CN106447907A - Method and device for detecting banknote image abnormity - Google Patents
Method and device for detecting banknote image abnormity Download PDFInfo
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- CN106447907A CN106447907A CN201610828191.XA CN201610828191A CN106447907A CN 106447907 A CN106447907 A CN 106447907A CN 201610828191 A CN201610828191 A CN 201610828191A CN 106447907 A CN106447907 A CN 106447907A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/20—Testing patterns thereon
- G07D7/2008—Testing patterns thereon using pre-processing, e.g. de-blurring, averaging, normalisation or rotation
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/20—Testing patterns thereon
- G07D7/202—Testing patterns thereon using pattern matching
- G07D7/2041—Matching statistical distributions, e.g. of particle sizes orientations
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- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Inspection Of Paper Currency And Valuable Securities (AREA)
Abstract
An embodiment of the invention discloses a method and a device for detecting banknote image abnormity. The method comprises the steps of acquiring a banknote detecting image; acquiring a left boundary detecting sub-image and a right boundary detecting sub-image from the banknote detecting image; respectively calculating the height of the left boundary detecting sub-image and the height of the right boundary detecting sub-image; and performing height abnormity determination according to the height of the left boundary detecting sub-image and the height of the right boundary detecting sub-image, thereby identifying an abnormity detecting image of the banknote. The method and the device provided by the invention settle a problem that a true banknote is easily determined as a counterfeit on the condition that the banknote is conveyed obliquely or banknote slippage occurs in conveying. The method and the device realize positioning of abnormal data in banknote conveying and prevents banknote misjudgment caused by an abnormity in banknote conveying.
Description
Technical field
The present embodiments relate to currency examination technology, more particularly, to a kind of detection method of banknote image abnormity and device.
Background technology
When carrying out authenticity of banknotes discriminating using banknote device, the banknote that currency examination device can generate corresponding to each banknote detects number
According to.Currency examination device is passed through to identify whether described banknote detection data is normal, to judge the true and false of banknote.When described banknote detection data
When normal, its corresponding banknote is genuine notes；When described banknote detection data is abnormal, its corresponding banknote is counterfeit money.
However, in banknote currency examination it may appear that banknote digs the situation that paper money is walked tiltedly or dug paper money skidding.Walk when banknote occurs digging paper money
Tiltedly or when digging paper money and skidding, banknote detection data can be led to abnormal.And currency examination device can not differentiate the banknote detection number of which exception
Caused by for counterfeit money；The banknote detection data of which exception digs paper money caused by abnormal for banknote.So, will lead to some genuine notes because
Dig paper money and walk tiltedly or dig paper money to skid and be judged to counterfeit money by currency examination device, the situation of erroneous judgement occurs.
Content of the invention
The embodiment of the present invention provides a kind of detection method of banknote image abnormity and device, digs paper money abnormal data to position,
Avoid during currency examination because banknote digs the erroneous judgement that paper money leads to extremely.
In a first aspect, embodiments providing a kind of detection method of banknote image abnormity, including：
Obtain banknote detection image；
Left margin detection subimage and right margin detection subimage is obtained from described banknote detection image；
Calculate described left margin respectively and detect that the height of subimage and described right margin detect the height of subimage；
It is different that the height of the height according to described left margin detection subimage and described right margin detection subimage enters line height
Often judge, to identify the abnormality detection image of banknote.
Further, left margin detection subimage and right margin detection sub-picture pack are obtained from described banknote detection image
Include：
Choose to the right the image of default columns from the left margin of described banknote detection image, to detect subgraph as left margin
Picture；
Choose the image of default columns from the right margin of described banknote detection image to the left, to detect subgraph as right margin
Picture.
Further, left margin detection subimage and right margin detection subimage are being obtained from described banknote detection image
Before, also include：
Determine the coordinate figure of four angle points of described banknote detection image；
Coordinate figure according to the upper left corner and the lower left corner determines the left comer point coordinates value being located at the rightmost side, will be by described left comer
The border of point coordinates value is defined as the left margin of banknote；
Coordinate figure according to the upper right corner and the lower right corner determines the right corner point coordinates value being located at the leftmost side, will be by described right corner
The border of point coordinates value is defined as the right margin of banknote.
Further, calculate described left margin respectively and detect that the height of subimage and described right margin detect the height of subimage
Degree includes：
Described left margin detect subimage and described right margin detection subimage in, count respectively each row pixel it
With, and averaged, detect that the height of subimage and described right margin detect the height of subimage respectively as described left margin
Degree.
Further, detect that the height of subimage and described right margin detect that the height of subimage enters according to described left margin
Line height judges extremely, to identify the abnormality detection image of banknote, including：
Respectively described left margin is detected the height of subimage and height that described right margin detects in subimage with normal
Height threshold scope is compared；
If any one in described left margin detection subimage and described right margin detection subimage is just highly more than
Often height threshold is it is determined that the detection image of described banknote is abnormal.
Further, detect that the height of subimage and described right margin detect that the height of subimage enters according to described left margin
Line height judges extremely, to identify the abnormality detection image of banknote, including：
Calculate described left margin and detect that subimage and described right margin detect the difference in height of subimage；
Described difference in height is compared with preset height difference limen value；
If described difference in height is more than preset height difference limen value it is determined that the detection image of described banknote is abnormal.
Second aspect, the embodiment of the present invention additionally provides a kind of detection means of banknote image abnormity, this detection means bag
Include：
First acquisition module, for obtaining banknote detection image；
Second acquisition module, for obtaining left margin detection subimage and right margin detection from described banknote detection image
Subimage；
Computing module, detects height and the described right margin detection subimage of subimage for calculating described left margin respectively
Height；
Judge module, the height and described right margin for detecting subimage according to described left margin detects the height of subimage
Degree carries out Height Anomalies judgement, to identify the abnormality detection image of banknote.
Further, described second acquisition module includes：
First selection unit, chooses to the right the image of default columns for the left margin from described banknote detection image, with
Detect subimage as left margin；
Second selection unit, chooses the image of default columns to the left for the right margin from described banknote detection image, with
Detect subimage as right margin.
Further, described detection means also includes：
Coordinate figure determining module, for determining the coordinate figure of four angle points of described banknote detection image；
Left margin determining module, determines that for the coordinate figure according to the upper left corner and the lower left corner left comer point being located at the rightmost side is sat
Scale value, will be defined as the left margin of banknote by the border of described left comer point coordinates value；
Right margin determining module, determines that for the coordinate figure according to the upper right corner and the lower right corner right corner point being located at the leftmost side is sat
Scale value, will be defined as the right margin of banknote by the border of described right corner point coordinates value.
Further, described computing module includes：
Pixels statisticses unit, for detecting in subimage and described right margin detection subimage in described left margin, respectively
Count each row pixel sum, and averaged, detect the height of subimage and described the right respectively as described left margin
The height of subimage is detected on boundary.
Further, described judge module includes：
First comparing unit, for detecting height and the described right margin detection subgraph of subimage respectively by described left margin
Height in picture is compared with normal level threshold range；
First abnormal image determining unit, if detect subimage and described right margin detection subgraph for described left margin
Any one in picture is highly more than normal level threshold value it is determined that the detection image of described banknote is abnormal.
Further, described judge module includes：
For calculating described left margin, difference in height computing unit, detects that subimage and described right margin detect the height of subimage
Degree is poor；
Second comparing unit, for being compared described difference in height with preset height difference limen value；
Second abnormal image determining unit, if be more than preset height difference limen value it is determined that described for described difference in height
The detection image of banknote is abnormal.
The embodiment of the present invention digs paper money extremely by considering that the height of banknote detection image right boundary identifies, solves
Banknote digs paper money when walking tiltedly or digging paper money and skid, and genuine notes are easily mistaken for the problem of counterfeit money it is achieved that positioning digs paper money exception number by currency examination device
According to, it is to avoid because banknote digs the effect that paper money leads to currency examination erroneous judgement extremely.
Brief description
Fig. 1 is the flow chart of one of the embodiment of the present invention one detection method of banknote image abnormity；
Fig. 2 is the flow chart of the detection method of one of embodiment of the present invention two banknote image abnormity；
Fig. 3 is the structure chart of the detection means of one of embodiment of the present invention three banknote image abnormity.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the present invention, rather than limitation of the invention.It also should be noted that, in order to just
Part related to the present invention rather than entire infrastructure is illustrate only in description, accompanying drawing.
Embodiment one
A kind of flow chart of the detection method of banknote image abnormity that Fig. 1 provides for the embodiment of the present invention one, the present embodiment
It is applicable to need the situation that banknote image abnormity is detected, the method can be come by the detection means of banknote image abnormity
Execution, wherein this detection means can be realized by software and/or hardware, and this detection means can be integrated in currency examination device.With reference to figure
1, a kind of detection method of banknote image abnormity that the present embodiment provides specifically may include steps of：
S110, acquisition banknote detection image.
Obtain detection total figure using the sensor being arranged on currency examination device cash dispensing port, described detection total figure includes banknote detection figure
Picture and background image.According to the difference of described banknote detection image and described background image gray value, obtain banknote detection image.
Specifically, in described detection total figure, gray value is more than 20 image-region it may be determined that being the region of described banknote detection image,
Thus described banknote detection image just can be obtained.
S120, from described banknote detection image obtain left margin detection subimage and right margin detection subimage.
Specifically, described banknote detection image is by multiple row image construction.Optionally, obtain from described banknote detection image
Left margin detection subimage and right margin detection subimage include：Choose to the right default from the left margin of described banknote detection image
The image of columns, to detect subimage as left margin；Choose default columns from the right margin of described banknote detection image to the left
Image, using as right margin detect subimage.Influence of noise is there may be, described noise can affect banknote inspection during due to currency examination
The high computational of altimetric image.In order to avoid the impact to detection image height for the currency examination noise is it is preferred that detect figure from described banknote
Obtain left margin detection subimage in picture and right margin detection subimage includes：From the left margin of described banknote detection image to the right
Choose the image of 20 row, to detect subimage as left margin；Choose 20 row from the right margin of described banknote detection image to the left
Image, using as right margin detect subimage.
S130, calculate described left margin respectively and detect that the height of subimage and described right margin detect the height of subimage.
Specifically, described left margin detects that the height of subimage and described right margin detect that the height of subimage can be by system
The mode of meter image slices vegetarian refreshments obtains, that is, by how many height to weigh image of statistical picture pixel.Optionally, described
Calculate described left margin respectively and detect that the height of subimage and described right margin detect that the height of subimage includes：On the described left side
In boundary's detection subimage and described right margin detection subimage, count each row pixel sum respectively, and averaged, respectively
Detect that the height of subimage and described right margin detect the height of subimage as described left margin.For example, if described left margin
Detection subimage by 20 row image constructions, then, in described left margin detection subimage, counts the picture of each column of its 20 row image
Vegetarian refreshments sum, and averaged, to detect the height of subimage as described left margin.If described right margin detects subimage
By 20 row image constructions, then, in described right margin detection subimage, count the pixel sum of each column of its 20 row image, and
Averaged, to detect the height of subimage as described right margin.
The height of S140, the height detecting subimage according to described left margin and described right margin detection subimage carries out height
Degree is abnormal to be judged, to identify the abnormality detection image of banknote.
Specifically, in order to identify the abnormality detection image of banknote, dig paper money abnormal data to position.Described according to the described left side
Boundary detects that the height of subimage and described right margin detect that the height of subimage carries out Height Anomalies judgement, to identify the different of banknote
Often detection image, can include：Respectively described left margin is detected in the height and described right margin detection subimage of subimage
Height be compared with normal level threshold range；If described left margin detection subimage and described right margin detection subgraph
Any one in picture is highly more than normal level threshold value it is determined that the detection image of described banknote is abnormal.With 100 yuans
As a example, the height of described banknote detection image is about 305 pixels, then described normal level threshold value is 305 pixels.Respectively by institute
State left margin and detect that the height of subimage and described right margin detect that the height in subimage is entered with normal level threshold value 305 pixel
Row compares；If any one in described left margin detection subimage and described right margin detection subimage is highly more than normal
Height threshold 305 pixel is it is determined that the detection image of described banknote is abnormal.Further, this abnormal banknote detection image institute
Corresponding banknote detection data as digs paper money abnormal data.
The described height according to described left margin detection subimage and described right margin detect that the height of subimage carries out height
Degree is abnormal to be judged, to identify the abnormality detection image of banknote, can also include：Calculate described left margin detection subimage and described
Right margin detects the difference in height of subimage；Described difference in height is compared with preset height difference limen value；If described difference in height
More than preset height difference limen value it is determined that the detection image of described banknote is abnormal.For example, described difference in height threshold value is predeterminable is 5
Individual pixel, calculates described left margin and detects that subimage and described right margin detect the difference in height of subimage；By described difference in height with
5 pixels of preset height difference limen value are compared；If described difference in height is more than 5 pixels it is determined that the detection of described banknote
Image abnormity.Further, this abnormal banknote detection data corresponding to banknote detection image as digs paper money abnormal data.
The technical scheme of the present embodiment, the height characteristic using right boundary in banknote detection image judges exception, solution
Banknote of having determined digs paper money when walking tiltedly or digging paper money and skid, genuine notes easily by currency examination device be mistaken for counterfeit money problem it is achieved that positioning to dig paper money different
Regular data, it is to avoid because banknote digs the effect that paper money leads to currency examination erroneous judgement extremely.
Embodiment two
Fig. 2 is the flow chart of the detection method of one of embodiment of the present invention two banknote image abnormity, and the present embodiment exists
The coordinate figure that increased four angle points using banknote detection image on the basis of above-described embodiment one determines left margin and the right
The optional technical scheme on boundary.The detection method of the banknote image abnormity providing with reference to Fig. 2, the present embodiment specifically can include as follows
Step：
S210, acquisition banknote detection image.
S220, determine described banknote detection image four angle points coordinate figure.
Specifically, four angle points of described banknote detection image include upper left angle point, lower-left angle point, upper right angle point and bottom right
Angle point.In order to improve the treatment effeciency of view data, the coordinate figure of described upper left angle point is preferably defined as (0,0).
S230, the left comer point coordinates value being located at the rightmost side is determined according to the coordinate figure in the upper left corner and the lower left corner, will be by institute
The border stating left comer point coordinates value is defined as the left margin of banknote.
Specifically, taking 100 yuans as a example, if the coordinate figure of described lower-left angle point is (0,0), the coordinate of upper left angle point
It is worth for (3,77), then the described left comer point coordinates value positioned at the rightmost side is (3,77), therefore, by the left comer by the described rightmost side
The border (x=3) of point coordinates value is defined as the left margin of banknote.
S240, the right corner point coordinates value being located at the leftmost side is determined according to the coordinate figure in the upper right corner and the lower right corner, will be by institute
The border stating right corner point coordinates value is defined as the right margin of banknote.
Specifically, taking 100 yuans as a example, if the coordinate figure of described bottom right angle point is (155,0), the seat of upper right angle point
Scale value is (158,77), then the described right corner point coordinates value positioned at the leftmost side is (155,0), therefore, will be by the described leftmost side
The border (x=155) of right corner point coordinates value be defined as the right margin of banknote.
S250, from described banknote detection image obtain left margin detection subimage and right margin detection subimage.
S260, calculate described left margin respectively and detect that the height of subimage and described right margin detect the height of subimage.
The height of S270, the height detecting subimage according to described left margin and described right margin detection subimage carries out height
Degree is abnormal to be judged, to identify the abnormality detection image of banknote.
The technical scheme of the present embodiment, in two angle points of image homonymy, selects to make near the angle point inside banknote
For determining the foundation on border, solve to include background pixel in banknote due to being inclined such that the row corresponding to outermost angle point
Point, and then make the inaccurate problem of high computational.The image starting to extract from the border that inner side angle point determines is substantially equal
For effective pixel.
Embodiment three
Fig. 3 is the structure chart of the detection means of one of embodiment of the present invention three banknote image abnormity, and the present embodiment can
It is applicable to the situation that banknote image abnormity is detected.A kind of banknote image abnormity providing with reference to Fig. 3, the present embodiment
The structure of detection means specifically can be as follows：
First acquisition module 310, for obtaining banknote detection image；
Second acquisition module 320, for obtaining left margin detection subimage and right margin from described banknote detection image
Detection subimage；
Computing module 330, detects height and described right margin detection of subimage for calculating described left margin respectively
The height of image；
Judge module 340, for detecting height and the described right margin detection subimage of subimage according to described left margin
Height carry out Height Anomalies judgement, to identify the abnormality detection image of banknote.
Optionally, described second acquisition module includes：
First selection unit, chooses to the right the image of default columns for the left margin from described banknote detection image, with
Detect subimage as left margin；
Second selection unit, chooses the image of default columns to the left for the right margin from described banknote detection image, with
Detect subimage as right margin.
Optionally, described detection means also includes：
Coordinate figure determining module, for determining the coordinate figure of four angle points of described banknote detection image；
Left margin determining module, determines that for the coordinate figure according to the upper left corner and the lower left corner left comer point being located at the rightmost side is sat
Scale value, will be defined as the left margin of banknote by the border of described left comer point coordinates value；
Right margin determining module, determines that for the coordinate figure according to the upper right corner and the lower right corner right corner point being located at the leftmost side is sat
Scale value, will be defined as the right margin of banknote by the border of described right corner point coordinates value.
Optionally, described computing module includes：
Pixels statisticses unit, for detecting in subimage and described right margin detection subimage in described left margin, respectively
Count each row pixel sum, and averaged, detect the height of subimage and described the right respectively as described left margin
The height of subimage is detected on boundary.
Optionally, described judge module includes：
First comparing unit, for detecting height and the described right margin detection subgraph of subimage respectively by described left margin
Height in picture is compared with normal level threshold range；
First abnormal image determining unit, if detect subimage and described right margin detection subgraph for described left margin
Any one in picture is highly more than normal level threshold value it is determined that the detection image of described banknote is abnormal.
Optionally, described judge module includes：
For calculating described left margin, difference in height computing unit, detects that subimage and described right margin detect the height of subimage
Degree is poor；
Second comparing unit, for being compared described difference in height with preset height difference limen value；
Second abnormal image determining unit, if be more than preset height difference limen value it is determined that described for described difference in height
The detection image of banknote is abnormal.
The detection means of the banknote image abnormity that the present embodiment provides, the banknote figure being provided with any embodiment of the present invention
As abnormal detection method belongs to same inventive concept, the banknote image abnormity that executable any embodiment of the present invention is provided
Detection method, possesses the corresponding functional module of detection method and the beneficial effect of execution banknote image abnormity.Not in the present embodiment
In detailed description ins and outs, can be found in the detection method of the banknote image abnormity that any embodiment of the present invention provides.
Note, above are only presently preferred embodiments of the present invention and institute's application technology principle.It will be appreciated by those skilled in the art that
The invention is not restricted to specific embodiment described here, can carry out for a person skilled in the art various obvious changes,
Readjust and substitute without departing from protection scope of the present invention.Therefore although being carried out to the present invention by above example
It is described in further detail, but the present invention is not limited only to above example, without departing from the inventive concept, also
Other Equivalent embodiments more can be included, and the scope of the present invention is determined by scope of the appended claims.
Claims (12)
1. a kind of detection method of banknote image abnormity is it is characterised in that include：
Obtain banknote detection image；
Left margin detection subimage and right margin detection subimage is obtained from described banknote detection image；
Calculate described left margin respectively and detect that the height of subimage and described right margin detect the height of subimage；
Detect that the height of subimage and described right margin detect that the height of subimage carries out Height Anomalies and sentences according to described left margin
Disconnected, to identify the abnormality detection image of banknote.
2. method according to claim 1 is it is characterised in that obtain left margin detection from described banknote detection image
Image and right margin detection subimage include：
Choose to the right the image of default columns from the left margin of described banknote detection image, to detect subimage as left margin；
Choose the image of default columns from the right margin of described banknote detection image to the left, to detect subimage as right margin.
3. method according to claim 2 is it is characterised in that obtaining left margin detection from described banknote detection image
Before subimage and right margin detection subimage, also include：
Determine the coordinate figure of four angle points of described banknote detection image；
Coordinate figure according to the upper left corner and the lower left corner determines the left comer point coordinates value being located at the rightmost side, will be sat by described left comer point
The border of scale value is defined as the left margin of banknote；
Coordinate figure according to the upper right corner and the lower right corner determines the right corner point coordinates value being located at the leftmost side, will be sat by described right corner point
The border of scale value is defined as the right margin of banknote.
4. method according to claim 2 it is characterised in that calculate respectively described left margin detect subimage height and
Described right margin detects that the height of subimage includes：
Detect in subimage and described right margin detection subimage in described left margin, count each row pixel sum respectively, and
Respectively as described left margin, averaged, detects that the height of subimage and described right margin detect the height of subimage.
5. method according to claim 1 is it is characterised in that detect the height of subimage and described according to described left margin
Right margin detects that the height of subimage carries out Height Anomalies judgement, to identify the abnormality detection image of banknote, including：
Respectively described left margin is detected that the height of subimage and described right margin detect height and normal level in subimage
Threshold range is compared；
If any one in described left margin detection subimage and described right margin detection subimage is highly more than normally high
Degree threshold value is it is determined that the detection image of described banknote is abnormal.
6. method according to claim 1 is it is characterised in that detect the height of subimage and described according to described left margin
Right margin detects that the height of subimage carries out Height Anomalies judgement, to identify the abnormality detection image of banknote, including：
Calculate described left margin and detect that subimage and described right margin detect the difference in height of subimage；
Described difference in height is compared with preset height difference limen value；
If described difference in height is more than preset height difference limen value it is determined that the detection image of described banknote is abnormal.
7. a kind of detection means of banknote image abnormity is it is characterised in that include：
First acquisition module, for obtaining banknote detection image；
Second acquisition module, for obtaining left margin detection subimage and right margin detection subgraph from described banknote detection image
Picture；
For calculating described left margin respectively, computing module, detects that the height of subimage and described right margin detect the height of subimage
Degree；
Judge module, height and described right margin for detecting subimage according to described left margin detect that the height of subimage enters
Line height judges extremely, to identify the abnormality detection image of banknote.
8. device according to claim 7 is it is characterised in that described second acquisition module includes：
First selection unit, choose to the right the image of default columns for the left margin from described banknote detection image, using as
Left margin detects subimage；
Second selection unit, choose the image of default columns to the left for the right margin from described banknote detection image, using as
Right margin detects subimage.
9. device according to claim 8 is it is characterised in that also include：
Coordinate figure determining module, for determining the coordinate figure of four angle points of described banknote detection image；
Left margin determining module, determines the left comer point coordinates being located at the rightmost side for the coordinate figure according to the upper left corner and the lower left corner
Value, will be defined as the left margin of banknote by the border of described left comer point coordinates value；
Right margin determining module, determines the right corner point coordinates being located at the leftmost side for the coordinate figure according to the upper right corner and the lower right corner
Value, will be defined as the right margin of banknote by the border of described right corner point coordinates value.
10. device according to claim 8 is it is characterised in that described computing module includes：
Pixels statisticses unit, for detecting in subimage and described right margin detection subimage in described left margin, counts respectively
Each row pixel sum, and averaged, detect height and the inspection of described right margin of subimage respectively as described left margin
Survey the height of subimage.
11. devices according to claim 7 are it is characterised in that described judge module includes：
By described left margin, first comparing unit, for detecting that the height of subimage and described right margin detect in subimage respectively
Height be compared with normal level threshold range；
First abnormal image determining unit, if detected in subimage and described right margin detection subimage for described left margin
Any one be highly more than normal level threshold value it is determined that the detection image of described banknote is abnormal.
12. devices according to claim 7 are it is characterised in that described judge module includes：
For calculating described left margin, difference in height computing unit, detects that subimage and described right margin detect the height of subimage
Difference；
Second comparing unit, for being compared described difference in height with preset height difference limen value；
Second abnormal image determining unit, if be more than preset height difference limen value it is determined that described banknote for described difference in height
Detection image abnormal.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106683259A (en) * | 2017-03-06 | 2017-05-17 | 深圳怡化电脑股份有限公司 | Method and device for identifying paper money |
| CN107590902A (en) * | 2017-08-07 | 2018-01-16 | 中南大学 | The recovery and recognition methods of clamping stagnation during a kind of bank note transmission |
| CN110428414A (en) * | 2019-08-02 | 2019-11-08 | 杭州睿琪软件有限公司 | The method and device of bill quantity in a kind of identification image |
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| CN107590902A (en) * | 2017-08-07 | 2018-01-16 | 中南大学 | The recovery and recognition methods of clamping stagnation during a kind of bank note transmission |
| CN110428414A (en) * | 2019-08-02 | 2019-11-08 | 杭州睿琪软件有限公司 | The method and device of bill quantity in a kind of identification image |
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