CN107273779A - A kind of bar code image recognition methods, system and device - Google Patents
A kind of bar code image recognition methods, system and device Download PDFInfo
- Publication number
- CN107273779A CN107273779A CN201710436084.7A CN201710436084A CN107273779A CN 107273779 A CN107273779 A CN 107273779A CN 201710436084 A CN201710436084 A CN 201710436084A CN 107273779 A CN107273779 A CN 107273779A
- Authority
- CN
- China
- Prior art keywords
- angle value
- exposure
- difference angle
- time
- predetermined threshold
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
- G06K7/1404—Methods for optical code recognition
- G06K7/146—Methods for optical code recognition the method including quality enhancement steps
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/30—Payment architectures, schemes or protocols characterised by the use of specific devices or networks
- G06Q20/32—Payment architectures, schemes or protocols characterised by the use of specific devices or networks using wireless devices
- G06Q20/327—Short range or proximity payments by means of M-devices
- G06Q20/3274—Short range or proximity payments by means of M-devices using a pictured code, e.g. barcode or QR-code, being displayed on the M-device
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Electromagnetism (AREA)
- Toxicology (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Computer Networks & Wireless Communication (AREA)
- Quality & Reliability (AREA)
- Accounting & Taxation (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Studio Devices (AREA)
Abstract
The invention provides a kind of bar code image recognition methods, system and device, scheme includes:Obtain the continuous bar code image information of at least two frames;Extract the characteristic vector of the two field pictures;The difference angle value of two field pictures before and after being calculated according to the characteristic vector of extraction;When the difference angle value is more than predetermined threshold, the time for exposure for needing to configure is calculated according to difference angle value, the difference angle value and time for exposure are into negative correlation;When the difference angle value is less than or equal to predetermined threshold, the time for exposure for needing to configure is calculated according to brightness of image.The present invention compensate for that the bar code image identifying schemes of higher discrimination can be kept there is provided a kind of only with the deficiency of automatic exposure in the prior art.
Description
Technical field
The present invention relates to mobile payment field, the bar code image recognition methods such as more particularly to a kind of Quick Response Code, bar code, sheet
Invention additionally provides the system using this image-recognizing method, and there is provided under being paid in barcode scanning in this way, be
The device of system.
Background technology
With development of Mobile Internet technology and the rise of ecommerce, barcode scanning payment technology has obtained general in mobile payment field
And application.Success rate is paid in order to improve barcode scanning, the accuracy and agility of bar code image identification are the problem of needing to consider.It is existing
There is technology to use built-in photo-sensitive cell sensor (primary photosensitive element such as CMOS or ccd sensor) acquisition system, such as
CN201510652810.X.Acquisition system carries out IMAQ, when in compared with dark situation, photosensitive member using auto exposure mode
Part can increase the time for exposure automatically to improve brightness.When in compared with bright ring border, photo-sensitive cell can reduce the time for exposure automatically,
Avoid overexposure.
But existing digital image acquisition method not fully adapts to the situation of barcode scanning payment.Study and send out by inventor
Existing, barcode scanning also needs to consider following problem when paying:1st, when barcode scanning is paid, Quick Response Code is formed on mobile communication terminal (such as intelligence
Can mobile phone) screen on, and alignment barcode scanning device is hold by holding.The time for exposure of conventional images acquisition method is bright by environment
What degree was determined, the time for exposure can be automatically increased when ambient brightness is relatively low, and target is when being kept in motion, during long exposure
Between can not clearly catch moving target.Therefore the reason for many barcode scannings pay failure only considers brightness when being and calculating the time for exposure,
Caused by motion conditions without considering barcode scanning target.2nd, in actual applications, Quick Response Code is often shown by mobile terminal screen
Show, even if in the case that ambient brightness is inadequate, by screen automatic light source, reason can be also collected under the less time for exposure
The bar code digital picture thought.
The content of the invention
The present invention is made up in existing recognition methods using the deficiency of automatic exposure technology there is provided one kind for mobile payment
Close, in the case of particularly having mobile by barcode scanning target, can also keep the bar code image recognition methods of higher recognition success rate.
This bar code image recognition methods is formed by following technical characteristic:
Obtain the continuous bar code image information of at least two frames;
Extract the characteristic vector of the two field pictures;
The difference angle value of two field pictures before and after being calculated according to the characteristic vector of extraction;
When the difference angle value is more than predetermined threshold, the time for exposure for needing to configure, the area are calculated according to difference angle value
Other angle value and time for exposure are into negative correlation;When the difference angle value is less than or equal to predetermined threshold, calculated according to brightness of image
Need the time for exposure of configuration.
Because Processing in Barcode Recognizing System configures limited, therefore algorithm how is set particularly to be weighed efficiently to calculate the time for exposure
Will.The present invention additionally provides the preferred steps of the above method simultaneously:
Wherein, when extracting image feature vector, multiple images block (such as 64*64 image block) can be divided an image into, is counted
The gray average for calculating each image block obtains obtaining array b after array a, normalized, described array b as image spy
Levy vector.
Then, angle value d is distinguished by equation below computing technique
It is preferred that, by multigroup experimental data, under most mobile payment scene, exposure time range is 1ms-
30ms can meet target identification and accurately require.
It is preferred that, need the exposure gain of configuration, the difference angle value and exposure gain value always according to difference angle value matching
Into positive correlation.
It is preferred that, the recognition methods is in constantly circulation, until recognizing successfully, or reaches identification end condition.
Identification end condition can be set as working as recognition time more than predetermined value, but successful without identification, determine up to end condition.
Another object of the present invention is the system for providing the application above method.
The system includes:
Image collection module, for obtaining the continuous bar code image information of at least two frames;
Characteristic vector pickup module, the characteristic vector for extracting the two field pictures;
Angle value computing module is distinguished, for the difference angle value according to two field pictures before and after the calculating of the characteristic vector of extraction;
Time for exposure computing module, for calculating the time for exposure, when the difference angle value is more than predetermined threshold, according to area
Other angle value calculates the time for exposure for needing to configure, and the difference angle value and time for exposure are into negative correlation;When the difference angle value is less than
Or during equal to predetermined threshold, the time for exposure for needing to configure is calculated according to brightness of image.Also include exposure gain computing module, when
When the difference angle value is more than predetermined threshold, the exposure gain for needing to configure always according to difference angle value matching, the difference angle value
With exposure gain value into positive correlation.
Present invention also offers the device applied to the above method and system, including:
Camera module, for shooting bar code image information;
CPU, it is adaptable to realize each instruction;
Storage device, suitable for storing a plurality of instruction, the instruction is applied to be loaded and performed by CPU:Obtain
The continuous bar code image information of at least two frames;Extract the characteristic vector of the two field pictures;Calculated according to the characteristic vector of extraction
The difference angle value of front and rear two field pictures;When the difference angle value is more than predetermined threshold, being calculated according to difference angle value needs configuration
Time for exposure, the difference angle value and time for exposure are into negative correlation;When the difference angle value is less than or equal to predetermined threshold, root
The time for exposure for needing to configure is calculated according to brightness of image;Described camera module is configured according to the time for exposure of calculating.
It is preferred that scheme in, the terminal be used for recognize bar code image be formed on the terminal screen with automatic light source
On, it is 1ms-30ms that the device, which calculates the exposure time range obtained,.
It is preferred that scheme in, when it is described difference angle value be more than predetermined threshold when, always according to difference angle value calculate need configuration
Exposure gain, the difference angle value and exposure gain are into positive correlation;When the difference angle value is less than or equal to predetermined threshold, root
The exposure gain for needing to configure is calculated according to brightness of image;Described camera module is configured according to the exposure gain of calculating.
The beneficial effect of the application is:
The particularity of application scenarios is paid based on barcode scanning, a kind of scheme more optimized have selected to the configuration time for exposure.It is first
First, by extracting and calculating the characteristic vector difference of two continuous frames image, the difference amplitude of two field pictures is judged.When difference degree
During more than predetermined threshold, it is believed that identification target is under larger variable condition, and the time for exposure now configured is smaller, it is to avoid nothing
Method obtains apparent image.In current actual application scenarios, the moving target swept is often the Quick Response Code on mobile phone,
Due to mobile phone screen automatic light source, preferable Quick Response Code digital picture can be also collected even if the less time for exposure and is known
Not.But, reduction time for exposure that again can not be unlimited, because after the time for exposure is reduced, working sensor must operate at high frequency
Under state, more pictures must be also gathered in the unit interval, the live load of CPU is added.Therefore, area is worked as
Other degree be less than or equal to predetermined threshold when, that is, think identification target be in small change state, or with brightness of image because
Element is used as the parameter for configuring the time for exposure.This method is under the application scenarios that barcode scanning is paid, with recognition success rate height and efficiency
High advantage.
Further, since this method is mainly used in mobile payment field, therefore the configuration of system is limited, with that can use
The host computer of height configuration is different.Unique computational methods are employed on difference degree extracting characteristic vector and calculating.To divide
The method of image block and gray count realizes that the extraction of characteristic vector and difference degree are calculated.Method has taken into account system effectiveness and two dimension
The problem of code resolution.
In order to further improve resolution, this method additionally uses the method that exposure gain is configured by degree of difference.Due to
The time for exposure of this method is inverse proportion with difference degree, it is meant that if target object change is greatly, the time for exposure is few, the light of entrance
Line is also few, although most of image in 2 D code can be recognized, this method proposes that can suitably increase exposure gain (increases simultaneously
The lightsensitivity of loading light equipment) to improve discrimination the problem of.It should say, under the application scenarios that barcode scanning is paid, by increasing
Plus exposure gain, rather than preferably increase the time for exposure, it often can more improve discrimination.
Brief description of the drawings
Fig. 1 is the flow chart of bar code image acquisition method of the present invention;
Fig. 2 is functional block diagram of the present invention;
Embodiment
Embodiments of the invention are illustrated below with reference to accompanying drawing 1-2.
The present invention provides a kind of bar code image identifying device, including camera module and CPU;Image head mould
Block includes camera lens, photo-sensitive cell CMOS;CPU is used to handle the image information extracted and calculates camera module
Time for exposure, camera module is configured according to the time for exposure of calculating.
Bar code information is formed on mobile terminal, such as smart mobile phone or Intelligent flat computer.Pattern recognition device recognizes bar
After code information, identification information is encrypted, and is sent by cellular base station or by router to account settlement server.Clearing service
After device clearing, feedback information is fed back to by cellular base station or router, the whole process of mobile payment is finally completed.
Therefore, how clearly, efficiently recognize the Quick Response Code on mobile terminal is the improvement emphasis of the present invention.
Refering to Fig. 1, as a kind of bar code image recognition methods, including:
Obtain the continuous bar code image information of at least two frames;The image pane obtained can be adjusted according to specific application scenario
Formula, is generally gray level image;
Extract the characteristic vector of the two field pictures;
The difference angle value of two field pictures before and after being calculated according to the characteristic vector of extraction;
By the difference angle value, using the different strategy configuration time for exposure, to reach the purpose for obtaining picture rich in detail.
If the difference angle value is more than predetermined threshold, the time for exposure for needing to configure is calculated according to difference angle value, should
Angle value and time for exposure are distinguished into negative correlation.If distinguishing angle value is more than predetermined threshold, it is believed that current bar code motion amplitude is big, because
This can not calculate the time for exposure with brightness of image, and to distinguish angle value as calculation basis.When difference angle value is big, illustrate bar code
The amplitude of motion is big, it should reduce the time for exposure, to ensure the definition of image.
If the difference angle value is less than or equal to predetermined threshold, then it is assumed that the motion amplitude of bar code less, can be with
In the range of correct identification, now not to distinguish the calculating factor that angle value is configured as the time for exposure, and calculated with brightness of image
Need the time for exposure of configuration.
Under most mobile payment scene, it is accurate that exposure time range can just meet target identification for 1ms-30ms
The requirement of property.
As a kind of preferred embodiment, in order to efficiently calculate the time for exposure, adopt with the following method extract characteristics of image to
Amount and calculating difference angle value.
Multiple images block (such as 64*64 image block) is divided an image into, the gray average for calculating each image block is obtained
Obtain array b after array a, normalized, described array b as image characteristic vector.
The characteristic vector b1 and b2 of two continuous frames image are extracted, the similarity d between b1 and b2, difference angle value d meters is calculated
Calculate formula as follows,
As a kind of preferred embodiment, when the difference angle value is more than predetermined threshold, it can also be counted according to difference angle value
Calculate the exposure gain for needing to configure.Increase exposure gain can increase sensitivity of the sensor devices to light.ISO is to low light
According to sensitive, at the same it is also sensitive to noisy signal, but can be mitigated using picture software decrease of noise functions or remove noisy signal.
In a particular embodiment, exposure gain value is made up of one group of optional numerical value, and these optional numerical value are by difference
Photo-sensitive cell CMOS chip manufacturer provide when dispatching from the factory.Due to yield value quantity and the numerical value area of different producers
Not, therefore, the corresponding relation of difference angle value and yield value can be obtained by testing, this mapping table of change CMOS chip
Also it can change therewith.The corresponding relation of difference angle value and yield value is stored in system memory unit, by CPU
Transfer as needed.
As a kind of preferred embodiment, also provide a kind of self-learning algorithm to generate pair of difference angle value and yield value
It should be related to.Including:The yield value quantity set in different CMOS chips is read, the collection area of identical quantity is formed, it is different
Collection area is assigned with different gain values.When often running into a new difference angle value, progressively according to each set area
The gain values in domain go to configure camera module, when recording Quick Response Code recognition result and identification under the configuration of this gain values
Between.Memory is automatically logged into according to the coordinated scheme that probability calculation recognition result and recognition time are optimal, and this scheme
In.Until running into the difference angle value next time, the gain values of last time are directly invoked.
Generally, by experimental data matching and self-learning algorithm calculate obtain difference angle value and gain values into
Positive correlation.
Refering to Fig. 2, present invention additionally comprises a kind of identification of bar code image, including:
Image collection module, for obtaining the continuous bar code image information of at least two frames;
Characteristic vector pickup module, the characteristic vector for extracting the two field pictures;
Angle value computing module is distinguished, for the difference angle value according to two field pictures before and after the calculating of the characteristic vector of extraction;
Time for exposure computing module, for calculating the time for exposure, when the difference angle value is more than predetermined threshold, according to area
Other angle value calculates the time for exposure for needing to configure, and the difference angle value and time for exposure are into negative correlation;When the difference angle value is less than
Or during equal to predetermined threshold, the time for exposure for needing to configure is calculated according to brightness of image.
A kind of common application terminal of the present invention is mobile barcode scanning terminal, but is not meant to be only applicable to move barcode scanning end
End.More possible application modes, such as:Including the payment terminal integrated with wired or wireless POS, large-scale payment knot
Machine is calculated, the ATM in bank with scanning demand, and various needs are by scanning Quick Response Code, bar code or following possibility
Information bar code, to carry out the device of data association (including payment and settlement function or other functions).
But as a kind of preferred embodiment, the present invention provides a kind of pattern recognition device, including:
Camera module, for shooting bar code image information.The camera module includes the conventional camera lens with shutter
Module, photo-sensitive cell CMOS chip and circuit module etc..
CPU, it is adaptable to realize each instruction;
Storage device, suitable for storing a plurality of instruction, the instruction is applied to be loaded and performed by CPU:
Realized and such as given an order with upper-part:Obtain the continuous bar code image information of at least two frames;Extract the two field pictures
Characteristic vector;The difference angle value of two field pictures before and after being calculated according to the characteristic vector of extraction;When the difference angle value is more than in advance
When determining threshold value, the time for exposure for needing to configure is calculated according to difference angle value, the difference angle value and time for exposure are into negative correlation;Work as institute
When stating difference angle value less than or equal to predetermined threshold, the time for exposure for needing to configure is calculated according to brightness of image;Described shooting
Head module is configured according to the time for exposure of calculating.
Under conventional use environment, the bar code image that the terminal is used to recognize is formed on the terminal screen with automatic light source
On, it is 1ms-30ms that the device, which calculates the exposure time range obtained,.In most cases, it is full under the exposure time range
The demand of foot Quick Response Code identification, particularly in the case where Quick Response Code has variable condition, the terminal still ensures that larger be identified as
Power.
The device of the present invention also adopts the configuration for realizing exposure gain with the following method:When the difference angle value is more than predetermined threshold
During value, the exposure gain for needing to configure is calculated always according to difference angle value, the difference angle value and exposure gain are into positive correlation;When described
When distinguishing angle value less than or equal to predetermined threshold, the exposure gain for needing to configure is calculated according to brightness of image;Described camera
Module is configured according to the exposure gain of calculating.
It should be further stated that, use time for exposure and design of the difference degree for inverse proportion due to preferential under this method
Design, if meaning that target object motion change is big, the time for exposure is few, and the light of entrance is also few, although can recognize
Most of image in 2 D code, but this method proposes that can suitably increase exposure gain (increases the photaesthesia of photosensitive equipment simultaneously
Degree) to improve discrimination the problem of.It should say, under the application scenarios that barcode scanning is paid, by increasing exposure gain, rather than
It is preferred that increasing the time for exposure, discrimination often can be more improved.
The announcement and teaching of book according to the above description, those skilled in the art in the invention can also be to above-mentioned embodiment party
Formula is changed and changed.Therefore, the invention is not limited in embodiment disclosed and described above, to the present invention's
Some modifications and changes should also be as falling into the scope of the claims of the present invention.Although in addition, being used in this specification
Some specific terms, but these terms are merely for convenience of description, do not constitute any limitation to the present invention.
Claims (10)
1. a kind of bar code image recognition methods, it is characterised in that including:
Obtain the continuous bar code image information of at least two frames;
Extract the characteristic vector of the two field pictures;
The difference angle value of two field pictures before and after being calculated according to the characteristic vector of extraction;
When the difference angle value is more than predetermined threshold, the time for exposure for needing to configure, the difference degree are calculated according to difference angle value
Value is with the time for exposure into negative correlation;When the difference angle value is less than or equal to predetermined threshold, needs are calculated according to brightness of image
The time for exposure of configuration.
2. recognition methods according to claim 1, it is characterised in that the step of extracting image feature vector includes, and will scheme
As being divided into multiple images block, the gray average for calculating each image block obtains obtaining array b after array a, normalized, institute
The array b stated as image characteristic vector.
3. recognition methods according to claim 2, it is characterised in that the calculation formula of the difference angle value d is:
4. recognition methods according to claim 1, it is characterised in that described when the difference angle value is more than predetermined threshold
When, it is 1ms-30ms to calculate the exposure time range obtained.
5. recognition methods according to claim 1, it is characterised in that when the difference angle value is more than predetermined threshold, also
The exposure gain for needing to configure according to difference angle value matching, the difference angle value and exposure gain value are into positive correlation.
6. recognition methods according to claim 1, it is characterised in that the recognition methods is in constantly circulation, until knowing
Not Cheng Gong, or reach identification end condition.
7. a kind of bar code image identifying system, it is characterised in that including:
Image collection module, for obtaining the continuous bar code image information of at least two frames;
Characteristic vector pickup module, the characteristic vector for extracting the two field pictures;
Angle value computing module is distinguished, for the difference angle value according to two field pictures before and after the calculating of the characteristic vector of extraction;
Time for exposure computing module, for calculating the time for exposure, when the difference angle value is more than predetermined threshold, according to difference degree
Value calculates the time for exposure for needing to configure, and the difference angle value and time for exposure are into negative correlation;When the difference angle value is less than or waits
When predetermined threshold, the time for exposure for needing to configure is calculated according to brightness of image;
Also include exposure gain computing module, when the difference angle value is more than predetermined threshold, needed always according to difference angle value matching
The exposure gain to be configured, the difference angle value and exposure gain value are into positive correlation.
8. a kind of bar code image identifying device, including
Camera module, for shooting bar code image information;
CPU, it is adaptable to realize each instruction;
Storage device, suitable for storing a plurality of instruction, the instruction is applied to be loaded and performed by CPU:Obtain at least
The continuous bar code image information of two frames;Extract the characteristic vector of the two field pictures;Before and after being calculated according to the characteristic vector of extraction
The difference angle value of two field pictures;When the difference angle value is more than predetermined threshold, the exposure for needing to configure is calculated according to difference angle value
Between light time, the difference angle value and time for exposure are into negative correlation;When the difference angle value is less than or equal to predetermined threshold, according to figure
Image brightness calculates the time for exposure for needing to configure;
Described camera module is configured according to the time for exposure of calculating.
9. device according to claim 8, it is characterised in that the terminal is formed on for the bar code image of identification to be had
On the terminal screen of automatic light source, it is 1ms-30ms that the device, which calculates the exposure time range obtained,.
10. device according to claim 8, it is characterised in that when the difference angle value is more than predetermined threshold, always according to
Distinguish angle value and calculate the exposure gain for needing to configure, the difference angle value and exposure gain are into positive correlation;When the difference angle value is small
When predetermined threshold, the exposure gain for needing to configure is calculated according to brightness of image;Described camera module is according to meter
The exposure gain of calculation is configured.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710436084.7A CN107273779A (en) | 2017-06-12 | 2017-06-12 | A kind of bar code image recognition methods, system and device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710436084.7A CN107273779A (en) | 2017-06-12 | 2017-06-12 | A kind of bar code image recognition methods, system and device |
Publications (1)
Publication Number | Publication Date |
---|---|
CN107273779A true CN107273779A (en) | 2017-10-20 |
Family
ID=60066050
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710436084.7A Pending CN107273779A (en) | 2017-06-12 | 2017-06-12 | A kind of bar code image recognition methods, system and device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107273779A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116432677A (en) * | 2023-06-12 | 2023-07-14 | 北京紫光青藤微系统有限公司 | Method and device for identifying bar code, controller and bar code identification terminal |
Citations (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1474621A (en) * | 2002-07-24 | 2004-02-11 | Portable terminal device, program for reading information and record medium of record program | |
CN101031033A (en) * | 2006-03-03 | 2007-09-05 | 奥林巴斯映像株式会社 | Imaging apparatus and imaging method |
CN101060591A (en) * | 2006-04-18 | 2007-10-24 | 富士通株式会社 | Camera shake correction method, image shooting device and storage medium for the same |
CN101447078A (en) * | 2008-12-10 | 2009-06-03 | 东软集团股份有限公司 | Method for obstacle segmentation and device thereof |
CN101930609A (en) * | 2010-08-24 | 2010-12-29 | 东软集团股份有限公司 | Approximate target object detecting method and device |
CN102457675A (en) * | 2010-10-27 | 2012-05-16 | 展讯通信(上海)有限公司 | Image shooting anti-shaking manner for handheld camera equipment |
CN103595937A (en) * | 2013-11-20 | 2014-02-19 | 北京象开科技有限公司 | Bar code decoding system and method based on rolling shutter CMOS sensor |
CN104054090A (en) * | 2012-01-15 | 2014-09-17 | 讯宝科技公司 | Decoding barcodes displayed on cell phone |
CN104853113A (en) * | 2015-05-15 | 2015-08-19 | 零度智控(北京)智能科技有限公司 | Adaptive camera exposure time adjustment device and method |
CN105450936A (en) * | 2014-05-30 | 2016-03-30 | 杭州海康威视数字技术股份有限公司 | Method and device for intelligently adjusting camera during automatic exposure |
CN105637526A (en) * | 2013-08-26 | 2016-06-01 | 讯宝科技公司 | Method of controlling exposure on barcode imaging scanner with rolling shutter sensor |
CN105681626A (en) * | 2016-02-25 | 2016-06-15 | 广东欧珀移动通信有限公司 | Detection method, control method, detection device, control device and electronic device |
CN105744116A (en) * | 2016-02-25 | 2016-07-06 | 广东欧珀移动通信有限公司 | Detection method, control method, detection device, control device and electronic device |
CN105976001A (en) * | 2016-05-19 | 2016-09-28 | 杭州博安实业有限公司 | False-proofing license plate making QR code and serial number identifier identification method |
CN106327520A (en) * | 2016-08-19 | 2017-01-11 | 苏州大学 | Moving object detection method and system |
-
2017
- 2017-06-12 CN CN201710436084.7A patent/CN107273779A/en active Pending
Patent Citations (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1474621A (en) * | 2002-07-24 | 2004-02-11 | Portable terminal device, program for reading information and record medium of record program | |
CN101031033A (en) * | 2006-03-03 | 2007-09-05 | 奥林巴斯映像株式会社 | Imaging apparatus and imaging method |
CN101060591A (en) * | 2006-04-18 | 2007-10-24 | 富士通株式会社 | Camera shake correction method, image shooting device and storage medium for the same |
CN101447078A (en) * | 2008-12-10 | 2009-06-03 | 东软集团股份有限公司 | Method for obstacle segmentation and device thereof |
CN101930609A (en) * | 2010-08-24 | 2010-12-29 | 东软集团股份有限公司 | Approximate target object detecting method and device |
CN102457675A (en) * | 2010-10-27 | 2012-05-16 | 展讯通信(上海)有限公司 | Image shooting anti-shaking manner for handheld camera equipment |
CN104054090A (en) * | 2012-01-15 | 2014-09-17 | 讯宝科技公司 | Decoding barcodes displayed on cell phone |
CN105637526A (en) * | 2013-08-26 | 2016-06-01 | 讯宝科技公司 | Method of controlling exposure on barcode imaging scanner with rolling shutter sensor |
CN103595937A (en) * | 2013-11-20 | 2014-02-19 | 北京象开科技有限公司 | Bar code decoding system and method based on rolling shutter CMOS sensor |
CN105450936A (en) * | 2014-05-30 | 2016-03-30 | 杭州海康威视数字技术股份有限公司 | Method and device for intelligently adjusting camera during automatic exposure |
CN104853113A (en) * | 2015-05-15 | 2015-08-19 | 零度智控(北京)智能科技有限公司 | Adaptive camera exposure time adjustment device and method |
CN105681626A (en) * | 2016-02-25 | 2016-06-15 | 广东欧珀移动通信有限公司 | Detection method, control method, detection device, control device and electronic device |
CN105744116A (en) * | 2016-02-25 | 2016-07-06 | 广东欧珀移动通信有限公司 | Detection method, control method, detection device, control device and electronic device |
CN105976001A (en) * | 2016-05-19 | 2016-09-28 | 杭州博安实业有限公司 | False-proofing license plate making QR code and serial number identifier identification method |
CN106327520A (en) * | 2016-08-19 | 2017-01-11 | 苏州大学 | Moving object detection method and system |
Non-Patent Citations (3)
Title |
---|
曹照: "《索尼微单摄影从新手到高手》", 31 December 2014 * |
电脑报社: "《数码玩家》", 31 May 2005 * |
赵小川: "《MATLAB图像处理 能力提高与应用案例》", 31 January 2014 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116432677A (en) * | 2023-06-12 | 2023-07-14 | 北京紫光青藤微系统有限公司 | Method and device for identifying bar code, controller and bar code identification terminal |
CN116432677B (en) * | 2023-06-12 | 2023-09-26 | 北京紫光青藤微系统有限公司 | Method and device for identifying bar code, controller and bar code identification terminal |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110149482B (en) | Focusing method, focusing device, electronic equipment and computer readable storage medium | |
US11461910B2 (en) | Electronic device for blurring image obtained by combining plural images based on depth information and method for driving the electronic device | |
US8363933B2 (en) | Image identification method and imaging apparatus | |
CN113766125B (en) | Focusing method and device, electronic equipment and computer readable storage medium | |
CN110580428A (en) | image processing method, image processing device, computer-readable storage medium and electronic equipment | |
KR102566998B1 (en) | Apparatus and method for determining image sharpness | |
CN108960290A (en) | Image processing method, device, computer readable storage medium and electronic equipment | |
US9058655B2 (en) | Region of interest based image registration | |
CN106709895A (en) | Image generating method and apparatus | |
CN108076278A (en) | A kind of Atomatic focusing method, device and electronic equipment | |
JP2013117969A (en) | System and method for generating robust depth map utilizing multiple resolution procedure | |
CN110248101B (en) | Focusing method and device, electronic equipment and computer readable storage medium | |
CN109413411B (en) | Black screen identification method and device of monitoring line and server | |
CN101834986A (en) | Imaging device, mobile body detecting method, mobile body detecting circuit and program | |
CN111526342B (en) | Image processing method, device, camera, terminal and storage medium | |
EP3481052A1 (en) | Electronic device for processing image based on priority and method for operating thereof | |
CN110728705B (en) | Image processing method, image processing device, storage medium and electronic equipment | |
CN110705532A (en) | Method, device and equipment for identifying copied image | |
CN111028276A (en) | Image alignment method and device, storage medium and electronic equipment | |
CN106454100A (en) | Focusing method and device and mobile terminal | |
CN113313626A (en) | Image processing method, image processing device, electronic equipment and storage medium | |
CN109068060A (en) | Image processing method and device, terminal device, computer readable storage medium | |
CN110365897B (en) | Image correction method and device, electronic equipment and computer readable storage medium | |
CN113674303A (en) | Image processing method, image processing device, electronic equipment and storage medium | |
CN107273779A (en) | A kind of bar code image recognition methods, system and device |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20171020 |
|
RJ01 | Rejection of invention patent application after publication |