CN107293038B - A kind of banknote image capturing system and its calibration method based on iterative algorithm - Google Patents
A kind of banknote image capturing system and its calibration method based on iterative algorithm Download PDFInfo
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- CN107293038B CN107293038B CN201710440410.1A CN201710440410A CN107293038B CN 107293038 B CN107293038 B CN 107293038B CN 201710440410 A CN201710440410 A CN 201710440410A CN 107293038 B CN107293038 B CN 107293038B
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- 239000000523 sample Substances 0.000 claims description 15
- 238000002310 reflectometry Methods 0.000 claims description 3
- 230000003287 optical effect Effects 0.000 claims description 2
- 238000003384 imaging method Methods 0.000 description 4
- 238000005286 illumination Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
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Classifications
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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
- G07D7/06—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 using wave or particle radiation
- G07D7/12—Visible light, infrared or ultraviolet radiation
- G07D7/121—Apparatus characterised by sensor details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/141—Control of illumination
-
- 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
Abstract
A kind of banknote image capturing system and its calibration method based on iterative algorithm is opened, the banknote image capturing system includes the upper CIS sensor and upper photosensitive element on the upside of banknote, lower CIS sensor and lower photosensitive element on the downside of banknote, the upper photosensitive element receives the light that LED emits in the lower CIS sensor, the lower photosensitive element receives the light that LED emits in the upper CIS sensor, the upper CIS sensor is located in the same vertical plane with the lower CIS sensor, the time for exposure of upper CIS sensor and lower CIS sensor is calculated by iterative algorithm for the banknote image capturing system, it how upper to being placed in same perpendicular effectively solves, lower CIS sensor is exposed the time the problem of being calibrated, so that the upper CIS sensor with The lower CIS sensor can be set in same perpendicular, to realize the miniaturization of cleaning-sorting machine.
Description
Technical field
The invention belongs to image capturing system technical field, specifically a kind of banknote Image Acquisition system based on iterative algorithm
System and its calibration method.
Background technique
The main function of banknote cleaning-sorting machine is to carry out clearing up sorting and grouping work, and energy to the other RMB banknote of different versions
It realizes the counting of RMB banknote, count, identify true and false etc..At present cleaning-sorting machine used in each business bank, China mainly with into
Based on mouth product, there are many purposes for banknote cleaning-sorting machine, including meet applied code, cash additional issue, ATM processing, anti-vacation
And the needs of new business mode.
Banknote cleaning-sorting machine key modules are high-speed image acquisition system, and core generallys use CIS contact type image sensing
Device.
CIS contact-type image sensor be it is a kind of using LED as light source, the photosensitive element that line array type is arranged is (photosensitive
Sensor) carry out photosensitive imaging sensor.Red, green, blue three-color LED (light emitting diode) inside CIS touch sensor
It is tightly arranged together with sensor, timesharing shines.Photosensitive element acquires reflection of the banknote surface to illumination under different color light
Information finally synthesizes the color image of banknote surface according to the image information under feux rouges, green light, blue light.Use CIS contact
It when imaging sensor, needs to calibrate the time for exposure of sensor, so that its work is linear, non-saturated region, guarantees image
Quality.Common calibration method is to carry out image scanning using pure white calibration banknote, and adjust the opening time of LED, make to adopt
The brightness value for collecting image is a preset standard value (it is typically slightly less than saturation value).
The upper and lower surfaces to banknote are needed in banknote cleaning-sorting machine while acquiring image, however existing banknote cleaning-sorting machine is
The light for avoiding upper and lower CIS sensor from issuing interferes with each other, and upper and lower CIS sensor is all generally fixed on different vertical put down
It in face, mutually staggers, results in entire module volume in this way and increase, be unfavorable for the miniaturization of entire cleaning-sorting machine.
Summary of the invention
The present invention is in view of the shortcomings of the prior art, provide a kind of banknote image capturing system based on iterative algorithm and its calibration
Method, this method can effectively solve how to the upper and lower CIS sensor placed in same perpendicular be exposed the time into
The problem of row calibration, so that the upper CIS sensor and the lower CIS sensor can be set to same perpendicular
It is interior, to realize the miniaturization of cleaning-sorting machine.
In order to solve the above-mentioned technical problem, the present invention is addressed by following technical proposals: one kind being based on iterative algorithm
Banknote image capturing system be set on the downside of the banknote including the upper CIS sensor and upper photosensitive element being set on the upside of banknote
Lower CIS sensor and lower photosensitive element, the upper photosensitive element receives the light that LED emits in the lower CIS sensor, under described
Photosensitive element receives the light that LED emits in the upper CIS sensor, and the upper CIS sensor is located at the lower CIS sensor
In same perpendicular.
A kind of calibration method of the banknote image capturing system based on iterative algorithm, comprising the following steps: 1, setting described in
The time for exposure U of upper CIS sensor, the time for exposure D of the lower CIS sensor, the upper photosensitive element probe value x and
The expression formula 1 of the probe value y of the lower photosensitive element indicates are as follows:, wherein a and d is respectively pure white calibration
The reflectivity on two surfaces above and below banknote, c and b are respectively the transmissivity on two surfaces of pure white calibration banknote or more；2, institute is set
The time for exposure for stating CIS sensor is an arbitrary value U=U1；The time for exposure that the lower CIS sensor is arranged is D=D1=0, and
Image scanning is carried out to calibration banknote afterwards, the upper photosensitive element of acquisition and the probe value of the lower photosensitive element are denoted as
x1And y1, at this moment, expression formula 1 indicates are as follows:；3, the exposure of the lower CIS sensor is set
It is an arbitrary value D=D between light time2；The time for exposure that the upper CIS sensor is arranged is 0, it may be assumed that U=U2=0, then to calibration banknote
The probe value of progress image scanning, the upper photosensitive element of acquisition and lower photosensitive element is denoted as x2And y2, at this moment, 1 table of expression formula
It is shown as:, acquire a, b, c, the value of tetra- coefficients of d；4, final calibration target is taken
For xcAnd ycAnd a, b, c, d substitute into expression formula 1 and obtain, and acquire,；5, the time for exposure that the upper CIS sensor is arranged is U3, when the exposure of the lower CIS sensor is set
Between be D3, image scanning then is carried out to calibration banknote, the probe value of the upper photosensitive element of acquisition and lower photosensitive element is marked respectively
For x3And y3, at this moment, expression formula 1 indicates are as follows:If x3=xc, y3=ycIt sets up, when storing newest exposure
Between value U3And D3, algorithm is terminated and is exited to this, if x3=xc, y3=ycIt is invalid, combine newest two scanning results and counts again
A, b, c are calculated and update, the value of tetra- coefficients of d repeats step 4 to step 5.
Allowable error K is preset in above-mentioned technical proposal, in step 5, if | x3-xc | < K, | y3-yc | < K, then be considered as x3=
Xc, y3=yc are set up.
In above-mentioned technical proposal, if x in step 53=xc, y3=ycIt is invalid, combine newest two scanning results and counts again
A, b, c are calculated and update, the value of tetra- coefficients of d repeats step 4 to step 5 and records the number of iterations n, presets in step 5
There is maximum number of iterations N, n > N is judged, the newest exposure time values U of record storage if setting up3And D3, algorithm terminates；
N=n+1 is set if invalid and repeats step 4 and step 5.
Compared with prior art, the present invention having the following beneficial effects: the present invention in the item for not needing a large amount of calibration samples
Under part, it is capable of the light emitting device intensity and imaging sensor of Rapid matching optical system, and is able to solve while acquiring image
Light cross-interference issue between imaging system, so that providing enough systems to significantly reduce the volume of optical imaging system
System design space.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of the embodiment of the present invention.
Specific embodiment
Present invention is further described in detail with specific embodiment with reference to the accompanying drawing: referring to Fig. 1, one kind is based on repeatedly
For the banknote image capturing system of algorithm, upper CIS sensor 2 and upper photosensitive element 3 including being set to 1 upside of banknote are set to institute
It states lower CIS sensor 4 and lower photosensitive element 5, the upper photosensitive element 3 on the downside of banknote 1 and receives LED in the lower CIS sensor 4
The light of transmitting, the lower photosensitive element 5 receive the light that LED in the upper CIS sensor 2 emits, the upper CIS sensor 2 with
The lower CIS sensor 4 is located in the same vertical plane, and can effectively reduce module volume in this way.Since banknote is for illumination
There is certain transmitance, upper CIS sensor, the lower CIS sensor of the structure can interfere with each other, while this structure is to CIS
It is more difficult that sensor is exposed time calibration.
Applicant has invented a kind of calibration method of banknote image capturing system based on iterative algorithm by studying for a long period of time,
The following steps are included: the time for exposure D of 1, the time for exposure U of the setting upper CIS sensor, the lower CIS sensor, described
The expression formula 1 of the probe value y of the probe value x of upper photosensitive element and the lower photosensitive element indicates are as follows:,
Wherein a and d is respectively the reflectivity on two surfaces of pure white calibration banknote or more, and c and b are respectively pure white calibration banknote two up and down
The transmissivity on surface；2, the time for exposure that the upper CIS sensor is arranged is an arbitrary value U=U1；The lower CIS sensing is set
The time for exposure of device is D=D1=0, then to calibration banknote carry out image scanning, the upper photosensitive element of acquisition and it is described under
The probe value of photosensitive element is denoted as x1And y1, at this moment, expression formula 1 indicates are as follows:；3,
The time for exposure that the lower CIS sensor is arranged is an arbitrary value D=D2；The time for exposure that the upper CIS sensor is arranged is 0,
That is: U=U2=0, image scanning, the probe value difference of the upper photosensitive element of acquisition and lower photosensitive element then are carried out to calibration banknote
It is designated as x2And y2, at this moment, expression formula 1 indicates are as follows:, acquire a, b, c, tetra- coefficients of d
Value；4, taking final calibration target is xcAnd ycAnd a, b, c, d substitute into expression formula 1 and obtain, and ask
?,；5, the time for exposure that the upper CIS sensor is arranged is U3, under setting is described
The time for exposure of CIS sensor is D3, image scanning, the upper photosensitive element of acquisition photosensitive member under then are carried out to calibration banknote
The probe value of part is denoted as x3And y3, at this moment, expression formula 1 indicates are as follows:If x3=xc, y3=ycAt
It is vertical, store newest exposure time values U3And D3, algorithm is terminated and is exited to this, if x3=xc, y3=ycIt is invalid, joint newest two
A scanning result recalculates and updates a, b, c, and the value of tetra- coefficients of d repeats step 4 to step 5.
Allowable error K is preset in step 5, if | x3-xc | < K, | y3-yc | < K is then considered as x3=xc, y3=ycIt sets up.
If x in step 53=xc, y3=ycIt is invalid, combine newest two scanning results and recalculates and update a, b,
The value of tetra- coefficients of c, d repeats step 4 to step 5 and records the number of iterations n, is preset with maximum number of iterations in step 5
N judges n > N, the newest exposure time values U of record storage if setting up3And D3, algorithm terminates；N is set if invalid
=n+1 repeats step 4 and step 5.
Claims (3)
1. a kind of calibration method of the banknote image capturing system based on iterative algorithm, it is characterised in that: including using this method
Banknote image capturing system, the banknote image capturing system include upper CIS sensor (2) on the upside of banknote (1) and
Upper photosensitive element (3) is set on the downside of the banknote (1) lower CIS sensor (4) and lower photosensitive element (5), the upper photosensitive element
(3) light of LED transmitting in the lower CIS sensor (4) is received, the lower photosensitive element (5) receives the upper CIS sensor
(2) light that LED emits in, the upper CIS sensor (2) are located in the same vertical plane with the lower CIS sensor (4), should
Method the following steps are included: 1, the time for exposure U of the setting upper CIS sensor, the lower CIS sensor time for exposure D,
The expression formula 1 of the probe value y of the probe value x of the upper photosensitive element and the lower photosensitive element indicates are as follows:, wherein a and d is respectively the reflectivity on two surfaces of pure white calibration banknote or more, and c and b are respectively pure white school
The transmissivity on two surfaces above and below quasi- banknote；2, the time for exposure that the upper CIS sensor is arranged is an arbitrary value U=U1；Setting
The time for exposure of the lower CIS sensor is D=D1=0, then to calibration banknote carry out image scanning, acquisition it is described photosensitive
The probe value of element and the lower photosensitive element is denoted as x1And y1, at this moment, expression formula 1 indicates are as follows:；3, the time for exposure that the lower CIS sensor is arranged is an arbitrary value D=D2；Setting
The time for exposure of the upper CIS sensor is 0, it may be assumed that U=U2=0, image scanning, the upper sense of acquisition then are carried out to calibration banknote
The probe value of optical element and lower photosensitive element is denoted as x2And y2, at this moment, expression formula 1 indicates are as follows:, acquire a, b, c, the value of tetra- coefficients of d；4, taking final calibration target is xcWith
ycAnd a, b, c, d substitute into expression formula 1 and obtain, and acquire,；
5, the time for exposure that the upper CIS sensor is arranged is U3, the time for exposure that the lower CIS sensor is arranged is D3, then to school
The probe value of quasi- banknote progress image scanning, the upper photosensitive element of acquisition and lower photosensitive element is denoted as x3And y3, at this moment, table
It is indicated up to formula 1 are as follows:If x3=xc, y3=ycIt sets up, stores newest exposure time values U3And D3, algorithm
It terminates and exits to this, if x3=xc, y3=ycIt is invalid, combine newest two scanning results and recalculates and update a, b,
The value of tetra- coefficients of c, d repeats step 4 to step 5.
2. a kind of calibration method of the banknote image capturing system based on iterative algorithm as described in claim 1, feature exist
In: allowable error K is preset in step 5, if | x3-xc | < K, | y3-yc | < K is then considered as x3=xc, y3=ycIt sets up.
3. a kind of calibration method of the banknote image capturing system based on iterative algorithm as claimed in claim 1 or 2, feature
It is: if x in step 53=xc, y3=ycIt is invalid, combine newest two scanning results and recalculates and update a, b, c, d
The value of four coefficients repeats step 4 to step 5 and records the number of iterations n, and maximum number of iterations N is preset in step 5, right
N > N judged, the newest exposure time values U of record storage if setting up3And D3, algorithm terminates；N=n+1 is set if invalid
Repeat step 4 and step 5.
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| CN107293038B true CN107293038B (en) | 2019-06-18 |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE69009610T2 (en) * | 1989-07-28 | 1995-01-12 | Xerox Corp | Process for creating saved images. |
| CN103093536A (en) * | 2012-06-26 | 2013-05-08 | 广东工业大学 | Banknote identification device and method based on fluorescence time-resolved imaging system |
| CN104123787A (en) * | 2014-07-28 | 2014-10-29 | 梓昆科技（中国）股份有限公司 | High-speed banknote acquisition system and acquisition method |
| CN205068561U (en) * | 2015-09-29 | 2016-03-02 | 沈阳中钞信达金融设备有限公司 | Many spectral image acquisition and analysis processing system of high -speed high resolution of bank note |
| CN105809812A (en) * | 2016-02-29 | 2016-07-27 | 深圳市中钞信达金融科技有限公司 | Acquiring device and method for transmitted images and reflected images |
-
2017
- 2017-06-13 CN CN201710440410.1A patent/CN107293038B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE69009610T2 (en) * | 1989-07-28 | 1995-01-12 | Xerox Corp | Process for creating saved images. |
| CN103093536A (en) * | 2012-06-26 | 2013-05-08 | 广东工业大学 | Banknote identification device and method based on fluorescence time-resolved imaging system |
| CN104123787A (en) * | 2014-07-28 | 2014-10-29 | 梓昆科技（中国）股份有限公司 | High-speed banknote acquisition system and acquisition method |
| CN205068561U (en) * | 2015-09-29 | 2016-03-02 | 沈阳中钞信达金融设备有限公司 | Many spectral image acquisition and analysis processing system of high -speed high resolution of bank note |
| CN105809812A (en) * | 2016-02-29 | 2016-07-27 | 深圳市中钞信达金融科技有限公司 | Acquiring device and method for transmitted images and reflected images |
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