028B CN201710341148.5A CN201710341148A CN108877028B CN 108877028 B CN108877028 B CN 108877028B CN 201710341148 A CN201710341148 A CN 201710341148A CN 108877028 B CN108877028 B CN 108877028B
- Authority
- CN
- China
- Prior art keywords
- paper money
- area
- detected
- preset target
- image acquisition
- 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
Images
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
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Image Analysis (AREA)
- Inspection Of Paper Currency And Valuable Securities (AREA)
Abstract
The embodiment of the invention discloses a method, a device and equipment for detecting paper money. The method comprises the following steps: acquiring position information of an angular point of the paper money to be detected; judging whether an angular point exceeding a preset target area exists according to the position information of the angular point, wherein the preset target area comprises an image acquisition area of the paper money to be detected, and the preset target area is larger than the image acquisition area; and when the angular point exceeding the preset target area does not exist, determining the paper money to be detected as the non-abnormal paper money. The technical scheme provided by the embodiment of the invention effectively avoids the condition that the normal paper money is identified as the defective paper money and other abnormal paper money due to incomplete collection of the normal paper money caused by inclined paper money and other reasons, and effectively improves the identification rate of the paper money and the currency detection efficiency of financial self-service equipment such as ATM and the like.
Description
Technical Field
The embodiment of the invention relates to a paper money detection technology, in particular to a paper money detection method, a device and equipment.
Background
The current circulation of paper currency is more and more frequent, and the appearance of financial self-service equipment provides very big facility for the transaction of paper currency.
At present, currency detectors are generally arranged in financial self-service equipment, and the currency detectors can check the truth, the damage and other conditions of paper currency and provide guarantee for automatic transaction of the paper currency. In the process of currency detection, the uneven currency distribution force of the transmission channel can enable the paper currency to incline, when the inclination angle of the paper currency is large, the collected image can not completely contain the information of the paper currency, and if the image collection of a certain angle part of the paper currency is incomplete. When the financial self-service equipment carries out transaction, such as the currency detection process of Automatic Teller Machine (ATM) automatic deposit and withdrawal, the integrity of the banknote image can be detected and analyzed, and normal banknotes which cannot collect the complete banknote image due to banknote inclination cannot pass through the currency detection and are identified as abnormal banknotes such as defective banknotes, and when the ATM is used for depositing and withdrawing, a large amount of rejected banknotes or waste banknotes can be generated, so that the currency detection efficiency of the ATM and other financial self-service equipment is influenced, and the working efficiency of the ATM and other financial self-service equipment is reduced.
Disclosure of Invention
The embodiment of the invention provides a method, a device and equipment for detecting paper money, which are used for eliminating the influence of incomplete collected paper money images on the characteristic recognition of normal paper money due to the inclination of the paper money and improving the recognition rate of the paper money and the currency detection efficiency of financial self-service equipment such as ATM and the like.
In a first aspect, an embodiment of the present invention provides a method for detecting a banknote, where the method includes:
acquiring position information of an angular point of the paper money to be detected;
judging whether an angular point exceeding a preset target area exists according to the position information of the angular point, wherein the preset target area comprises an image acquisition area of the paper money to be detected, and the preset target area is larger than the image acquisition area;
and when the angular point exceeding the preset target area does not exist, determining the paper money to be detected as the non-abnormal paper money.
In a second aspect, an embodiment of the present invention further provides a banknote detection apparatus, including:
the position information acquisition module is used for acquiring the position information of the corner points of the paper money to be detected;
the angular point judging module is used for judging whether an angular point exceeding a preset target area exists according to the position information of the angular point, wherein the preset target area comprises an image acquisition area of the paper money to be detected, and the preset target area is larger than the image acquisition area;
and the first non-abnormal paper money determining module is used for determining the paper money to be detected as non-abnormal paper money when judging that no angular point exceeding a preset target area exists.
In a third aspect, an embodiment of the present invention further provides a banknote detection apparatus, including:
one or more processors;
a memory for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the method of detecting a banknote according to the first aspect.
The method for detecting the paper money provided by the embodiment of the invention comprises the steps of obtaining the position information of the corner point of the paper money to be detected; judging whether angular points exceeding a preset target area exist or not according to the position information of the angular points, wherein the preset target area comprises an image acquisition area of the paper money to be detected, and the preset target area is larger than the image acquisition area; when the angular point exceeding the preset target area does not exist in judgment, the paper money to be detected is determined to be the abnormal paper money, the situation that the normal paper money is not collected completely and is recognized as the abnormal paper money such as the defect of the paper money due to the inclination of the paper money and other reasons is effectively avoided, and the recognition rate of the paper money and the currency detection efficiency of financial self-service equipment such as an ATM are effectively improved.
Drawings
FIG. 1a is a flow chart of a banknote detecting method according to an embodiment of the present invention;
fig. 1b is a schematic diagram illustrating a relationship between an image capture area of a banknote to be detected and a preset target area according to an embodiment of the present invention;
FIG. 2 is a flow chart of a banknote detecting method according to a second embodiment of the present invention;
FIG. 3a is a flow chart of a banknote detecting method according to a third embodiment of the present invention;
FIG. 3b is a schematic diagram of the position relationship of the to-be-detected bill in the image capturing area according to the third embodiment of the present invention;
FIG. 3c is a partial enlarged view of the non-collected banknote region beyond the image collection region of the banknote to be detected in FIG. 3 b;
FIG. 4 is a schematic structural diagram of a banknote detecting device according to a fourth embodiment of the present invention;
fig. 5 is a schematic structural diagram of a banknote detection apparatus according to a fifth 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. 1a is a flowchart of a banknote detecting method according to an embodiment of the present invention, where the method may be performed by a banknote detecting apparatus, which may be implemented by software and/or hardware, and the apparatus may be integrated into any device with a banknote recognition function, such as a typical banknote validator, a typical banknote counter, and the like. The method specifically comprises the following steps:
s110, acquiring position information of corner points of the paper money to be detected.
Specifically, the original image data of the paper money to be detected, which is acquired by the image sensor, is acquired. The original image data comprises effective image data of the paper money acquired by the image sensor when the paper money to be detected passes through the image sensor and image data of a background when no paper money passes through the image sensor, so that the original image data is analyzed, the edge of the image data of the paper money to be detected is obtained according to the existing image edge determining method, such as an edge detecting method and a straight line fitting method, and the position information of four corner points of the paper money to be detected is determined according to the edge of the image data. Illustratively, the position information of four corner points of the bill to be detected is represented as (x)i,yi) Where i is 1,2,3,4, where i denotes the ith corner point, and xiPixel coordinate, y, of the ith corner point of the banknote to be inspected in the horizontal direction in the raw image dataiAnd (3) pixel coordinates of the ith corner point of the paper money to be detected in the vertical direction in the original image data.
And S120, judging whether the corner beyond the preset target area exists according to the position information of the corner.
The preset target area comprises an image acquisition area of the paper money to be detected, and the preset target area is larger than the image acquisition area. Illustratively, FIG. 1b shows a banknote to be detectedThe size of the image acquisition area 100 is determined by the performance of the image sensor, if the resolution of the image sensor is 1024 × 768, the size of the image acquisition area 100 is 1024 ×, when the banknote to be detected is in the image acquisition area 100, the image data information of the banknote to be detected can be obtained, when a partial area of the banknote to be detected exceeds the image acquisition area 100, the image data information of the banknote exceeding the image acquisition area 100 cannot be obtained, the size of the preset target area 200 is an empirical value, which is determined according to the currency of the banknote to be detected and the minimum distance between the effective characteristic information in the banknote to be detected and the edge of the banknote, the exemplary minimum distance between the effective characteristic information of the banknote to be detected and the vertical edge of the banknote is T1, the minimum distance from the horizontal edge is T2, the size of the effective characteristic information of the banknote to be detected is equal to the minimum distance of the vertical edge of the banknote, the minimum distance between the effective characteristic information of the banknote to be detected and the vertical edge of the banknote is T362, the vertical edge of the banknote to be equal to be detected, the vertical edge of the banknote, if the vertical edge of the banknote is equal to be equal to the vertical edge of the vertical collection area 100, the vertical coordinate is equal to the vertical axis of the vertical axis, the vertical axis of the vertical collection area 100, the vertical collection area is equal to the vertical axis, the vertical collection area 100, the vertical axis, the vertical distance T12, the vertical distance T1, the vertical distance of the vertical distance T12, the vertical distance of the vertical distance T12, the vertical distance of thei,yi) Whether the equation set is satisfied
Coordinates (x) of corner point of paper money to be detectedi,yi) All satisfy the equation set
If so, judging that no corner beyond the preset target area 200 exists; coordinates (x) of corner points when there is a banknote to be detectedi,yi) Does not satisfy-T1≤xi≤A+T1or-T2≤yi≤B+T2In any case, it is determined that there is a corner beyond the preset target area 200.
S130, when the corner points exceeding the preset target area do not exist, determining that the paper money to be detected is non-abnormal paper money.
Specifically, it is determined that there are no corner points beyond the preset target area including two situations: the first condition is that no angular point beyond the image acquisition area exists, namely, the paper money to be detected is in the image acquisition area, and the image sensor can obtain complete image data of the paper money to be detected, so that the subsequent true and false identification or defect detection of the detected paper money is not influenced; the second situation is that an angular point beyond the image acquisition area exists, but the angular point beyond the image acquisition area does not exceed a preset target area, that is, the part of the paper money to be detected, which is not in the image acquisition area, does not contain effective characteristic information, so that the authenticity identification of the paper money to be detected subsequently is not influenced, or when the defect detection of the paper money to be detected is carried out, the influence of the part of the paper money to be detected, which is not in the image acquisition area, on the defect detection of the paper money is not considered, that is, the part of the paper money not in the image acquisition area is not considered. Therefore, when the corner points exceeding the preset target area are judged not to exist, the paper money to be detected is determined to be the non-abnormal paper money.
In the detection method of the paper money provided by the embodiment, the position information of the angular point of the paper money to be detected is obtained; judging whether angular points exceeding a preset target area exist or not according to the position information of the angular points, wherein the preset target area comprises an image acquisition area of the paper money to be detected, and the preset target area is larger than the image acquisition area; when the angular point exceeding the preset target area does not exist in judgment, the paper money to be detected is determined to be the abnormal paper money, the situation that the normal paper money is not collected completely and is recognized as the abnormal paper money such as the defect of the paper money due to the inclination of the paper money and other reasons is effectively avoided, and the recognition rate of the paper money and the currency detection efficiency of financial self-service equipment such as an ATM are effectively improved.
Example two
Fig. 2 is a flowchart of a banknote detection method according to an embodiment of the present invention, where the embodiment optimizes, on the basis of the foregoing embodiment, whether there is an angular point exceeding a preset target area according to position information of the angular point, as follows: judging whether the angular points exceeding the image acquisition area exist or not according to the position information of the angular points; and when judging that the angular points beyond the image acquisition area exist, judging whether the angular points beyond a preset target area exist or not.
As shown in fig. 2, the method of the present embodiment includes the following steps:
s210, acquiring position information of corner points of the paper money to be detected.
And S220, judging whether the corner points exceeding the image acquisition area exist according to the position information of the corner points.
Specifically, the coordinates (x) of the corner point of the paper money to be detected are determinedi,yi) Whether the equation set is satisfied
Coordinates (x) of corner point of paper money to be detectedi,yi) All satisfy the equation set
Judging that no angular point beyond the image acquisition area exists; coordinates (x) of corner points when there is a banknote to be detectedi,yi) X is not more than 0iA or 02≤yiAnd if any condition is less than or equal to B, judging that the angular point beyond the image acquisition area exists.
And S230, when the angular point exceeding the image acquisition area is judged to exist, judging whether the angular point exceeding a preset target area exists.
Specifically, when it is judged that no angular point exceeding the image acquisition area exists, the paper money to be detected is directly determined to be non-abnormal paper money; when the angular point exceeding the image acquisition area is judged to exist, further judging whether the angular point exceeding the image acquisition area exceeds a preset value or notA target area. Exemplarily, when judging the corner point (x)1,y1) Beyond the image acquisition area and corner point (x)2,y2)、(x3,y3) And (x)4,y4) When the angular points (x) do not exceed the image acquisition area, further judging the angular points (x)1,y1) Whether or not to satisfy
And the other three corner points are not judged. When corner point (x)1,y1) Satisfy the requirement of
Then, the corner point (x) is determined1,y1) The paper money to be detected does not exceed the preset target area, namely, the paper money to be detected does not have angular points exceeding the preset target area; when corner point (x) of the paper money to be detected1,y1) Does not satisfy-T1≤x1≤A+T1or-T2≤y1≤B+T2In any condition, the corner point (x) is determined1,y1) And exceeding the preset target area, namely, the existence of corner points exceeding the preset target area in the paper money to be detected.
S240, when it is judged that no corner point exceeding a preset target area exists, determining that the paper money to be detected is non-abnormal paper money.
In the detection method of the paper money provided by the embodiment, the position information of the angular point of the paper money to be detected is obtained; judging whether the angular points exceeding the image acquisition area exist or not according to the position information of the angular points; when judging that the angular points exceeding the image acquisition area exist, judging whether the angular points exceeding a preset target area exist or not; when the angular point exceeding the preset target area does not exist, the paper money to be detected is determined to be the non-abnormal paper money, the efficiency of judging whether the paper money to be detected is the non-abnormal paper money is improved, the situation that the paper money to be detected is identified to be the abnormal paper money such as the defect of the paper money due to incomplete collection of the normal paper money caused by reasons such as inclination of the paper money is effectively avoided, and the identification rate of the paper money and the currency detection efficiency of financial self-service equipment such as an ATM are effectively improved.
EXAMPLE III
Fig. 3a is a flowchart of a banknote detection method according to an embodiment of the present invention, where on the basis of the foregoing embodiment, after determining that a banknote to be detected is a non-abnormal banknote when it is determined that there is no corner point exceeding a preset target area, the method includes the following additional steps: when the angular point exceeding the image acquisition area is judged to exist, acquiring an uncollected paper money area exceeding the image acquisition area in the paper money to be detected, wherein the uncollected paper money area comprises the angular point exceeding the image acquisition area; and judging that the non-collected paper money area is a non-defect area.
As shown in fig. 3a, the method of the present embodiment includes the following steps:
s310, position information of corner points of the paper money to be detected is obtained.
S320, judging whether the corner points exceeding the image acquisition area exist according to the position information of the corner points.
S330, when the angular point exceeding the image acquisition area is judged to exist, judging whether the angular point exceeding a preset target area exists.
S340, when the corner points exceeding the preset target area are judged not to exist, determining that the paper money to be detected is non-abnormal paper money.
And S350, when the angular point exceeding the image acquisition area is judged to exist, acquiring an uncollected banknote area exceeding the image acquisition area in the to-be-detected banknote, wherein the uncollected banknote area comprises the angular point exceeding the image acquisition area.
Specifically, there are two determination methods when determining whether there is an angular point beyond the preset target area. One is to directly judge the angular point coordinates (x) of the paper money to be detectedi,yi) Whether the equation set is satisfied
Directly determining whether angular points exceeding the preset target area exist according to the judgment condition, further judging whether angular points exceeding the image acquisition area exist when judging that the angular points exceeding the preset target area do not exist, and judging whether the angular points exceed the image acquisition area exist when judging that the angular points exceed the preset target areaWhen the corner points of the image acquisition area are exceeded, it is indicated that the corner points of the paper money to be detected, which exceed the image acquisition area and are still located in the preset target area, exist, that is, the non-acquired paper money area of the paper money to be detected, which exceeds the image acquisition area and is located in the preset target area, exists. One method is that whether the angular point beyond the image acquisition area exists in the paper money to be detected is determined according to the judgment condition, when the angular point beyond the image acquisition area exists, whether the angular point beyond the image acquisition area exceeds the preset target area is further judged, and when the angular point beyond the image acquisition area does not exceed the preset target area, the situation that the paper money to be detected has the paper money area which is beyond the image acquisition area and is not acquired in the preset target area is also shown.
And when determining that the non-collected paper money area which exceeds the image collection area and is located in a preset target area exists in the paper money to be detected, acquiring the non-collected paper money area. Preferably, acquiring a horizontal inclination angle and a vertical inclination angle of the paper money to be detected; and determining the non-collected paper money area according to the horizontal inclination angle, the vertical inclination angle and the position information of the corner points exceeding the image collection area. Specifically, the fact that the paper money to be detected exceeds the image acquisition area is caused by the inclination of the paper money, so that the horizontal inclination angle and the vertical inclination angle of the paper money to be detected are respectively determined according to the acquired edge of the image data of the paper money to be detected. Illustratively, a linear equation of the boundary of the paper money to be detected is determined based on a linear fitting method, and a horizontal inclination angle and a vertical inclination angle of the paper money to be detected are determined according to the boundary equation. The horizontal inclination angle is an included angle between the boundary of the long side direction of the paper money to be detected and a horizontal line, and the vertical inclination angle is an included angle between the boundary of the short side direction of the paper money to be detected and a vertical line. And calculating the side length of the non-collected paper money area according to the horizontal inclination angle and the vertical inclination angle. Illustratively, as shown in FIG. 3b, the corner point of the banknote 300 to be inspected beyond the image capture zone is (x)1,y1) And corner point (x)1,y1) Satisfy the system of equations
Paper to be detectedThe horizontal tilt angle of coin 300 is α and the vertical tilt angle is β, according to the formula
The side length of the non-collected banknote region can be calculated. FIG. 3c is an enlarged partial view of the non-image region of the note under inspection of FIG. 3b beyond the image capture region. As shown in fig. 3c, according to the side lengths w and h of the non-collected banknote region and the corner point (x) beyond the image collection region1,y1) The non-collected banknote region 400 may be determined.
And S360, judging that the non-collected paper money area is a non-defect area.
Specifically, when the defect detection of the paper money is performed, when the image data of a certain part of the paper money to be detected does not exist, the paper money to be detected is directly determined as the defect paper money, and the condition that the area of the non-collected paper money exists in the paper money to be detected when the paper money is inclined to exceed the image collection area is not considered, so that a large amount of normal paper money can be misjudged. Therefore, when it is determined that the non-collected banknote region exists, the non-collected banknote region is determined as a non-defective region, and the influence of the non-collected banknote region on the banknote defect detection is eliminated.
In the detection method of the paper money provided by the embodiment, the position information of the angular point of the paper money to be detected is obtained; judging whether the angular points exceeding the image acquisition area exist or not according to the position information of the angular points; when judging that the angular points exceeding the image acquisition area exist, judging whether the angular points exceeding a preset target area exist or not; when the angular point exceeding the preset target area is judged not to exist, determining that the paper money to be detected is non-abnormal paper money, and when the angular point exceeding the image acquisition area is judged to exist, acquiring the area of the paper money to be detected, which does not exceed the image acquisition area, in the paper money to be detected; the non-collected paper money area is judged to be a non-defective area, so that the situation that the normal paper money is not collected completely and is identified as the abnormal paper money such as the defective paper money due to the inclined paper money and other reasons is effectively avoided, the influence of the non-collected paper money area on the defective paper money detection is eliminated, and the recognition rate of the paper money and the currency detection efficiency of financial self-service equipment such as an ATM are effectively improved.
Example four
Fig. 4 is a schematic structural diagram of a banknote detection apparatus according to an embodiment of the present invention, where the apparatus includes: a position information obtaining module 410, configured to obtain position information of an angular point of the banknote to be detected; an angular point determining module 420, configured to determine whether an angular point exceeding a preset target area exists according to position information of the angular point, where the preset target area includes an image capture area of the banknote to be detected, and the preset target area is larger than the image capture area; the first non-abnormal banknote determining module 430 is configured to determine that the banknote to be detected is a non-abnormal banknote when it is determined that there is no corner point exceeding a preset target area.
Optionally, the corner point determining module 420 is configured to:
judging whether the angular points exceeding the image acquisition area exist or not according to the position information of the angular points;
and when judging that the angular points beyond the image acquisition area exist, judging whether the angular points beyond a preset target area exist or not.
Further, the method also comprises the following steps:
and the second non-abnormal paper money determining module is used for determining that the paper money to be detected is non-abnormal paper money when the condition that the angular point exceeding the image acquisition area does not exist is judged.
Further, the method also comprises the following steps:
the non-collected paper money region acquisition module is used for acquiring a non-collected paper money region exceeding the image collection region in the paper money to be detected when the angular point exceeding the image collection region is judged to exist after the paper money to be detected is determined to be non-abnormal paper money when the angular point exceeding the preset target region is judged not to exist, wherein the non-collected paper money region comprises the angular point exceeding the image collection region;
and the non-defect area judging module is used for judging that the non-collected paper money area is a non-defect area.
Optionally, the non-collected banknote region acquiring module is configured to:
acquiring a horizontal inclination angle and a vertical inclination angle of the paper money to be detected;
and determining the non-collected paper money area according to the horizontal inclination angle, the vertical inclination angle and the position information of the corner points exceeding the image collection area.
The detection device for the paper money provided by the embodiment obtains the position information of the angular point of the paper money to be detected; judging whether angular points exceeding a preset target area exist or not according to the position information of the angular points, wherein the preset target area comprises an image acquisition area of the paper money to be detected, and the preset target area is larger than the image acquisition area; when the angular point exceeding the preset target area does not exist in judgment, the paper money to be detected is determined to be the abnormal paper money, the situation that the normal paper money is not collected completely and is recognized as the abnormal paper money such as the defect of the paper money due to the inclination of the paper money and other reasons is effectively avoided, and the recognition rate of the paper money and the currency detection efficiency of financial self-service equipment such as an ATM are effectively improved.
EXAMPLE five
Fig. 5 is a schematic structural diagram of a banknote detecting apparatus according to a fifth embodiment of the present invention, and as shown in fig. 5, the apparatus includes a processor 50, a memory 51, an input device 52 and an output device 53; the number of processors in the device may be one or more, and one processor 50 is taken as an example in fig. 5; the processor 50, the memory 51, the input device 52 and the output device 53 in the apparatus may be connected by a bus or other means, which is exemplified in fig. 5.
The memory 51, which is a computer-readable storage medium, may be used to store software programs, computer-executable programs, and modules, such as modules corresponding to the detection method of banknotes in the embodiment of the present invention. The processor 50 executes various functional applications of the apparatus and data processing by executing software programs, instructions and modules stored in the memory 51, that is, realizes the above-described banknote detection method.
The memory 51 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 51 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory 51 may further include memory located remotely from the processor 50, which may be connected to the device/terminal/server via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 52 is operable to receive input numeric or character information and to generate key signal inputs relating to user settings and function controls of the apparatus. The output device 53 may include a display device such as a display screen.
The device and the equipment for detecting the paper money provided by the embodiment can execute the method for detecting the paper money provided by any embodiment of the invention, and have corresponding functional modules and beneficial effects for executing the method. For technical details that are not described in detail in the above embodiments, reference may be made to a banknote detection method according to 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 (11)
1. A method of detecting a banknote, comprising:
acquiring position information of an angular point of the paper money to be detected;
judging whether an angular point exceeding a preset target area exists according to the position information of the angular point, wherein the preset target area comprises an image acquisition area of the paper money to be detected, and the preset target area is larger than the image acquisition area;
and when the angular point exceeding the preset target area does not exist, determining the paper money to be detected as the non-abnormal paper money.
2. The method according to claim 1, wherein the determining whether there is a corner beyond a preset target area according to the position information of the corner comprises:
judging whether the angular points exceeding the image acquisition area exist or not according to the position information of the angular points;
and when judging that the angular points beyond the image acquisition area exist, judging whether the angular points beyond a preset target area exist or not.
3. The method of claim 2, further comprising:
and when the angular point exceeding the image acquisition area does not exist, determining that the paper money to be detected is non-abnormal paper money.
4. The method according to any one of claims 1 to 3, wherein after determining that the bill to be detected is a non-abnormal bill when it is judged that there is no corner point exceeding a preset target area, further comprising:
when the angular point exceeding the image acquisition area is judged to exist, acquiring an uncollected paper money area exceeding the image acquisition area in the paper money to be detected, wherein the uncollected paper money area comprises the angular point exceeding the image acquisition area;
and judging that the non-collected paper money area is a non-defect area.
5. The method according to claim 4, wherein the acquiring of the non-collected banknote area beyond the image collection area of the banknote to be detected comprises:
acquiring a horizontal inclination angle and a vertical inclination angle of the paper money to be detected;
and determining the non-collected paper money area according to the horizontal inclination angle, the vertical inclination angle and the position information of the corner points exceeding the image collection area.
6. A banknote testing device, comprising:
the position information acquisition module is used for acquiring the position information of the corner points of the paper money to be detected;
the angular point judging module is used for judging whether an angular point exceeding a preset target area exists according to the position information of the angular point, wherein the preset target area comprises an image acquisition area of the paper money to be detected, and the preset target area is larger than the image acquisition area;
and the first non-abnormal paper money determining module is used for determining the paper money to be detected as non-abnormal paper money when judging that no angular point exceeding a preset target area exists.
7. The apparatus of claim 6, wherein the corner point determining module is configured to:
judging whether the angular points exceeding the image acquisition area exist or not according to the position information of the angular points;
and when judging that the angular points beyond the image acquisition area exist, judging whether the angular points beyond a preset target area exist or not.
8. The apparatus of claim 7, further comprising:
and the second non-abnormal paper money determining module is used for determining that the paper money to be detected is non-abnormal paper money when the condition that the angular point exceeding the image acquisition area does not exist is judged.
9. The apparatus of any of claims 6-8, further comprising:
the non-collected paper money region acquisition module is used for acquiring a non-collected paper money region exceeding the image collection region in the paper money to be detected when the angular point exceeding the image collection region is judged to exist after the paper money to be detected is determined to be non-abnormal paper money when the angular point exceeding the preset target region is judged not to exist, wherein the non-collected paper money region comprises the angular point exceeding the image collection region;
and the non-defect area judging module is used for judging that the non-collected paper money area is a non-defect area.
10. The apparatus according to claim 9, wherein the non-collected banknote region acquisition module is configured to:
acquiring a horizontal inclination angle and a vertical inclination angle of the paper money to be detected;
and determining the non-collected paper money area according to the horizontal inclination angle, the vertical inclination angle and the position information of the corner points exceeding the image collection area.
11. An apparatus for detecting banknotes, characterized in that it comprises:
one or more processors;
a memory for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a method of detecting a note as claimed in any one of claims 1-5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710341148.5A CN108877028B (en) | 2017-05-15 | 2017-05-15 | Method, device and equipment for detecting paper money |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710341148.5A CN108877028B (en) | 2017-05-15 | 2017-05-15 | Method, device and equipment for detecting paper money |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108877028A CN108877028A (en) | 2018-11-23 |
| CN108877028B true CN108877028B (en) | 2020-08-18 |
Family
ID=64320339
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710341148.5A Active CN108877028B (en) | 2017-05-15 | 2017-05-15 | Method, device and equipment for detecting paper money |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108877028B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH01169590A (en) * | 1987-12-24 | 1989-07-04 | Fuji Electric Co Ltd | Paper money distinguishing device |
| CN102724397A (en) * | 2011-03-31 | 2012-10-10 | 汉王科技股份有限公司 | Name card automatic detection method and device thereof |
| CN105006062A (en) * | 2015-07-29 | 2015-10-28 | 深圳怡化电脑股份有限公司 | Bill identification method and deposit and withdrawal device |
| CN106469482A (en) * | 2016-09-05 | 2017-03-01 | 深圳怡化电脑股份有限公司 | Bank note crosses the border detection method, device and Banknote deposting/drawing out equipment |
| CN106504407A (en) * | 2016-11-01 | 2017-03-15 | 深圳怡化电脑股份有限公司 | A kind of method and device for processing banknote image |
-
2017
- 2017-05-15 CN CN201710341148.5A patent/CN108877028B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH01169590A (en) * | 1987-12-24 | 1989-07-04 | Fuji Electric Co Ltd | Paper money distinguishing device |
| CN102724397A (en) * | 2011-03-31 | 2012-10-10 | 汉王科技股份有限公司 | Name card automatic detection method and device thereof |
| CN105006062A (en) * | 2015-07-29 | 2015-10-28 | 深圳怡化电脑股份有限公司 | Bill identification method and deposit and withdrawal device |
| CN106469482A (en) * | 2016-09-05 | 2017-03-01 | 深圳怡化电脑股份有限公司 | Bank note crosses the border detection method, device and Banknote deposting/drawing out equipment |
| CN106504407A (en) * | 2016-11-01 | 2017-03-15 | 深圳怡化电脑股份有限公司 | A kind of method and device for processing banknote image |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108877028A (en) | 2018-11-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107610322B (en) | Banknote version identification method and device, electronic equipment and storage medium | |
| CN107103683B (en) | Paper money identification method and device, electronic equipment and storage medium | |
| CN103279735B (en) | Dust stratification detection method and system in a kind of financial document identification module | |
| CN107331031B (en) | A kind of recognition methods of note denomination, device, equipment and storage medium | |
| CN106952393B (en) | Paper money identification method and device, electronic equipment and storage medium | |
| CN107610316B (en) | Method and device for detecting defect of paper money and terminal equipment | |
| CN106920318B (en) | Method and device for identifying paper money | |
| CN107134047A (en) | White watermark detection method and device | |
| CN106683261B (en) | A kind of false distinguishing method and apparatus of bank note | |
| CN107705418B (en) | Paper currency facing identification method, device, equipment and readable storage medium | |
| CN107680246B (en) | Method and equipment for positioning curve boundary in paper money pattern | |
| CN106952395B (en) | Method and device for detecting inclination of paper money | |
| CN108877028B (en) | Method, device and equipment for detecting paper money | |
| CN106296975B (en) | method and device for identifying face value of dollar paper money | |
| CN107067540A (en) | The detection method and device that a kind of paper is re-opened | |
| CN109543554B (en) | Bill detection method, device, terminal and computer readable storage medium | |
| CN108492443B (en) | Method, device and equipment for detecting adhesive tape on paper money and storage medium | |
| CN108230534B (en) | Paper money identification method and device for ATM equipment, ATM equipment and storage medium | |
| CN107798770B (en) | Parameter adjusting method and device for image sensor, ATM and storage medium | |
| CN106898084B (en) | method and device for determining image processing threshold | |
| CN107767528B (en) | Paper money inspection method and device, ATM (automatic teller machine) and storage medium | |
| CN113379961B (en) | Method, device, equipment and storage medium for assisting identification of bank notes and tickets | |
| CN108665604B (en) | Method and device for detecting new and old grades of paper money | |
| CN108961530B (en) | Paper currency defect identification method and system | |
| CN111915792B (en) | Method and device for identifying zebra crossing image-text |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| 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 |