CN104298953A - Method and system for recognizing barcodes in batches - Google Patents
Method and system for recognizing barcodes in batches Download PDFInfo
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- CN104298953A CN104298953A CN201410581908.6A CN201410581908A CN104298953A CN 104298953 A CN104298953 A CN 104298953A CN 201410581908 A CN201410581908 A CN 201410581908A CN 104298953 A CN104298953 A CN 104298953A
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Abstract
The invention discloses a method and system for recognizing barcodes in batches and belongs to barcode recognizing methods. The method includes the steps that S1, an image acquisition device acquires product images in a target region and transmits the product images to an industrial personal computer; S2, the industrial personal computer processes the current images and recognizes regions with the barcodes in the current images, decoding software is operated for decoding the barcodes in the images, and barcode recognition results are output after the barcodes are decoded, wherein the barcode recognition results at least comprise information of all the barcodes in the current images and the region positions of all the barcodes in the current images; S3, the industrial personal computer recognizes the region positions of the barcodes in the current images. The barcodes are read in an image acquisition mode so that all the barcodes in the image acquisition region can be read at a time, and the barcode scanning efficiency is effectively improved; meanwhile, the system is simple in structure, capable of being integrated with an external system through multiple structures, suitable for installation and use in various product production environments, and wide in application range.
Description
Technical field
The present invention relates to a kind of bar code recognition, in particular, the present invention relates generally to a kind of batch bar code recognition and system.
Background technology
At present, known bar-code identification mode once reads a bar code.In production link, in order to realize production run complete traceability, each product needs to carry out data acquisition by bar code.And some small product size is little and quantity is many (as medicine, chip, electronic module, battery etc.), manual scanning efficiency is low and easily make mistakes, trigger-type identifies the too high and complex structure of cost automatically, be not suitable for promoting the use of, be thus necessary do further research for existing Processing in Barcode Recognizing System and method and improve.
Summary of the invention
An object of the present invention is for above-mentioned deficiency, a kind of batch bar code recognition and system are provided, low and easily make mistakes to expect to solve manual scanning efficiency in prior art, trigger-type identifies the too high and complex structure of cost automatically, is not suitable for technical matterss such as applying.
For solving above-mentioned technical matters, the present invention by the following technical solutions:
One aspect of the present invention provides a kind of batch bar code recognition, and described method comprises:
The product image of step S1, image acquisition device target area also transfers to industrial computer;
Step S2, industrial computer process present image and identify in present image the region with bar code, the decoding software that reruns is decoded to the bar code in image, decoded rear output bar code recognition result, described bar-code identification result at least comprises each bar code information in present image and the regional location of each bar code in present image;
Step S3, industrial computer identify the regional location of bar code in present image.
As preferably, further technical scheme is that in described step S2, industrial computer comprises the operation that present image processes:
Step S211, gradation of image process;
Step S212, image filtering, smoothing processing;
Step S213, image binaryzation process;
Step S214, find the connected region in present image between bar code according to preset bar code feature, and according to connected region cutting present image;
Step S215, according to preset bar code Feature Selection cutting after image;
Barcode data after step S216, extraction screening.
Further technical scheme is: also comprise between described step S215 and step S216: the image after each cutting is again carried out on current basis gray scale, filtering, level and smooth, binary conversion treatment.
Further technical scheme is: the operation that in described step S2, industrial computer operation decoding software carries out decoding comprises one-dimension code decoding or/and Quick Response Code decoding.
Further technical scheme is: in described step S2, industrial computer runs decoding software when decoding to the bar code in image, also screens decoded result and mistake proofing operates, and described screening and mistake proofing operate and comprise:
Connected region in step S221, recognition image between bar code, identifies the quadrilateral in image, then identifies track according to quadrilateral according to connected region, then identifies the bar code met according to Orbit Matching;
Step S222, according to Orbit Matching recognition result screening fall incongruent bar code;
Step S223, utilize preset multiple bar code feature to carry out coupling error correction to current bar code information, and then optimize the bar code information in present image.
The present invention additionally provides a kind of batch Processing in Barcode Recognizing System of said method on the other hand, and described system comprises:
Image collecting device, described image collecting device access industrial computer, for gathering the product image of target area and transferring to industrial computer;
Industrial computer, for processing present image and identifying in present image the region with bar code, the decoding software that reruns is decoded to the bar code in image, rear output bar code recognition result of having decoded.
As preferably, further technical scheme: described system also comprises:
Light source, described light source access light source controller, described light source controller also accesses industrial computer by I/O control interface, for being passed through the open and close of I/O interface operation light-source controller controls light source by industrial computer;
Proximity transducer, described proximity transducer, by I/O interface access industrial computer, for being gathered the close transducing signal of output products by proximity transducer to industrial computer, controls image acquisition device present image by industrial computer.
Further technical scheme: described image collecting device and proximity transducer are installed near product line.
Compared with prior art, one of beneficial effect of the present invention is: carry out bar code reading by the mode of image acquisition, bar code in image acquisition region can be disposablely all read, also improve by screening and the mode of mistake proofing the accuracy that image barcode data extract, effectively improve the efficiency of bar code scan; A kind of batch Processing in Barcode Recognizing System structure provided by the present invention is simple simultaneously, and integrate by various structures and external system, be suitable for installing and using in various product production environment, range of application is wide.
Accompanying drawing explanation
Fig. 1 is the method flow schematic diagram for illustration of one embodiment of the invention;
Fig. 2 is the system architecture schematic diagram for illustration of another embodiment of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the present invention is further elaborated.
Shown in figure 1, one embodiment of the present of invention are a kind of batch bar code recognitions, and in the present embodiment, the method can operate in accordance with the following steps:
The product image (i.e. current scene photo) of step S1, image acquisition device target area also transfers to industrial computer;
Step S2, industrial computer process present image and identify in present image the region with bar code, the decoding software that reruns is decoded to the bar code in image, decoded rear output bar code recognition result, described bar-code identification result at least comprises each bar code information in present image and the regional location of each bar code in present image;
Step S3, industrial computer identify the regional location of bar code in present image.
In another embodiment of the invention, for promoting the accuracy of barcode data identification in image, for the operation that industrial computer in the step S2 of above-described embodiment processes present image, preferred step is:
Step S211, gradation of image process;
Step S212, image filtering, smoothing processing;
Step S213, image binaryzation process;
Step S214, find the connected region in present image between bar code according to preset bar code feature, and according to connected region cutting present image;
Step S215, according to preset bar code Feature Selection cutting after image;
Barcode data after step S216, extraction screening.
In the present embodiment, bar code reading is carried out by the mode of image acquisition, bar code in image acquisition region disposablely all can be read, effectively improve the efficiency of bar code scan, also improve by screening and the mode of mistake proofing the accuracy that image barcode data extract.
Further, for raising the accuracy of image recognition further, following steps can also be increased between above-mentioned steps S215 and step S216: the image after each cutting is again carried out on current basis gray scale, filtering, level and smooth, binary conversion treatment, and aforementioned gray scale, filtering, level and smooth, binary conversion treatment are preferably carried out in order successively.
On the other hand, go out as shown in Figure 1, again according to another embodiment of the present invention, although inventor considers when image procossing, bar code can be carried out cutting according to quadrilateral completely and reduce its sharpness, but different bar code is needed to the decode operation supplemented, therefore in above-mentioned steps S2, need at least integrated two kinds of different decoding softwares in industrial computer, to adapt to different bar code decodings, namely above-mentioned decode operation at least should comprise one-dimension code decoding (such as Code128, Code39, Code93), Quick Response Code decoding (Datamatrix, QR, or both are simultaneously integrated PDF47).
Shown in Fig. 1, inventor is in process of the test, although have employed above-mentioned image processing operations carry out processing to original image and cut, but in the identifying of reality, still may realize abnormal bar code or error code, based on aforesaid problem, invention also operate above-mentioned screening and mistake proofing and improves, and in the embodiment be namely more preferably for technical solution problem in the present invention, above-mentioned screening and mistake proofing operate preferred step and be:
Connected region in step S221, recognition image between bar code, identifies the quadrilateral in image, then identifies track according to quadrilateral according to connected region, then identifies the bar code met according to Orbit Matching;
Step S222, according to Orbit Matching recognition result screening fall incongruent bar code;
Step S223, utilize preset multiple bar code feature to carry out coupling error correction to current bar code information, and then optimize the bar code information in present image.
Shown in figure 2, based on the technical scheme of any one preferred embodiment above-mentioned, inventor also utilizes said method to construct a kind of batch Processing in Barcode Recognizing System on this basis, and this system comprises in the present embodiment:
Image collecting device, described image collecting device access industrial computer, for gathering the product image of target area and transferring to industrial computer;
Industrial computer, for processing present image and identifying in present image the region with bar code, the decoding software that reruns is decoded to the bar code in image, rear output bar code recognition result of having decoded.
According to another embodiment of the present invention, equally for the object promoting recognition accuracy, inventor also improves on the hardware configuration of system, namely on the basis of said system structure, light source is set up, and light source is accessed light source controller, make light source controller also by I/O control interface access industrial computer, for being passed through the open and close of I/O interface operation light-source controller controls light source by industrial computer; Also setting up proximity transducer simultaneously, by proximity transducer by I/O interface access industrial computer, for being gathered the close transducing signal of output products by proximity transducer to industrial computer, controlling image acquisition device present image by industrial computer.
Above-mentioned image collecting device and proximity transducer in actual applications, can be installed near product line by the above embodiments of the present invention.In inventor's preferred embodiment, repeatedly test through reality, 200 product bar codes were by 20 seconds collected by hand average used times 2 points, use only 10 seconds this programme average used time, bar code collecting efficiency promotes 14 times, add automatically and the dynamic mistake proofing integrated of production system and screening, raising efficiency is higher.And the present invention only needs to increase industrial camera or high-definition camera (i.e. image collecting device), sensor, switching value controller on original production line industrial computer on system composition, and structure is simple, easy and simple to handle, with low cost.
Still with reference to shown in figure 2, and the mounting means be specially of said system is directly at industrial computer and the following equipment of peripheral installation of product original production line:
A) industrial camera, is connected with industrial computer by USB interface;
B) I/O control enclosure, is connected with industrial computer by RS232 interface;
C) proximity transducer, is connected with the DI interface of I/O control enclosure by DC12V power signal line;
D) light source controller, is connected by the relay of AC220V power lead with I/O control enclosure DO interface;
After system starts, industrial computer opens lighting source by I/O control enclosure;
When after product to product assigned address, proximity transducer receives signal, sets high DC12V power signal line, and I/O control enclosure receives after proximity transducer sets high signal, is sent to industrial computer by RS-232 interface;
After image procossing and decoding software receive proximity transducer signal, call image capture device and obtain product image, and the image got carries out processing, searching bar code region, then all bar code regions found are decoded, screened and mistake proofing, then export bar code information and identify bar code region in product image, and then completing the whole process of batch bar code reading.
Than that described above, also it should be noted that spoken of in this manual " embodiment ", " another embodiment ", " embodiment " etc., refer to the specific features, structure or the feature that describe in conjunction with this embodiment and be included at least one embodiment of the application's generality description.Multiple place occurs that statement of the same race is not necessarily refer to same embodiment in the description.Furthermore, when describing specific features, structure or a feature in conjunction with any embodiment, what advocate is also fall within the scope of the invention to realize this feature, structure or feature in conjunction with other embodiments.
Although with reference to multiple explanatory embodiment of the present invention, invention has been described here, but, should be appreciated that, those skilled in the art can design a lot of other amendment and embodiment, these amendments and embodiment will drop within spirit disclosed in the present application and spirit.More particularly, in the scope of, accompanying drawing open in the application and claim, multiple modification and improvement can be carried out to the building block of subject combination layout and/or layout.Except the modification of carrying out building block and/or layout is with except improvement, to those skilled in the art, other purposes also will be obvious.
Claims (8)
1. a batch bar code recognition, is characterized in that described method comprises:
The product image of step S1, image acquisition device target area also transfers to industrial computer;
Step S2, industrial computer process present image and identify in present image the region with bar code, the decoding software that reruns is decoded to the bar code in image, decoded rear output bar code recognition result, described bar-code identification result at least comprises each bar code information in present image and the regional location of each bar code in present image;
Step S3, industrial computer identify the regional location of bar code in present image.
2. batch bar code recognition according to claim 1, is characterized in that in described step S2, industrial computer comprises the operation that present image processes:
Step S211, gradation of image process;
Step S212, image filtering, smoothing processing;
Step S213, image binaryzation process;
Step S214, find the connected region in present image between bar code according to preset bar code feature, and according to connected region cutting present image;
Step S215, according to preset bar code Feature Selection cutting after image;
Barcode data after step S216, extraction screening.
3. batch bar code recognition according to claim 2, is characterized in that also comprising between described step S215 and step S216: the image after each cutting is again carried out on current basis gray scale, filtering, level and smooth, binary conversion treatment.
4. the batch bar code recognition according to claim 1 or 3, is characterized in that the operation that in described step S2, industrial computer operation decoding software carries out decoding comprises one-dimension code decoding or/and Quick Response Code decoding.
5. batch bar code recognition according to claim 4, to is characterized in that in described step S2 that industrial computer runs decoding software when decoding to the bar code in image, also screens decoded result and mistake proofing operates, and described screening and mistake proofing operate and comprise:
Connected region in step S221, recognition image between bar code, identifies the quadrilateral in image, then identifies track according to quadrilateral according to connected region, then identifies the bar code met according to Orbit Matching;
Step S222, according to Orbit Matching recognition result screening fall incongruent bar code;
Step S223, utilize preset multiple bar code feature to carry out coupling error correction to current bar code information, and then optimize the bar code information in present image.
6., for realizing a batch Processing in Barcode Recognizing System for method described in claim 1 to 5 any one, it is characterized in that described system comprises:
Image collecting device, described image collecting device access industrial computer, for gathering the product image of target area and transferring to industrial computer;
Industrial computer, for processing present image and identifying in present image the region with bar code, the decoding software that reruns is decoded to the bar code in image, rear output bar code recognition result of having decoded.
7. batch Processing in Barcode Recognizing System according to claim 6, is characterized in that described system also comprises:
Light source, described light source access light source controller, described light source controller also accesses industrial computer by I/O control interface, for being passed through the open and close of I/O interface operation light-source controller controls light source by industrial computer;
Proximity transducer, described proximity transducer, by I/O interface access industrial computer, for being gathered the close transducing signal of output products by proximity transducer to industrial computer, controls image acquisition device present image by industrial computer.
8. the batch Processing in Barcode Recognizing System according to claim 6 or 7, is characterized in that: described image collecting device and proximity transducer are installed near product line.
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| CN106548105A (en) * | 2015-09-22 | 2017-03-29 | 上海行邑信息科技有限公司 | A kind of new barcode scanning identification control method and device |
| CN107480569A (en) * | 2017-10-13 | 2017-12-15 | 伟创力电子技术(苏州)有限公司 | A kind of batch bar code decoding machine |
| CN107563248A (en) * | 2017-09-15 | 2018-01-09 | 肖同春 | A kind of Quick Response Code batch identification method |
| CN108254386A (en) * | 2016-12-29 | 2018-07-06 | 研祥智能科技股份有限公司 | A kind of online test method, apparatus and system |
| CN108280385A (en) * | 2018-02-06 | 2018-07-13 | 佛山市南方数据科学研究院 | A kind of invisible two dimensional barcode solution read apparatus |
| CN108959989A (en) * | 2017-05-19 | 2018-12-07 | 合肥欣奕华智能机器有限公司 | A kind of multi-tag reading device and its control method |
| CN110210271A (en) * | 2019-05-31 | 2019-09-06 | 维沃移动通信有限公司 | A kind of information processing method and terminal device |
| CN110222691A (en) * | 2019-05-05 | 2019-09-10 | 山西大数据产业发展有限公司 | Product labelling identifying system and method |
| CN111008540A (en) * | 2019-11-29 | 2020-04-14 | 联想(北京)有限公司 | Bar code identification method and equipment and computer storage medium |
| CN111753568A (en) * | 2019-07-31 | 2020-10-09 | 北京市商汤科技开发有限公司 | Receipt information processing method and device, electronic equipment and storage medium |
| CN111882332A (en) * | 2020-07-31 | 2020-11-03 | 浙江水晶光电科技股份有限公司 | Information verification method and device |
| CN112115730A (en) * | 2020-09-09 | 2020-12-22 | 红云红河烟草(集团)有限责任公司 | Auxiliary code reading method for associating two-dimensional codes of hand-held cigarettes |
| CN112183148A (en) * | 2020-09-18 | 2021-01-05 | 内江师范学院 | Batch bar code positioning method and identification system |
| CN112507747A (en) * | 2020-12-10 | 2021-03-16 | 北京爱创科技股份有限公司 | Tracing code scanning device and method |
| CN113988104A (en) * | 2021-12-27 | 2022-01-28 | 北京紫光青藤微系统有限公司 | Method and device for decoding bar code, scanning equipment and storage medium |
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| CN111753568A (en) * | 2019-07-31 | 2020-10-09 | 北京市商汤科技开发有限公司 | Receipt information processing method and device, electronic equipment and storage medium |
| CN111008540A (en) * | 2019-11-29 | 2020-04-14 | 联想(北京)有限公司 | Bar code identification method and equipment and computer storage medium |
| CN111008540B (en) * | 2019-11-29 | 2021-10-22 | 联想(北京)有限公司 | Bar code identification method and equipment and computer storage medium |
| CN111882332A (en) * | 2020-07-31 | 2020-11-03 | 浙江水晶光电科技股份有限公司 | Information verification method and device |
| CN112115730A (en) * | 2020-09-09 | 2020-12-22 | 红云红河烟草(集团)有限责任公司 | Auxiliary code reading method for associating two-dimensional codes of hand-held cigarettes |
| CN112183148A (en) * | 2020-09-18 | 2021-01-05 | 内江师范学院 | Batch bar code positioning method and identification system |
| CN112183148B (en) * | 2020-09-18 | 2022-11-18 | 内江师范学院 | Batch bar code positioning method and identification system |
| CN112507747A (en) * | 2020-12-10 | 2021-03-16 | 北京爱创科技股份有限公司 | Tracing code scanning device and method |
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| CN113988104A (en) * | 2021-12-27 | 2022-01-28 | 北京紫光青藤微系统有限公司 | Method and device for decoding bar code, scanning equipment and storage medium |
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Application publication date: 20150121 |