CN104573601A - Device DPM two-dimensional code recognition system under complex environment - Google Patents
Device DPM two-dimensional code recognition system under complex environment Download PDFInfo
- Publication number
- CN104573601A CN104573601A CN201310515759.9A CN201310515759A CN104573601A CN 104573601 A CN104573601 A CN 104573601A CN 201310515759 A CN201310515759 A CN 201310515759A CN 104573601 A CN104573601 A CN 104573601A
- Authority
- CN
- China
- Prior art keywords
- dpm
- code
- quick response
- response code
- image
- 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
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 48
- 239000000463 material Substances 0.000 claims abstract description 6
- 230000004044 response Effects 0.000 claims description 71
- 238000000034 method Methods 0.000 claims description 48
- 230000008569 process Effects 0.000 claims description 14
- UONOETXJSWQNOL-UHFFFAOYSA-N tungsten carbide Chemical compound [W+]#[C-] UONOETXJSWQNOL-UHFFFAOYSA-N 0.000 claims description 4
- 238000012937 correction Methods 0.000 abstract description 17
- 238000012545 processing Methods 0.000 abstract description 10
- 230000008901 benefit Effects 0.000 abstract description 8
- 238000005286 illumination Methods 0.000 abstract description 5
- 230000002411 adverse Effects 0.000 abstract description 4
- 238000013461 design Methods 0.000 description 17
- 238000005516 engineering process Methods 0.000 description 16
- 238000011160 research Methods 0.000 description 10
- 238000010586 diagram Methods 0.000 description 9
- 238000001514 detection method Methods 0.000 description 5
- 230000011218 segmentation Effects 0.000 description 5
- 238000011161 development Methods 0.000 description 4
- 230000018109 developmental process Effects 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 239000000306 component Substances 0.000 description 3
- 230000007797 corrosion Effects 0.000 description 3
- 238000005260 corrosion Methods 0.000 description 3
- 238000005530 etching Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000002347 injection Methods 0.000 description 3
- 239000007924 injection Substances 0.000 description 3
- 239000000203 mixture Substances 0.000 description 3
- 230000009466 transformation Effects 0.000 description 3
- 238000009825 accumulation Methods 0.000 description 2
- 238000004220 aggregation Methods 0.000 description 2
- 230000002776 aggregation Effects 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 230000035939 shock Effects 0.000 description 2
- 230000003044 adaptive effect Effects 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 235000019994 cava Nutrition 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 239000008358 core component Substances 0.000 description 1
- 238000005520 cutting process Methods 0.000 description 1
- 230000006378 damage Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000005242 forging Methods 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 239000004615 ingredient Substances 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000002045 lasting effect Effects 0.000 description 1
- 230000004807 localization Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 229910052751 metal Inorganic materials 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 238000003909 pattern recognition Methods 0.000 description 1
- 238000012552 review Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 239000000243 solution Substances 0.000 description 1
- 238000000638 solvent extraction Methods 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 208000011580 syndromic disease Diseases 0.000 description 1
- 238000005494 tarnishing Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Landscapes
- Image Analysis (AREA)
Abstract
The invention discloses a device DPM two-dimensional code recognition system under a complex environment, which relates to a set of automatic recognition system consisting of coding equipment, recognition equipment, a recognition algorithm and the like, and realizes a series of links such as image acquisition, automatic recognition, error correction decoding and the like of a DPM two-dimensional code in a mode of fusing multi-subject cross-field algorithms such as computer vision, mode recognition, image processing and the like, so that the advantages of each subject algorithm are fully exerted, and the adverse conditions such as uneven illumination, low contrast, fuzzy image, rough material, stained two-dimensional code and the like in an image are pertinently and mainly overcome, thereby achieving the purpose of accurately and quickly recognizing and reading the DPM two-dimensional code.
Description
Technical field
The present invention relates to Internet of Things field.
Background technology
Along with planar bar code technology develop rapidly, the continuous expansion of range of application, continuing deeply of Quick Response Code automatic identification technology research, builds and is specific to industrial DPM (Direct Part Mark) Quick Response Code automatic recognition system and the demand of its industrialization is day by day strong.The necessity of key technology research and industrialization thereof is mainly reflected in:
(1) fast development of planar bar code technology industry, the acquisition technology ripe statistics according to the professional research institution VDC (Venture Development Corp.) of the U.S. day by day, global Two-Dimensional code market scale is always in lasting steady-state growth.By 2010, the market scale of global Two-Dimensional code technical equipment reached 19,500,000,000 dollars, and its area, Central America annual average rate of increase will more than 6%, and Europe, the Middle East and African Territories annual average rate of increase are close to 7%, and Asian-Pacific area annual average rate of increase will reach 12%.The prospect of international planar bar code technology industry is in the ascendant.
Acquisition technology ripe day by day, the telling to develop into of picture processing chip adopts the mode of camera collection image in 2 D code to add power.The impact of DPM Quick Response Code automatic recognition system by using digital image processing techniques to reduce the factor such as picture noise, external disturbance.Meanwhile, digital image processing techniques also can increase the reliability of recognition result, the dirigibility of recognition mode and ensure recognition speed and efficiency.
(2) DPM Quick Response Code irreplaceability in the industry
Conventional two-dimensional bar code is use printing means to realize substantially, in view of the paper products of printing easily wear and tear, fuzzy and become not readable, easy loss, do not support that Life cycle reviews ability, the shortcoming such as irredundant.DPM Quick Response Code is then beat the industrial means such as shock, galvanic corrosion by laser-induced thermal etching, machine to realize.These means reflect the maximum feature of of DPM Quick Response Code: permanent.Permanently refer under parts are in unfavorable or severe environmental conditions, direct parts mark can realize parts that are permanent, Life cycle and follow the tracks of.For industrial products, after use DPM Quick Response Code, product attribute label is no longer provisional identification, but identifies throughout one's life.From standing cost benefit, compared with stand-alone item label, the Life cycle of DPM Quick Response Code is followed the tracks of and is had higher cost benefit.DPM Quick Response Code coding has the advantages such as " embedded " information in uniqueness, parts, can prevent from forging, reduce by the risk of mountain vallage.DPM Quick Response Code can help enterprise to realize storage controlling simultaneously, improves Real time visible, with tracking unit and saving stock.Adopt that the method has compared with laser-induced thermal etching, galvanic corrosion that initial cost is low, transportability and the feature such as permanent, the cost can evading laser-induced thermal etching is high, size greatly, not Portable belt and the permanent difference of galvanic corrosion, need to consume consumptive material, be only applicable to the shortcomings such as metal device.Meanwhile, machine is beaten and is clashed into DPM Quick Response Code that coded system obtains other caves in and obscures easily and in background, exacerbates the difficulty of identification.
Therefore compared with conventional two-dimensional code, DPM Quick Response Code has irreplaceability in industry manufacture field, and develop a set of DPM Quick Response Code automatic recognition system with independent intellectual property right by the benefit that raises the cost for enterprise, realize automated warehouse management, reduce the risk that is forged and realize international management and do one's bit.
(3) DPM Quick Response Code background is complicated, distinguish difficult DPM two-dimensional code generation method and use the diversity of material to cause the situations (Fig. 1) such as the uneven illumination occurred in low, the many noise of its image in 2 D code ubiquity contrast, background complexity, gatherer process, identify that such Quick Response Code is a difficult problem quickly and accurately.At present in academic research rarely seen be suitable for complex background, low contrast, can flexible DPM recognizer.
(4) Related product is few, expensive
How common existing market is based on printing Quick Response Code, the recognition technology algorithm of the printing Quick Response Code better to quality, clear picture, contrast are higher is mature on the whole, the single image processing algorithm of many employings can reach requirement Quick Response Code identification business application software, and specialty is used for industrial DPM Quick Response Code Study of recognition and application is less.And Related product mostly is external product, recognizer is integrated in the middle of scanner, does not open to the outside world by patent protection.Product is treated and is known the strict demand that object has the aspect such as direction, contrast, and the index of recognition rate is also fuzzy indefinite, and expensive.Although relevant Quick Response Code is had automatically to identify enterprise domestic, Dou Shi system integrator substantially., also there be a large amount of input in the large enterprises of some domestic well-known IT circles to DPM Quick Response Code automatic identification technology, but the autonomy-oriented of final unrealized core technology.DPM Quick Response Code as shown in Figure 1 under mal-condition, (a) for uneven illumination (b) for contrast low (c) for over-exposed (d) bar code fuzzy (e) for convex-concave surface (f) be bar code pollute
Therefore, further investigate the gordian technique that DPM Quick Response Code identifies automatically and and develop the DPM Quick Response Code automatic recognition system with independent intellectual property right and domestic bar code is applied be significant.The present invention is directed to above problem, set up a set of from by encoding device, identification equipment, the automatic recognition system of the composition such as recognizer, and by computer vision, pattern-recognition, the mode that the multidisciplinary cross-cutting algorithm such as image procossing merges mutually is to realize the image acquisition of DPM Quick Response Code, automatic identification, a series of link such as error-correcting decoding, give full play to the advantage of each subject algorithm, the uneven illumination overcome in image of targeted also emphasis, contrast is low, image blurring, material is coarse, Quick Response Code is stained waits adverse condition, thus reach accurate, the object of quick recognition DPM Quick Response Code.
Summary of the invention
The present invention is intended to set up a set of industrial Internet of Things DPM Quick Response Code recognition system with independent intellectual property right, by DPM encoding device, forms based on the embedded automatic recognition platform of android system and automatic identification algorithm three part.BROAD SUMMARY relates to the following aspects:
(1) DPM Quick Response Code encoding device
The mode that the present invention obtains DPM Quick Response Code adopts machine to beat the method for shock, and its principle drives tungsten carbide impact pin to move up and down, to form the permanent indenture of material surface by stepper motor and electronic controller.The present invention will build a set of DPM Quick Response Code encoding device, write control step motor and motion algorithm of having an injection according to input content and international encoding standards, ensure the precision of coding, realize accurate, fast coding.
(2) based on the embedded automatic recognition Platform Designing of android system
The present invention designs carries the embedded hardware system of android system, for the image acquisition of DPM Quick Response Code, process and display.Algorithm can be used in intelligent terminal by ARM+Android system+camera, meets current fashion trend, and development board cost is lower, and practicality is good.
(3) DPM Quick Response Code automatic identification algorithm research
DPM Quick Response Code automatic identification algorithm is the core content that the present invention studies, and comprising:
1. DPM two-dimension code area localization method research
For this object to be identified be embedded in complex background of DPM Quick Response Code, location is the core point in the middle of recognition technology accurately and rapidly.Start with from the feature analyzing DPM Quick Response Code, propose a kind of method that Corner Detection combines with clustering algorithm to locate the DPM two-dimension code area under complex background.Because DPM Quick Response Code uses bright secretly alternate rectangular grid beared information, in whole two-dimension code area, right angle electrical frequently occurs, and the complex background be compared to residing for DPM Quick Response Code and periphery chaff interference, the angle point intensity of the latter is more weak, angle point distribution is discrete, angle point accumulation area shape is indefinite, differs greatly with two-dimension code area.Therefore using the information source of the characteristic feature angle point of image in 2 D code as location, improve angular-point detection method to accelerate algorithm speed and to remove pseudo-angle point for the adverse condition in image simultaneously.The angle point of DPM image in 2 D code is assembled with tufted, is suitable for the use of clustering method, and has worked in coordination with the location of DPM two-dimension code area in conjunction with the outward flange aggregation features of DPM image in 2 D code.
2. Quick Response Code code element recognizer research
After the two-dimension code area of accurate location, needing accurately to mark off Quick Response Code minimum unit--code element, just can extract its specifying information comprised, complete the identification of Quick Response Code content.This content is mainly concerned with the research of Accurate Segmentation scheduling algorithm of binaryzation, slant correction, code element.The mode that binarization method will adopt the method for overall binaryzation and local binarization to organically combine, the advantage of set two kinds of methods, overcomes overall binaryzation simultaneously and can not solve uneven illumination and the obvious problem of local binarization method blocking effect.Due in the middle of image acquisition process, image inclination is can hardly be avoided, and therefore adopts edge gradient and bilinearity difference approach to correct this problem, ensures Accurate Segmentation and the location of Quick Response Code code element.Code element partitioning algorithm will make full use of DPM Quick Response Code edge local symbol feature, adopt gridding method and Central Point Method to calculate symbol width and central point division code element, identify code element content.
3. decoding error correction algorithm research
Decoding error correction is the important step of Quick Response Code identification, and the present invention will propose innovatory algorithm, to reach the object of fast decoding error correction.At present, the Reed-Solomon code error correction algorithm that Quick Response Code adopts calculates comparatively complicated, the problems such as a large amount of mathematical computations realizations of longer, many use computing time, the present invention proposes a kind of error correction method of the Reed-Solomon code based on wavelet transformation, it carries out wavelet transformation to receiving code, search rule is coordinated to locate the errors present of code element in Serial No., and then amendment error code.Algorithm essence is that the solution procedure of complexity is transformed into wavelet field, the Serial No. of Reed-Solomon code is carried out wavelet domain transform, the dimension solving error location polynomial is reduced from data source header, reach the object reducing calculated amount and complexity, effectively can simplify calculation procedure complicated in traditional algorithm.
Accompanying drawing illustrates:
Fig. 1 is the DPM Quick Response Code under mal-condition
Fig. 2 is DPM Quick Response Code automatic recognition system design frame chart
Fig. 3 is the hardware design block diagram of encoding device
Fig. 4 is automatic Identification platform hardware block diagram
Fig. 5 is automatic identification algorithm process flow diagram
Fig. 6 is code element recognizer process flow diagram
Fig. 7 is error-correcting decoding method process flow diagram
Embodiment
The technology path of 5.1 projects
DPM Quick Response Code automatic recognition system is made up of encoding device, automatically Identification platform and automatic identification algorithm three part.Wherein, encoding device is the front-end equipment obtaining DPM Quick Response Code, is that the prerequisite automatically identified ensures with effective.Automatic Identification platform is based on android system, by ARM11 be core embedded imaging system based on, the collection of primary responsibility image in 2 D code and display work; Automatic identification algorithm take image processing techniques as core, fusion mode identification scheduling algorithm, realizes the function such as Image semantic classification, two-dimension code area location, Quick Response Code identifies automatically, decoding error correction, acquisition of information; After above-mentioned software and hardware work completes, also need to carry out function and reliability testing to system, in the hope of meeting international standards and ROSH standards system.Automatic recognition system global design block diagram as shown in Figure 2.
5.1.1 hardware design
(1) encoding device design
DPM Quick Response Code encoding device is primarily of three part compositions such as stepper motor, electronic controller and tungsten carbide impact pins, electronic controller is the core component of encoding device, be mainly used in controlling moving up and down of having an injection of tungsten carbide, form the indenture of the depth at component surface, composition DPM Quick Response Code.The effect of stepper motor drives motion of having an injection, the direction of controlled motion and precision.The hardware design block diagram of encoding device as shown in Figure 3.
(2) Identification platform design automatically
Automatic Identification platform by image capture module, image processing module, image display and power management module four part form (Fig. 4), design procedure is followed successively by:
1. Design of image capture system:
Image capture module mainly comprises the content such as camera lens and supplementary lighting sources performance evaluation, type selecting, experiment.This stage needs the camera lens correlation parameter different to resolution to carry out assessment and analysis, choose the model of applicable automatic recognition system, and mode checks the performance of camera lens and supplementary lighting sources whether good by experiment.
2. image processing module design:
Suitable types is selected in the selection relating generally to picture processing chip, and the present invention adopts current low-power consumption, processes ARM11 embedded system rapidly, and carries the android system that of many uses, code increases income, and enables product adapt to the application of mobile platform.
3. image display design:
According to different industries feature, select different displays and the way of output, realize the display of the contents such as image in 2 D code, Output rusults, miscue, and coordinate the human-computer interaction interface developed in android system, for client improves close friend, easy-to-use product.
4. power management module:
Power supply function is analyzed, and selects model, and does corresponding electromagnetic compatibility analysis, ensure that the coordination of each intermodule uses and meets international standard, improves the reliability of product;
5. product design
Product design comprises shelling machine, designs and meets ergonomics, is simple and easy to use, and degree of protection shell that is high, that meet industrial standard is the indispensable ingredient of automatic recognition system.
5.1.2 automatic identification algorithm design
The method flow that automatic identification DPM bar code relates to can be divided into following five steps: bar code image collection, Image semantic classification, and the barcode size or text field is located, Quick Response Code code element Precision Orientation Algorithm, bar code decoding error correction, and result shows.The present invention adopts has the recognizer technology of independent intellectual property right, can quick position two-dimension code area, the inner code element of segmentation Quick Response Code, and by decoding error correction algorithm, makes up defect phenomenon.Compared with traditional algorithm, with the obvious advantage on discrimination and recognition time.Fig. 5 is automatic identification algorithm process flow diagram.
(1) Image semantic classification
Image semantic classification mainly refers to and carries out gray processing conversion to image, according to importance and other index, is weighted on average by three components with different weights.Because the sensitivity of human eye to green is the highest, minimum to blue-sensitive, therefore, by following formula, average energy is weighted to RGB three-component and obtains more rational gray level image.
f(i,j)=0.30R(i,j)+0.59G(i,j)+0.11B(i,j))
(1) DPM two-dimension code area location
How key point and the difficult point that DPM two-dimension code area is recognition technology is accurately located in the middle of this flow process.And for this object to be identified be embedded in complex background of DPM Quick Response Code, locate the core point in the middle of recognition technology especially accurately and rapidly.
The feature studied from analyzing DPM Quick Response Code is started with, and proposes a kind of method that Quick Response Code feature extraction combines with clustering algorithm to locate the DPM two-dimension code area under complex background.Therefore using the information source of the characteristic feature of image in 2 D code as location, improve feature extracting method to accelerate algorithm speed for the adverse condition in image simultaneously.The feature of DPM image in 2 D code is assembled with tufted, is suitable for the use of clustering method, and has worked in coordination with the location of DPM two-dimension code area in conjunction with the outward flange aggregation features of DPM image in 2 D code.Because DPM Quick Response Code uses bright secretly alternate rectangular grid beared information, in whole two-dimension code area, right angle electrical frequently occurs and is gathered into rectangle or quadrilateral (during distortion), and the complex background be compared to residing for DPM Quick Response Code and periphery chaff interference, the angle point intensity of the latter is more weak, angle point distribution is discrete, angle point accumulation area shape is indefinite, assembles, be suitable for the use of clustering method with the differ greatly angle point of .DPM image in 2 D code of two-dimension code area with tufted.
The method comparison of locating with traditional Quick Response Code is known, the location algorithm that the present invention adopts is coarse for superficial makings, the DPM image in 2 D code that noise spot is more mixed and disorderly, the noise spot of coarse texture does not have Corner Feature, therefore when Corner Detection, these noise spots are filtered off, thus reach the object of denoising.Due to the feature of image in 2 D code itself, its Corner Feature is obvious, uses Quick Response Code method computation complexities such as rim detection of comparing in Corner Detection Algorithm location to reduce, more flexibly, more easily calculates and operate.
Clustering algorithm can assemble the angle point on DPM image in 2 D code effectively, and the angle point beyond image in 2 D code will be aggregated as other classification, thus reaching cluster location object. the adjustable of clustering algorithm key parameter also adds the dirigibility of algorithm to a certain extent, widen the usable range of algorithm, angle point situation for different situations can also make corresponding adjustment, enhances the ease for use of algorithm.Accelerating the process of total algorithm with supervision mechanism clustering algorithm, providing strong guarantee for locating two-dimension code area fast.
(2) code element recognizer realizes
Image in 2 D code binaryzation is corrected tilted image, on this basis inner code element is split, obtain the minimum code element of Quick Response Code, for error-correcting decoding is prepared.After the two-dimension code area of accurate location, need will accurately to orient Quick Response Code code element, just can extract its specifying information comprised.Wherein, the research of Accurate Segmentation scheduling algorithm of binaryzation, slant correction, code element is related to.The mode that binarization method will adopt histogram analysis and adaptive local Binarization methods to combine.Binaryzation basis is found Quick Response Code least unit--code element, uses the width of the method determination code element of grid division, uses Central Point Method need look for the center of code element.If in image acquisition process, image exists and geometry deformation, and employing edge gradient and linear interpolation method are corrected this problem by the present invention, ensures Accurate Segmentation and the identification of Quick Response Code code element.Flow process as shown in Figure 6.
(3) correcting interpretation algorithm realizes
Conventional two-dimensional code all adopts DPM Quick Response Code to be exposed to for a long time in the middle of printed matter surface and complicated operating mode, is easy to destruction of tarnishing.In order to reach the recognition effect of expection, except wanting two-dimension code structure reasonable in design, also need to adopt the strong error correction algorithm of error correcting capability to carry out error correction.Therefore, DPM Quick Response Code adopt Reed-Solomon code to carry out encoding, decoding and error correction.For optimizing Reed-Solomon error correction algorithm, improve error correction rate and the object of make-up time, the present invention improves from data source header Reed-Solomon code error correction procedure, wavelet transformation is carried out to the result after code element identification, simplify the dimension of syndrome, reduce the difficulty solving error location polynomial, and coordinate the search rule in iterative algorithm to determine the errors present of code element in Serial No., and then amendment error code.Process flow diagram as shown in Figure 7.
(4) algorithms library is transplanted
The present invention adopts C language to carry out writing of software section, the transplanting work in software algorithm storehouse is carried out by third party's instrument NDK, in Android application program, embed the unmanaged code of C/C++ language compilation, greatly improve the dirigibility of Android application development.
Claims (2)
1. a device DPM Quick Response Code recognition system under complex environment, is characterized in that: by DPM encoding device, form based on the embedded automatic recognition platform of android system and automatic identification algorithm three part.
2. device DPM Quick Response Code recognition system under a kind of complex environment according to claim 1, it is characterized in that: described DPM encoding device is used for driving tungsten carbide impact pin to move up and down by stepper motor and electronic controller, to form the permanent indenture of material surface, the described embedded automatic recognition platform based on android system is used for the image acquisition of DPM Quick Response Code, process and display.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310515759.9A CN104573601A (en) | 2013-10-28 | 2013-10-28 | Device DPM two-dimensional code recognition system under complex environment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310515759.9A CN104573601A (en) | 2013-10-28 | 2013-10-28 | Device DPM two-dimensional code recognition system under complex environment |
Publications (1)
Publication Number | Publication Date |
---|---|
CN104573601A true CN104573601A (en) | 2015-04-29 |
Family
ID=53089633
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201310515759.9A Pending CN104573601A (en) | 2013-10-28 | 2013-10-28 | Device DPM two-dimensional code recognition system under complex environment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104573601A (en) |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109325491A (en) * | 2018-08-16 | 2019-02-12 | 腾讯科技(深圳)有限公司 | Identification code recognition methods, device, computer equipment and storage medium |
CN110108714A (en) * | 2019-04-28 | 2019-08-09 | 浙江博拉自动化科技有限公司 | A kind of auto parts and components appearance detection system and device |
CN111259852A (en) * | 2020-01-31 | 2020-06-09 | 中国原子能科学研究院 | Identification system and identification method for nuclear power station component codes |
CN111428707A (en) * | 2020-06-08 | 2020-07-17 | 北京三快在线科技有限公司 | Method and device for identifying pattern identification code, storage medium and electronic equipment |
CN113449534A (en) * | 2021-06-28 | 2021-09-28 | 歌尔股份有限公司 | Two-dimensional code image processing method and device |
WO2022036482A1 (en) * | 2020-08-17 | 2022-02-24 | 江苏瑞科科技有限公司 | Technique of locating and reading dpm code on complex background |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20080006698A1 (en) * | 2003-11-13 | 2008-01-10 | Metrologic Instruments, Inc. | Method of and apparatus for dynamically and adaptively controlling system control parameters in a digital image capture and processing system |
CN102592376A (en) * | 2011-12-27 | 2012-07-18 | 福建鑫诺通讯技术有限公司 | Multifunctional handheld wireless financial POS (Point-of-sale) machine |
-
2013
- 2013-10-28 CN CN201310515759.9A patent/CN104573601A/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20080006698A1 (en) * | 2003-11-13 | 2008-01-10 | Metrologic Instruments, Inc. | Method of and apparatus for dynamically and adaptively controlling system control parameters in a digital image capture and processing system |
CN102592376A (en) * | 2011-12-27 | 2012-07-18 | 福建鑫诺通讯技术有限公司 | Multifunctional handheld wireless financial POS (Point-of-sale) machine |
Non-Patent Citations (1)
Title |
---|
YYLGZF: "DPM直接部件打标", 《HTTPS://WENKU.BAIDU.COM/VIEW/45609C0F844769EAE009EDB2.HTML》 * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109325491A (en) * | 2018-08-16 | 2019-02-12 | 腾讯科技(深圳)有限公司 | Identification code recognition methods, device, computer equipment and storage medium |
US11494577B2 (en) | 2018-08-16 | 2022-11-08 | Tencent Technology (Shenzhen) Company Limited | Method, apparatus, and storage medium for identifying identification code |
CN110108714A (en) * | 2019-04-28 | 2019-08-09 | 浙江博拉自动化科技有限公司 | A kind of auto parts and components appearance detection system and device |
CN111259852A (en) * | 2020-01-31 | 2020-06-09 | 中国原子能科学研究院 | Identification system and identification method for nuclear power station component codes |
CN111428707A (en) * | 2020-06-08 | 2020-07-17 | 北京三快在线科技有限公司 | Method and device for identifying pattern identification code, storage medium and electronic equipment |
WO2022036482A1 (en) * | 2020-08-17 | 2022-02-24 | 江苏瑞科科技有限公司 | Technique of locating and reading dpm code on complex background |
CN113449534A (en) * | 2021-06-28 | 2021-09-28 | 歌尔股份有限公司 | Two-dimensional code image processing method and device |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103530590B (en) | DPM Quick Response Code recognition system | |
CN108920580B (en) | Image matching method, device, storage medium and terminal | |
CN104573601A (en) | Device DPM two-dimensional code recognition system under complex environment | |
Wagner et al. | Pose tracking from natural features on mobile phones | |
Aldoma et al. | Multimodal cue integration through hypotheses verification for rgb-d object recognition and 6dof pose estimation | |
CN111444964B (en) | Multi-target rapid image matching method based on adaptive ROI (region of interest) division | |
CN113408584B (en) | RGB-D multi-modal feature fusion 3D target detection method | |
US20180253852A1 (en) | Method and device for locating image edge in natural background | |
CN105574161A (en) | Trademark graph element identification method, device and system | |
CN109101854A (en) | A kind of multiple barcode localization method | |
CN105389581A (en) | Germinated rice germ integrity intelligent identification system and identification method thereof | |
Zhang et al. | Detection and identification method of medical label barcode based on deep learning | |
CN110570442A (en) | Contour detection method under complex background, terminal device and storage medium | |
CN104899589A (en) | Method for realizing two-dimensional bar code preprocessing by using threshold binarization algorithm | |
CN105335760A (en) | Image number character recognition method | |
CN108961262A (en) | A kind of Bar code positioning method under complex scene | |
Hu et al. | A non-parametric statistics based method for generic curve partition and classification | |
CN114119695A (en) | Image annotation method and device and electronic equipment | |
CN111507177B (en) | Identification method and device for metering turnover cabinet | |
CN105405120A (en) | Method extracting cloud graph from sky image | |
CN104655041A (en) | Industrial part contour line multi-feature extracting method with additional constraint conditions | |
CN109741302B (en) | SD card form recognition system and method based on machine vision | |
CN111178111A (en) | Two-dimensional code detection method, electronic device, storage medium and system | |
Wang et al. | Conditional TransGAN‐Based Data Augmentation for PCB Electronic Component Inspection | |
CN116167394A (en) | Bar code recognition method and system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20150429 |
|
RJ01 | Rejection of invention patent application after publication |