CN102568081B - Image acquisition and processing method and device of paper money discriminator - Google Patents

Image acquisition and processing method and device of paper money discriminator Download PDF

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CN102568081B
CN102568081B CN2012100093399A CN201210009339A CN102568081B CN 102568081 B CN102568081 B CN 102568081B CN 2012100093399 A CN2012100093399 A CN 2012100093399A CN 201210009339 A CN201210009339 A CN 201210009339A CN 102568081 B CN102568081 B CN 102568081B
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image
paper money
image sensor
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signal
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CN102568081A (en
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唐慧敏
范飞军
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Zhejiang Fota Electric Co ltd
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Zhejiang University ZJU
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Abstract

The invention discloses an image acquisition and processing method of a paper money discriminator. The image acquisition and processing method comprises the following steps of: (a) acquiring a paper money image line by line by using a linear array image sensor; (b) performing analog-digital conversion on the acquired paper money image by using an image digitalization module and correcting a digital signal after conversion; (c) outputting the corrected digital signal to a digital signal processor to detect the paper money image; and (d) controlling stop and start of a paper money transmission motor when non-abnormal paper money is detected, wherein a process of acquiring the paper money image is controlled by using a coded disc signal in the step (a). The invention also discloses an image acquisition and processing device of the paper money discriminator, wherein the image acquisition and processing device comprises the linear array image sensor, the image digitalization module, the digital signal processor, the paper money transmission motor and the image acquisition control module; the linear array image sensor is used for acquiring the paper money image line by line; the image digitalization module is used for performing analog-digital conversion and signal correction; the digital signal processor is used for performing paper money image detection, the paper money transmission motor is used for controlling the paper money transmission; and the image acquisition control module is used for controlling the process of acquiring the paper money image by using the coded disc signal.

Description

Image acquisition processing method and device for paper currency discriminator
Technical Field
The invention relates to an image acquisition processing method of a paper money discriminator, and also relates to an image acquisition processing device of the paper money discriminator, in particular to an image acquisition processing method and device of the paper money discriminator for outputting paper money in a single port form.
Background
With the development of economy, it becomes more and more important to maintain financial order and the interests of the public, and how to strictly prevent counterfeit money from entering the market, the attention of financial regulatory agencies and the public is more and more drawn. It is an effective means to improve the counterfeit money recognition capability of the paper money discriminator by using the image processing technology. The national release of 'universal technical conditions for RMB counterfeit money discriminator' in 2010, 9 months and 26 days, and the paper money processing equipment of all banks needs to have the image recognition function in the coming years. The paper money discriminator with single port to output paper money, such as money counter and money checker, has the advantages of small volume, low cost, etc., and is popular with banks, supermarkets, etc.
The paper currency discriminator with single-port paper currency output in the prior art stops when encountering abnormal paper currency and outputs the abnormal paper currency. At this time, a normal or abnormal paper money is arranged immediately behind the paper money discriminator, and the paper money discriminator is blocked in the paper money discriminator due to the stop of the paper money discriminator under the condition of incomplete image acquisition. The prior art bill validator requires the jammed bill to be manually removed. And after the paper money discriminator is started again, putting the paper money again for discriminating the paper money. The paper money discriminator cannot continue to collect spliced paper money images after being restarted under the condition of incomplete paper money image collection, needs to take out paper money and put the paper money again to carry out paper money image collection work, and is inconvenient to operate and time-consuming.
On the other hand, in a linear array image sensor of the banknote discriminator in the prior art, such as a Contact Image Sensor (CIS) sensor, due to the continuous exposure characteristic, even if the banknote discriminator can continue to collect spliced banknote images after being restarted under the condition that the banknote images are not completely collected, the spliced complete banknote images have obvious light and shade mutation, the quality of the collected banknote images is seriously affected, and the banknote discriminator is easy to identify the banknote images to generate misjudgment behaviors.
Disclosure of Invention
The invention aims to solve the technical problem of providing an image acquisition and processing method of a paper money discriminator, which can effectively realize the control of the acquisition of paper money images and reliably, completely and excellently acquire the paper money images; the invention also provides an image acquisition and processing device of the paper money discriminator, after the device is used, the clamped paper money is taken out without opening a cover in the paper money discriminating process, the image acquisition and processing of the paper money can be continuously carried out on the clamped paper money only after the device is restarted, the image quality is excellent, the condition of light and shade mutation does not exist, and the device is convenient, time-saving and quick to operate.
In order to solve the technical problem, the invention provides an image acquisition and processing method of a paper currency discriminator, which comprises the following steps of a) acquiring a paper currency image line by adopting a linear array image sensor; b) adopting an image digitization module to carry out analog-to-digital conversion on the acquired banknote image, and carrying out correction processing on a converted digital signal; c) outputting the corrected digital signal to a digital signal processor for detecting the image of the paper money; and d) controlling the stop and start of the banknote drive motor when an abnormal banknote is detected; wherein, the process of acquiring the banknote image is controlled by using the code wheel signal in the step a).
In the method, the controlling the process of acquiring the banknote image comprises: controlling the exposure of the line array image sensor; and controlling the acquisition of each line of images.
In the above method, the controlling exposure of the line array image sensor comprises: controlling the light source to emit light; and controlling the photoelectric integral of the linear array image sensor.
In the above method, the controlling the process of obtaining the banknote image further includes: inserting exposure of a linear array image sensor once when the time interval from starting exposure to starting reading out photoelectric integrated charges of the exposure exceeds a set time T, wherein the specific steps comprise delaying a code disc signal P0 for n line periods T0 to obtain a code disc signal Pn (n is an integer which is equal to 1); each code wheel signal Pn triggers and collects a row of paper money images; and when each code wheel signal P0 arrives, if the time width of the last code wheel signal P0 is greater than the set time T, the photoelectric integral of the linear array image sensor is started, and the light source is started to emit light.
In the method, the triggering of the acquisition of the image by the code wheel signal Pn comprises the following steps: starting linear array image sensor photoelectric integration; starting a light source to emit light, wherein the light emitting time is preset; performing analog-to-digital conversion on a paper money image acquired by a linear array image sensor; and performing correction processing on the converted digital signal.
The method further comprises at least one of the following banknote image pixel order adjusting methods: when the linear array image sensor is output in a segmented mode, sorting the image pixels of the paper money; and when the line array image sensor is reversely mounted on the left and the right, adjusting the output sequence of the image pixels of the paper money.
In order to implement the above method to solve the above technical problem, the present invention further provides an image collecting and processing apparatus for a banknote validator, comprising: the system comprises a linear array image sensor for acquiring a paper money image line by line, an image digitization module for analog-to-digital conversion and signal correction, a digital signal processor for paper money image detection, a paper money transmission motor for controlling paper money transmission, and an image acquisition control module for controlling the process of acquiring the paper money image by using a code disc signal.
In the above device, the image acquisition control module comprises the following image acquisition control circuits: the image acquisition control circuit is used for delaying the code wheel signal P0 by n lines to obtain a code wheel signal Pn (n is an integer of 1); the image acquisition control circuit is used for triggering and acquiring a row of paper money images by each code wheel signal Pn; and the image acquisition control circuit is used for starting the photoelectric integration of the linear array image sensor and starting the light source to emit light when the time interval of each code wheel signal P0 arrives and the last code wheel signal P0 is greater than the set time T.
In the above device, the triggering of the code wheel signal Pn to acquire the image includes the following steps: starting linear array image sensor photoelectric integration; starting a light source to emit light, wherein the light emitting time is preset; performing analog-to-digital conversion on a paper money image acquired by a linear array image sensor; and performing correction processing on the converted digital signal.
The device further comprises at least one of the following banknote image pixel order adjusting circuits: the sequence adjusting circuit is used for sequencing the pixels when the linear array image sensor is output in a segmented mode; and the sequence adjusting circuit is used for adjusting the output sequence of the pixels when the linear array image sensor is reversely arranged at the left and the right.
Has the advantages that: the process of acquiring the paper money image is controlled by using the code wheel signal, so that the control process is more accurate, more importantly, the method has better adaptability, and can deal with more situations, such as the stop and the start of a paper money transmission motor when abnormal paper money is detected.
The process of acquiring the paper currency image is controlled by using the code wheel signal, so that the condition that the collected paper currency image is incomplete due to sudden stop of a paper currency transmission motor can be dealt with. By adopting the control method, even if the device is restarted, the clamped paper money can still be subjected to high-quality paper money image acquisition processing without manually taking out and putting in.
The exposure of the linear array image sensor is controlled, and the acquisition of each line of image is controlled, so that the method has the advantages that: the problem of overlong exposure time of the linear array image sensor can be avoided, so that the obtained paper money image quality is better, and the linear array image sensor is more suitable for image detection. After the control method is adopted, the condition of obvious light and shade mutation can not occur in the process of collecting and processing the paper money image.
The light source is controlled to emit light and the photoelectric integral of the linear array image sensor is controlled, so that the advantages of the method are as follows: the problem of overlong exposure time of the linear array image sensor can be avoided, so that the obtained paper money image quality is better, and the method is more suitable for image detection. After the control method is adopted, the condition of obvious light and shade mutation can not occur in the process of collecting and processing the paper money image.
In conclusion, the image acquisition processing method of the paper currency discriminator can effectively realize the control of the paper currency image acquisition and reliably, integrally and excellently acquire the paper currency image. By adopting the image acquisition and processing device of the paper money discriminator, the clamped paper money is not required to be taken out by opening a cover in the paper money discriminating process after the device is used, the image acquisition and processing of the paper money can be continuously carried out on the clamped paper money only after the device is restarted, the image quality is excellent, the condition of light and shade mutation does not exist, and the device is convenient, time-saving and quick to operate.
Drawings
Other features and advantages of the present invention will become apparent from the following description of the preferred embodiment, taken in conjunction with the accompanying drawings, which illustrate, by way of example, the principles of the invention.
FIG. 1 is a flow chart of one embodiment of an image acquisition processing method of the present invention;
FIG. 2 is a functional block diagram of the process of acquiring a banknote image using a code wheel signal in one embodiment of the present invention;
fig. 3 is a schematic structural diagram of an embodiment of an image acquisition and processing device in the invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings:
fig. 1 is a flowchart of an embodiment of an image acquisition processing method in the present invention, which includes the following steps:
the method comprises the following steps: and acquiring the banknote image line by adopting the linear array image sensor S108. The line image sensor may be a CIS (contact image sensor), CCD (Charge-coupled Device), or CMOS (complementary metal Oxide Semiconductor) sensor. An FPGA (Field Programmable Gate array) or a CPLD (complex Programmable Logic Device) can be used to control the exposure, photoelectric integration, output clock, and other related signals of the CIS sensor. When the banknote image is acquired line by line, the light emitting mode of the light source can be changed according to the line unit, for example, the light emitting modes such as white light transmission, white light reflection, infrared transmission, infrared reflection, ultraviolet reflection, various monochromatic light reflection or transmission and the like can be adopted. The linear array image sensor can acquire different paper money images exposed line by line.
The process of acquiring the banknote image is controlled using the code wheel signal S102. The method comprises the following steps of S103, controlling the exposure of the linear array image sensor; and controlling the acquisition of each line of images S104. The control of the linear array image sensor exposure comprises the control of light source luminescence S105 and the control of linear array image sensor photoelectric integration S106. The control of the light source to emit light refers to controlling the light source to start emitting light and end emitting light when each line of the paper money image is collected. The control of the photoelectric integration of the linear array image sensor refers to controlling a light sensing start signal of the linear array image sensor, and reading and emptying the charges in light sensing units (pixels) in the linear array image sensor by the signal, namely, enabling the light sensed signal of the previous row to be read.
The process of acquiring the paper money image is controlled by using the code disc signal, and the code disc signal corresponding to the transmission of the paper money is used for controlling the process of acquiring the paper money image. The adjustment is mainly carried out by using a code wheel signal. The code wheel is a common incremental angle sensor, the disc is uniformly scribed by utilizing a photoetching technology, when the disc rotates, light rays received by the receiving tube influenced by the scribed line are changed in brightness, and high and low jump levels are output. Typically, a code wheel signal corresponds to n/m image lines, where m and n are positive integers. The code wheel signal frequency multiplication and frequency division can be utilized to obtain the pulse signal of the paper money image line, and the line pulse signal is utilized to start the linear array image sensor exposure and the collection of each line of image. Since the row pulse signal is derived from the code wheel signal, the code wheel signal itself is when n/m is equal to 1, and thus the following code wheel signal refers broadly to the row pulse signal obtained using the code wheel signal.
When the code wheel is installed on the motor, the motor rotates, and then a pulse signal is output from the photosensitive circuit. That is to say, every time the paper currency is conveyed for a certain distance, a pulse signal is output, and the output pulse signal can be converted into the paper currency conveying distance, so that the longitudinal sampling interval of the paper currency is controlled by the pulse signal output by the code disc.
In order to obtain better image quality, the process of acquiring the banknote image is further controlled by using a code wheel signal in the time period of stopping and restarting the banknote transmission motor when abnormal banknotes are detected, and particularly, the process of acquiring the banknote image of the normal or abnormal banknote which is clamped in the transmission motor and is immediately behind the detected abnormal banknote is controlled, so that the light sensing time, namely the photoelectric integration time, of the linear array image sensor is controlled. When the time interval from the start of exposure to the start of readout of the photoelectric integrated charge for this exposure exceeds the set time T, it is S107 to insert one line image sensor exposure. In general, the code wheel signal can be directly used to start the linear array image sensor exposure, and the reading is started when the next code wheel signal arrives. After the linear array image sensor is started to expose, if no reading signal exists within the set time T, the linear array image sensor is inserted for exposure before the reading signal, namely, the new exposure is used for replacing the existing exposure, so that the banknote image error caused by overlong photosensitive time is avoided, and fig. 2 is a schematic block diagram for controlling the process of acquiring the banknote image by using a code wheel signal in one embodiment of the invention. As shown in fig. 2, the specific steps are as follows:
the code wheel signal P0S202 is delayed by n line periods T0S203 to obtain the code wheel signal PnS 204. Where the line period T0 is the minimum time required for each line of the line image sensor to read out, n is an integer of > 1, the size of n is chosen to have a correlation with the banknote scanning speed, and if the average time to transmit each line of banknote image data at the current banknote scanning speed is T1, then typically n is (T1/T0+1), where n is rounded forward. By doing so, the phenomenon that the whole row of light and shade mutation occurs in the acquired image can be avoided.
Each Pn signal triggers the acquisition of a row of banknote images, which specifically includes: starting linear array image sensor photoelectric integration and starting a light source to emit light, wherein the light emitting time is preset S205; performing analog-to-digital conversion on the banknote image acquired by the linear array image sensor S206; and performing correction processing on the converted digital signal S207. The starting of the linear array image sensor photoelectric integral is to send a linear array image sensor integral starting signal SI used for ending the last exposure, clearing the last photosensitive charge and starting the next paper money image photosensitive.
When each code wheel signal P0 arrives S208, if the time width of the last code wheel signal P0 is larger than the set time T S209, the linear array image sensor photoelectric integration is started and the light source is started to emit light S210. The light emitting time of the light source is preset.
The signal SI obtained by starting the linear array image sensor through photoelectric integration is used for removing the photosensitive charge of the last linear array image sensor and starting the next banknote image sensitization, that is, the photosensitive charge (signal) is not utilized, because the sensitization time is too long, the interference of ambient light or dark current is large, and the exposure needs to be performed again.
Step two: the acquired banknote image is subjected to analog-to-digital conversion S109, and the converted digital signal is subjected to correction processing S110. The digital signal correction is to perform gray scale correction and sequencing on each collected banknote image pixel. Due to the reasons of uneven illumination, inconsistent photosensitive sensitivity and black level of each photosensitive pixel point of the linear array image sensor and the like, the acquired banknote image has serious gray level inconsistency, and the correct banknote image can be obtained only by performing gray level correction. The above-mentioned gradation correction means that the acquired banknote image is linearly or nonlinearly converted. Specifically, the analog output value of the line array image sensor, namely the acquired banknote image, is corrected after analog-to-digital conversion, so that the banknote image information can be correctly reflected. The method comprises sampling and quantizing the acquired banknote image output by the linear array image sensor, and performing linear or nonlinear transformation compensation on its bright output and dark output. If the output value of the linear array image sensor is composed of a plurality of sections of linear array image sensors, all the sections of linear array image sensors can output simultaneously, and need to be sequenced after digitization, so that the banknote image information is output according to the sequence of the banknote image pixels. Adopting at least one of the following banknote image pixel order adjusting methods: when the linear array image sensor is output in a segmented mode, sorting the image pixels of the paper money S114; and adjusting the output sequence of the banknote image pixels when the line array image sensor is reversely mounted on the left and the right sides S115.
Step three: outputting the corrected banknote image to a digital signal processor for banknote image detection S111. The digital signal processor may be a dedicated DSP (digital signal processor) or a general-purpose processor. The banknote image detection method may adopt an existing image recognition method, such as a method of image matching, such as gray scale matching and feature matching. Wherein the gray matching comprises using the absolute value of the error and judging the similarity degree between the images; the feature matching includes texture features, shape features, and the like, or matching is performed using corner points, edge points, and the like.
Step four: the stop and start of the bill actuator motor is controlled at S112 when an abnormal bill is detected and S113. Abnormal notes include suspicious counterfeit notes, damaged, stained, folded, overly old notes, etc. that need to be sorted. When abnormal paper money is detected, the paper money transmission motor stops rotating, the abnormal paper money is taken out, and the paper money transmission motor is started again.
Fig. 3 is a schematic structural diagram of an embodiment of an image acquisition and processing device according to the present invention. The embodiment comprises the following steps: the system comprises a linear array image sensor 301 for acquiring a banknote image line by line, an image digitization module 302 for analog-to-digital conversion and signal correction, a digital signal processor 303 for banknote image detection, a banknote transmission motor 304 for controlling banknote transmission, and an image acquisition control module 305 for controlling the process of acquiring the banknote image by using code disc signals.
The linear array image sensor, in this embodiment, a CIS sensor is used, and may be another linear array image sensor.
And the image acquisition control module controls the process of acquiring the paper money images by using the code wheel signals, and comprises the exposure control of the linear array image sensor and the acquisition control of each line of images. The code wheel signal is generated by a code wheel photosensitive circuit (including a shaping circuit). The image acquisition control module can be realized by circuits such as an FPGA (field programmable gate array) or a CPLD (complex programmable logic device). The image acquisition control module comprises the following image acquisition control circuits: an image acquisition control circuit 306 for delaying the code wheel signal P0 by n lines to obtain a code wheel signal Pn (n is an integer of 1); an image acquisition control circuit 307 for triggering and acquiring a row of paper money images by each code wheel signal Pn; and the image acquisition control circuit 308 is used for starting the linear array image sensor photoelectric integration and starting the light source to emit light when each code wheel signal P0 arrives and the time interval to the last code wheel signal P0 is greater than the set time T.
The image digitization module comprises a circuit for realizing an Analog-to-Digital conversion function and a signal correction function, wherein the Analog-to-Digital conversion function can be realized by one or more than ten high-speed ADCs (Analog-to-Digital converters), and the number of the ADCs is determined according to the segmentation of the linear array image sensor and the number of channels of the ADCs.
The Digital signal processor may employ a general Digital signal processor DSP (Digital signal processing), such as a DSP of the company TI (Texas Instruments ), a DSP of the company ADI (Analog Device Inc, germano semiconductor technology), and more conveniently a DSP directed to video image processing, such as a davicni (davenci) of the company TI or a Blackfin (black fin) series processor of the company ADI. The digital signal processor may also be implemented as other embedded processors, such as x86 (a generic name of a Microprocessor architecture first developed and manufactured by Intel), ARM (Advanced RISC Machines), or MIPS (Microprocessor with interlocked pipeline stages).
The paper money transmission motor can be realized by adopting an embedded processor or other circuits, such as ARM, MIPS and other processors, and can also share the processor with a digital signal processor.
The embodiment further includes a pixel order adjusting circuit 309, which is used for sorting pixels when the linear array image sensor is output in segments. The sequence adjusting circuit is used for sequencing pixels when the linear array image sensor is output in a segmented mode and adjusting the output sequence of the pixels when the linear array image sensor is reversely mounted left and right. The specific operation is as follows: the linear array image sensor outputs data in sections, the data is input into an image acquisition control module (an internal RAM (random access memory) can be adopted when the FPGA is adopted, and an external RAM is generally required when the CPLD is used) formed by the FPGA or the CPLD through analog-to-digital conversion of the ADC, and a banknote image output according to the pixel sequence of the linear array image sensor is obtained by controlling the address written into or read out of the RAM.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, those skilled in the art may make various changes or modifications within the scope of the appended claims.

Claims (8)

1. An image acquisition processing method of a paper currency discriminator is characterized by comprising the following steps:
a) acquiring a paper money image line by adopting a linear array image sensor;
b) performing analog-to-digital conversion on the acquired banknote image, and performing correction processing on a converted digital signal;
c) outputting the corrected digital signal to a digital signal processor for detecting the image of the paper money; and
d) controlling the stop and start of the paper money transmission motor when detecting abnormal paper money; wherein,
step a), utilizing a code wheel signal to control the process of obtaining a paper money image;
the process of acquiring the banknote image further comprises: when the time interval from the start of exposure to the start of reading out of the photoelectric integrated charges of the exposure exceeds the set time T, inserting the linear array image sensor for exposure once, and the specific steps are as follows:
delaying a code disc signal P0 for n line periods T0 to obtain a code disc signal Pn, wherein n is an integer of > = 1;
each code wheel signal Pn triggers and collects a row of paper money images; and
when each code wheel signal P0 arrives, if the time width of the last code wheel signal P0 is larger than the set time T, the photoelectric integration of the linear array image sensor is started, and the light source is started to emit light.
2. The image capture processing method of claim 1, wherein said controlling the process of capturing images of the bank notes comprises: controlling the exposure of the line array image sensor; and controlling the acquisition of each line of images.
3. The image acquisition processing method according to claim 2, wherein the controlling of the exposure of the line image sensor comprises: controlling the light source to emit light; and controlling the photoelectric integral of the linear array image sensor.
4. The image acquisition processing method according to claim 1, wherein the trigger acquisition of the banknote image by the code wheel signal Pn comprises the following steps:
starting linear array image sensor photoelectric integration;
starting a light source to emit light, wherein the light emitting time is preset;
performing analog-to-digital conversion on a paper money image acquired by a linear array image sensor; and
and performing correction processing on the converted digital signal.
5. The image capture processing method of claim 1, further comprising at least one of the following banknote image pixel order adjustment methods:
when the linear array image sensor is output in a segmented mode, sorting the image pixels of the paper money; and
and when the line array image sensor is reversely mounted on the left and the right, adjusting the output sequence of the image pixels of the paper money.
6. An image acquisition and processing device of a paper currency discriminator is characterized by comprising: the system comprises a linear array image sensor for acquiring a paper money image line by line, an image digitization module for analog-to-digital conversion and signal correction, a digital signal processor for paper money image detection, a paper money transmission motor for controlling paper money transmission and an image acquisition control module for controlling the process of acquiring the paper money image by utilizing a code disc signal;
the image acquisition control module comprises the following image acquisition control circuits:
the image acquisition control circuit is used for delaying the code wheel signal P0 by n lines to obtain a code wheel signal Pn, wherein n is an integer of > = 1;
the image acquisition control circuit is used for triggering and acquiring a row of paper money images by each code wheel signal Pn; and
and the image acquisition control circuit is used for starting the linear array image sensor photoelectric integration and starting the light source to emit light when each code wheel signal P0 arrives and the time interval to the last code wheel signal P0 is greater than the set time T.
7. The image acquisition processing device according to claim 6, wherein said code wheel signal Pn triggering image acquisition comprises the following steps:
starting linear array image sensor photoelectric integration;
starting a light source to emit light, wherein the light emitting time is preset;
performing analog-to-digital conversion on a paper money image acquired by a linear array image sensor; and
and performing correction processing on the converted digital signal.
8. The image capture processing apparatus of claim 6, further comprising at least one of the following banknote image pixel order adjustment circuits:
the sequence adjusting circuit is used for sequencing the pixels when the linear array image sensor is output in a segmented mode; and
and the sequence adjusting circuit is used for adjusting the output sequence of the pixels when the line array image sensor is reversely arranged on the left and the right.
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Families Citing this family (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103093540A (en) * 2012-09-26 2013-05-08 深圳市怡化电脑有限公司 Method and device for detecting width and interval of paper money
CA2887167C (en) 2012-11-14 2017-10-31 Mitsubishi Electric Corporation Signal processing device, signal processing method and information reading apparatus
CN103310528B (en) 2013-07-08 2016-08-17 广州广电运通金融电子股份有限公司 Image compensation modification method and identification banknote tester
CN103413368B (en) * 2013-08-02 2015-09-23 广东百佳百特实业有限公司 Carry out before dispatching from the factory or after dispatching from the factory financial detecting the device corrected
CN103927814B (en) * 2014-04-10 2016-04-27 尤新革 The currency counting and detecting machine of automatic calibration brightness
CN103903335A (en) * 2014-04-10 2014-07-02 华中科技大学 Money counting and checking machine with multispectral image collecting and processing circuit
CN105096444B (en) * 2014-05-22 2017-11-07 浙江大学 A kind of paper banknote identifier IMAQ and data processing method and circuit
CN104200562A (en) * 2014-07-18 2014-12-10 浙江方泰电器有限公司 Image acquisition and processing method and image acquisition and processing circuit for double-CIS paper money identifier
CN104331978B (en) * 2014-11-19 2017-02-01 广州广电运通金融电子股份有限公司 Recognition device and method for fold of paper currency
CN104916037A (en) * 2015-06-26 2015-09-16 深圳市中钞信达金融科技有限公司 Banknote serial number identification device and method thereof
CN105447826B (en) * 2015-11-06 2018-09-07 东方通信股份有限公司 A kind of processing method of banknote image acquisition
CN108022361B (en) * 2016-10-31 2021-05-28 威海新北洋荣鑫科技股份有限公司 Image data acquisition method and device
EP3503046B1 (en) * 2017-12-22 2020-10-14 CI Tech Sensors AG System comprising a processing device and a connected camera, for detecting of a machine-readable security feature of a valuable document and method for exchanging a camera in such a system

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201673555U (en) * 2010-01-20 2010-12-15 上海古鳌电子机械有限公司 Number identification device of banknote sorting machine
CN201927099U (en) * 2010-12-31 2011-08-10 北京兆维电子(集团)有限责任公司 Anti-counterfeit device for paper money

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201673555U (en) * 2010-01-20 2010-12-15 上海古鳌电子机械有限公司 Number identification device of banknote sorting machine
CN201927099U (en) * 2010-12-31 2011-08-10 北京兆维电子(集团)有限责任公司 Anti-counterfeit device for paper money

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
基于CPLD的清分机纸币图像采集系统;黄天耀等;《国外电子元器件》;20081130;第61-64页 *
黄天耀等.基于CPLD的清分机纸币图像采集系统.《国外电子元器件》.2008,

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