CN110110676A - Automatic error correction method and device based on Car license recognition - Google Patents
Automatic error correction method and device based on Car license recognition Download PDFInfo
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- CN110110676A CN110110676A CN201910393011.3A CN201910393011A CN110110676A CN 110110676 A CN110110676 A CN 110110676A CN 201910393011 A CN201910393011 A CN 201910393011A CN 110110676 A CN110110676 A CN 110110676A
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- 238000012937 correction Methods 0.000 title claims abstract description 77
- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000013507 mapping Methods 0.000 claims abstract description 19
- 238000012546 transfer Methods 0.000 claims description 16
- 238000013524 data verification Methods 0.000 claims description 6
- 230000006870 function Effects 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 7
- 230000008569 process Effects 0.000 description 7
- 238000010586 diagram Methods 0.000 description 5
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 230000008878 coupling Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000035807 sensation Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000006399 behavior Effects 0.000 description 1
- 230000010485 coping Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
- G06V20/584—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of vehicle lights or traffic lights
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/14—Image acquisition
- G06V30/148—Segmentation of character regions
- G06V30/153—Segmentation of character regions using recognition of characters or words
Abstract
The invention discloses a kind of automatic error correction method and device based on Car license recognition, wherein method includes: the current license plate of identification;Judge current license plate whether be registered vehicle license plate;If it is not, then judge current license plate whether be external vehicle license plate;If it is not, then judging whether current license plate meets automatic error-correcting condition;If so, carrying out automatic error-correcting;Judge whether error correction succeeds;If so, determining that current license plate is the license plate of registered vehicle;If it is not, then determining that current license plate is the license plate of external vehicle.The present invention, which passes through, judges that two characters of one difference in current license plate and registered license plate library whether there is in the mapping relations of error correction java standard library, if, then it is and the character that has correspondence mappings relationship in error correction java standard library by the character correction of current license plate error bit, and then quickly the wrong license plate of only one difference is timely corrected, improve the efficiency of vehicle pass-through and the experience of user.
Description
Technical field
The present invention relates to Car license recognition fields, are more specifically based on the automatic error correction method and device of Car license recognition.
Background technique
With the development of 5G network, Networking trend will be gradually presented in wisdom parking industry.In addition, with security and guard technology
Development, the direction that the development in parking lot is even more intended to full video intelligent parking lot stride forward.It is assessed according to marketing texts, wisdom parking
43% driving time, 21% driving range can be reduced for car owner, 10% traffic congestion is effectively reduced, promotes 20%-
30% comprehensive parking income.
Forerunner technology one of of the license plate recognition technology as wisdom parking industry, the covering of large area and city it is each
In size parking lot.The foundation that can license plate effectively pass through as vehicle, is completely dependent on the accuracy rate with Car license recognition.Currently, by
, often there is the phenomenon of more Car license recognition mistake, and then cause in ambient enviroment or some other factors when identification
Current efficiency is lower.It is found by long-term statistics, these are identified most of license plate of mistake and practical correct license plate
An only potential difference, for example, the D in actual license plate can be identified as 0, the J in actual license plate can be identified as 1, if for no other reason than that one
Position difference and by Car license recognition mistake, this not only lowers traffic efficiency, increase cost, and make user experience bad.
Summary of the invention
It is an object of the invention to overcome the deficiencies of the prior art and provide automatic error correction methods and dress based on Car license recognition
It sets.
To achieve the above object, the invention adopts the following technical scheme: the automatic error correction method based on Car license recognition, packet
It includes:
Identify current license plate;
Judge current license plate whether be registered vehicle license plate;
If it is not, then judge current license plate whether be external vehicle license plate;
If it is not, then judging whether current license plate meets automatic error-correcting condition;
If so, carrying out automatic error-correcting;
Judge whether error correction succeeds;
If so, determining that current license plate is the license plate of registered vehicle;
If it is not, then determining that current license plate is the license plate of external vehicle.
Its further technical solution are as follows: it is described judge current license plate whether be registered vehicle license plate, comprising:
Transfer the data in registered license plate library;
It searches in registered license plate library with the presence or absence of current license plate;
If so, determining the step of current license plate is the license plate of registered vehicle into described.
Its further technical solution are as follows: it is described judge current license plate whether be external vehicle license plate, comprising:
Transfer the data in external license plate library;
It searches in external license plate library with the presence or absence of current license plate;
If so, determining the step of current license plate is the license plate of external vehicle into described.
Its further technical solution are as follows: described to judge whether current license plate meets automatic error-correcting condition, comprising:
Current license plate and the license plate in registered license plate library are compared;
Judge to whether there is in registered license plate library and the license plate of current license plate one difference;
If so, the step of into the progress automatic error-correcting.
Its further technical solution are as follows: the carry out automatic error-correcting, comprising:
Obtain error correction java standard library data;
According to two characters of one difference in the current license plate of error correction java standard library data verification and registered license plate library whether
It is present in the mapping relations of error correction java standard library;
If so, being and the character that has correspondence mappings relationship in error correction java standard library by the character correction of current license plate error bit.
Automatic error-correcting device based on Car license recognition, including recognition unit, the first judging unit, second judgment unit,
Three judging units, automatic error-correcting unit, the 4th judging unit, the first judging unit and the second judging unit;
The recognition unit, for identification current license plate;
First judging unit, for judge current license plate whether be registered vehicle license plate;
The second judgment unit, for judge current license plate whether be external vehicle license plate;
The third judging unit, for judging whether current license plate meets automatic error-correcting condition;
The automatic error-correcting unit, for carrying out automatic error-correcting;
4th judging unit, for judging whether error correction succeeds;
First judging unit, for determining that current license plate is the license plate of registered vehicle;
Second judging unit, for determining that current license plate is the license plate of external vehicle.
Its further technical solution are as follows: first judging unit transfers module and the first searching module including first;
Described first transfers module, for transferring the data in registered license plate library;
First searching module, for searching in registered license plate library with the presence or absence of current license plate.
Its further technical solution are as follows: the second judgment unit transfers module and the second searching module including second;
Described second transfers module, for transferring the data in external license plate library;
Second searching module, for searching in external license plate library with the presence or absence of current license plate.
Its further technical solution are as follows: the third judging unit includes contrast module and judgment module;
The contrast module, for comparing current license plate and the license plate in registered license plate library;
The judgment module, for judging to whether there is in registered license plate library and the license plate of current license plate one difference.
Its further technical solution are as follows: the automatic error-correcting unit includes obtaining module, authentication module and correction module;
The acquisition module, for obtaining error correction java standard library data;
The authentication module, for according to one in the current license plate of error correction java standard library data verification and registered license plate library it
Two characters of difference whether there is in the mapping relations of error correction java standard library;
The correction module, for being by the character correction of current license plate error bit and having correspondence mappings in error correction java standard library
The character of relationship.
Compared with the prior art, the invention has the advantages that: the automatic error-correcting side provided by the invention based on Car license recognition
Method and device, by judging that two characters of one difference in current license plate and registered license plate library whether there is in error correction standard
In the mapping relations in library, if so, being by the character correction of current license plate error bit and having correspondence mappings pass in error correction java standard library
The character of system, and then quickly the wrong license plate of only one difference is timely corrected, improve the effect of vehicle pass-through
The experience of rate and user.
The above description is only an overview of the technical scheme of the present invention, can in order to better understand technical measure
It is implemented in accordance with the contents of the specification, and in order to make above and other objects of the present invention, feature and advantage brighter
Show understandable, special below to lift preferred embodiment, detailed description are as follows.
Detailed description of the invention
Fig. 1 is that the present invention is based on the flow charts one of the automatic error correction method specific embodiment of Car license recognition;
Fig. 2 is that the present invention is based on the flowchart 2s of the automatic error correction method specific embodiment of Car license recognition;
Fig. 3 is that the present invention is based on the flow chart 3s of the automatic error correction method specific embodiment of Car license recognition;
Fig. 4 is that the present invention is based on the flow charts four of the automatic error correction method specific embodiment of Car license recognition;
Fig. 5 is that the present invention is based on the flow charts five of the automatic error correction method specific embodiment of Car license recognition;
Fig. 6 is that the present invention is based on the schematic block diagrams one of the automatic error-correcting device specific embodiment of Car license recognition;
Fig. 7 is that the present invention is based on the schematic block diagrams two of the automatic error-correcting device specific embodiment of Car license recognition;
Fig. 8 is that the present invention is based on the schematic block diagrams three of the automatic error-correcting device specific embodiment of Car license recognition;
Fig. 9 is that the present invention is based on the schematic block diagrams four of the automatic error-correcting device specific embodiment of Car license recognition;
Figure 10 is that the present invention is based on the schematic block diagrams five of the automatic error-correcting device specific embodiment of Car license recognition;
Figure 11 is the mapping table of error correction java standard library of the present invention.
Specific embodiment
In order to more fully understand technology contents of the invention, combined with specific embodiments below to technical solution of the present invention into
One step introduction and explanation, but not limited to this.
It should be appreciated that herein, relational terms such as first and second and the like are used merely to an entity/behaviour
Work/object is distinguished with another entity/operation/object, without necessarily requiring or implying these entity/operation/objects
Between there are any actual relationship or orders.
It is also understood that the terms "include", "comprise" or any other variant thereof is intended to cover non-exclusive inclusion,
So that the process, method, article or the system that include a series of elements not only include those elements, but also including not having
The other element being expressly recited, or further include for this process, method, article or the intrinsic element of system.Do not having
In the case where having more limitations, the element that is limited by sentence "including a ...", it is not excluded that include the element process,
There is also other identical elements in method, article or system.
As shown in Fig. 1-5,11, the automatic error correction method provided by the invention based on Car license recognition, comprising:
S10, the current license plate of identification;
S20, judge whether current license plate is the license plate of registered vehicle, if so, S70 is entered step, if it is not, then entering
Step S30;
S30, judge whether current license plate is the license plate of external vehicle, if so, S80 is entered step, if it is not, then entering step
Rapid S40;
S40, judge whether current license plate meets automatic error-correcting condition, if so, S50 is entered step, if it is not, then entering step
Rapid S80;
S50, automatic error-correcting is carried out;
S60, judge whether error correction succeeds, if so, S70, then determine current license plate be registered vehicle license plate, if it is not,
S80, then determine that current license plate is the license plate of external vehicle.
Specifically, the mode of identification license plate, which can be used, captures identification based on ground sensation, it can also be using based on video
Triggering, which is captured, to be identified, in the present embodiment, identification equipment is camera, and equipment equipment passes through the license plate that recognizer will finally be hit
Data are sent to background system, and background system carries out testing vehicle register identification by license plate.
Further, step S20 specifically includes the following steps:
S201, data in registered license plate library are transferred;
S202, it searches with the presence or absence of current license plate in registered license plate library, if so, S70 is entered step, if it is not, then sentencing
Settled preceding license plate is not the license plate of registered vehicle.
Further, step S30 specifically includes the following steps:
S301, data in external license plate library are transferred;
S302, it searches with the presence or absence of current license plate in external license plate library, if so, S80 is entered step, if it is not, then determining
Current license plate is not the license plate of external vehicle.
Further, step S40 specifically includes the following steps:
S401, current license plate and the license plate in registered license plate library are compared;
S402, judge to whether there is in registered license plate library and the license plate of current license plate one difference, if so, S50, then into
Row automatic error-correcting, if it is not, entering step S80.
Further, step S50 specifically includes the following steps:
S501, error correction java standard library data are obtained;
S502, according to two characters of one difference in the current license plate of error correction java standard library data verification and registered license plate library
With the presence or absence of in the mapping relations of error correction java standard library, if then entering step S503, if it is not, then entering step S80;
S503, it is and the character that has correspondence mappings relationship in error correction java standard library by the character correction of current license plate error bit.
Specifically, error correction java standard library is as shown in figure 11, exist and current license plate one when determining in registered license plate library
Difference license plate, then the error character of current license plate can be corrected according to the mapping relations of error correction java standard library, for example, currently
The error character of license plate is 0, then can be corrected as D, and the error character of current license plate is 1, then can be corrected as T.After correction,
Have in registered license plate library and the current license plate after correction, then it represents that error correction success, and can determine that and work as front truck after correcting
Board is the license plate of registered vehicle.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
Corresponding to, based on the automatic error correction method of Car license recognition, the present invention provides be based on license plate described in above-described embodiment
The automatic error-correcting device of identification.As shown in Fig. 6-10,11, which includes including recognition unit 1, the first judging unit 2, second
Judging unit 3, third judging unit 4, automatic error-correcting unit 5, the 4th judging unit 6, the first judging unit 7 and second determine
Unit 8;
Recognition unit 1, for identification current license plate;
First judging unit 2, for judge current license plate whether be registered vehicle license plate;
Second judgment unit 3, for judge current license plate whether be external vehicle license plate;
Third judging unit 4, for judging whether current license plate meets automatic error-correcting condition;
Automatic error-correcting unit 5, for carrying out automatic error-correcting;
4th judging unit 6, for judging whether error correction succeeds;
First judging unit 7, for determining that current license plate is the license plate of registered vehicle;
Second judging unit 8, for determining that current license plate is the license plate of external vehicle.
Specifically, the mode of identification license plate, which can be used, captures identification based on ground sensation, it can also be using based on video
Triggering, which is captured, to be identified, in the present embodiment, identification equipment is camera, and equipment equipment passes through the license plate that recognizer will finally be hit
Data are sent to background system, and background system carries out testing vehicle register identification by license plate.
Further, the first judging unit 2 transfers module 21 and the first searching module 22 including first;
First transfers module 21, for transferring the data in registered license plate library;
First searching module 22, for searching in registered license plate library with the presence or absence of current license plate.
Further, second judgment unit 3 transfers module 31 and the second searching module 32 including second;
Second transfers module 31, for transferring the data in external license plate library;
Second searching module 32, for searching in external license plate library with the presence or absence of current license plate.
Further, third judging unit 4 includes contrast module 41 and judgment module 42;
Contrast module, for comparing current license plate and the license plate in registered license plate library;
Judgment module, for judging to whether there is in registered license plate library and the license plate of current license plate one difference.
Further, automatic error-correcting unit 5 includes obtaining module 51, authentication module 52 and correction module 53;
Module 51 is obtained, for obtaining error correction java standard library data;
Authentication module 52 is used for the difference according to one in the current license plate of error correction java standard library data verification and registered license plate library
Two characters whether there is in the mapping relations of error correction java standard library;
Module 53 is corrected, for being by the character correction of current license plate error bit and having correspondence mappings pass in error correction java standard library
The character of system.
Specifically, error correction java standard library is as shown in figure 11, exist and current license plate one when determining in registered license plate library
Difference license plate, then the error character of current license plate can be corrected according to the mapping relations of error correction java standard library, for example, currently
The error character of license plate is 0, then can be corrected as D, and the error character of current license plate is 1, then can be corrected as T.After correction,
Have in registered license plate library and the current license plate after correction, then it represents that error correction success, and can determine that and work as front truck after correcting
Board is the license plate of registered vehicle.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, the technical solution of the embodiment of the present invention
Substantially all or part of the part that contributes to existing technology or the technical solution can be with software product in other words
Form embody, which is stored in a storage medium, including some instructions use so that one
Computer equipment (can be personal computer, server or the network equipment etc.) or processor (processor) execute this hair
The all or part of the steps of each embodiment the method in bright.And storage medium above-mentioned include: USB flash disk, it is mobile hard disk, read-only
Memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or
The various media that can store program code such as person's CD.
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function
Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of described device is divided into different functional unit or module, more than completing
The all or part of function of description.Each functional unit in embodiment, module can integrate in one processing unit, can also
To be that each unit physically exists alone, can also be integrated in one unit with two or more units, it is above-mentioned integrated
Unit both can take the form of hardware realization, can also realize in the form of software functional units.In addition, each function list
Member, the specific name of module are also only for convenience of distinguishing each other, the protection scope being not intended to limit this application.Above-mentioned apparatus
The specific work process of middle unit, module, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician
Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed
The scope of the present invention.
In embodiment provided by the present invention, it should be understood that disclosed device and method can pass through others
Mode is realized.For example, the apparatus embodiments described above are merely exemplary, for example, the division of the module or unit,
Only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components can be with
In conjunction with or be desirably integrated into another device, or some features can be ignored or not executed.Another point, it is shown or discussed
Mutual coupling or direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING of device or unit or
Communication connection can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
It is above-mentioned that technology contents of the invention are only further illustrated with embodiment, in order to which reader is easier to understand, but not
It represents embodiments of the present invention and is only limitted to this, any technology done according to the present invention extends or recreation, by of the invention
Protection.Protection scope of the present invention is subject to claims.
Claims (10)
1. the automatic error correction method based on Car license recognition characterized by comprising
Identify current license plate;
Judge current license plate whether be registered vehicle license plate;
If it is not, then judge current license plate whether be external vehicle license plate;
If it is not, then judging whether current license plate meets automatic error-correcting condition;
If so, carrying out automatic error-correcting;
Judge whether error correction succeeds;
If so, determining that current license plate is the license plate of registered vehicle;
If it is not, then determining that current license plate is the license plate of external vehicle.
2. the automatic error correction method according to claim 1 based on Car license recognition, which is characterized in that front truck is worked as in the judgement
Board whether be registered vehicle license plate, comprising:
Transfer the data in registered license plate library;
It searches in registered license plate library with the presence or absence of current license plate;
If so, determining the step of current license plate is the license plate of registered vehicle into described.
3. the automatic error correction method according to claim 1 based on Car license recognition, which is characterized in that front truck is worked as in the judgement
Board whether be external vehicle license plate, comprising:
Transfer the data in external license plate library;
It searches in external license plate library with the presence or absence of current license plate;
If so, determining the step of current license plate is the license plate of external vehicle into described.
4. the automatic error correction method according to claim 1 based on Car license recognition, which is characterized in that front truck is worked as in the judgement
Whether board meets automatic error-correcting condition, comprising:
Current license plate and the license plate in registered license plate library are compared;
Judge to whether there is in registered license plate library and the license plate of current license plate one difference;
If so, the step of into the progress automatic error-correcting.
5. the automatic error correction method according to claim 1 based on Car license recognition, which is characterized in that described to be entangled automatically
It is wrong, comprising:
Obtain error correction java standard library data;
It whether there is according to two characters of one difference in the current license plate of error correction java standard library data verification and registered license plate library
In the mapping relations of error correction java standard library;
If so, being and the character that has correspondence mappings relationship in error correction java standard library by the character correction of current license plate error bit.
6. the automatic error-correcting device based on Car license recognition, which is characterized in that sentence including recognition unit, the first judging unit, second
Disconnected unit, third judging unit, automatic error-correcting unit, the 4th judging unit, the first judging unit and the second judging unit;
The recognition unit, for identification current license plate;
First judging unit, for judge current license plate whether be registered vehicle license plate;
The second judgment unit, for judge current license plate whether be external vehicle license plate;
The third judging unit, for judging whether current license plate meets automatic error-correcting condition;
The automatic error-correcting unit, for carrying out automatic error-correcting;
4th judging unit, for judging whether error correction succeeds;
First judging unit, for determining that current license plate is the license plate of registered vehicle;
Second judging unit, for determining that current license plate is the license plate of external vehicle.
7. the automatic error-correcting device according to claim 6 based on Car license recognition, which is characterized in that first judgement is single
Member transfers module and the first searching module including first;
Described first transfers module, for transferring the data in registered license plate library;
First searching module, for searching in registered license plate library with the presence or absence of current license plate.
8. the automatic error-correcting device according to claim 6 based on Car license recognition, which is characterized in that second judgement is single
Member transfers module and the second searching module including second;
Described second transfers module, for transferring the data in external license plate library;
Second searching module, for searching in external license plate library with the presence or absence of current license plate.
9. the automatic error-correcting device according to claim 6 based on Car license recognition, which is characterized in that the third judgement is single
Member includes contrast module and judgment module;
The contrast module, for comparing current license plate and the license plate in registered license plate library;
The judgment module, for judging to whether there is in registered license plate library and the license plate of current license plate one difference.
10. the automatic error-correcting device according to claim 6 based on Car license recognition, which is characterized in that the automatic error-correcting
Unit includes obtaining module, authentication module and correction module;
The acquisition module, for obtaining error correction java standard library data;
The authentication module, for according to one difference in the current license plate of error correction java standard library data verification and registered license plate library
Two characters whether there is in the mapping relations of error correction java standard library;
The correction module, for being by the character correction of current license plate error bit and having correspondence mappings relationship in error correction java standard library
Character.
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Cited By (1)
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CN116702809A (en) * | 2023-05-22 | 2023-09-05 | 山东黄金矿业(莱州)有限公司三山岛金矿 | Simple pattern license plate recognition and detection method |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104217613A (en) * | 2014-09-05 | 2014-12-17 | 广西师范大学 | Parking lot management system and parking lot management method thereof |
CN106251637A (en) * | 2016-09-13 | 2016-12-21 | 杭州东方通信软件技术有限公司 | A kind of intelligent parking lot licence plate recognition method |
CN106652469A (en) * | 2016-12-16 | 2017-05-10 | 深圳市捷顺科技实业股份有限公司 | Vehicle enter/exit license plate identification method and license plate identification system |
CN107578643A (en) * | 2017-09-28 | 2018-01-12 | 苏州见真物联科技有限公司 | A kind of parking lot in-out management system |
CN107730625A (en) * | 2017-06-08 | 2018-02-23 | 西安艾润物联网技术服务有限责任公司 | Intelligent parking system goes out car charging method, system and storage medium |
CN108010329A (en) * | 2017-12-19 | 2018-05-08 | 张忠义 | A kind of method of parking exit Car license recognition automatic error-correcting |
CN109493611A (en) * | 2018-12-28 | 2019-03-19 | 西安艾润物联网技术服务有限责任公司 | A kind of licence plate recognition method and device |
CN109523790A (en) * | 2018-10-26 | 2019-03-26 | 安徽四创电子股份有限公司 | A kind of license plate error correction method based on license plate similarity |
CN109523792A (en) * | 2018-11-14 | 2019-03-26 | 厦门路桥信息股份有限公司 | Automatic correcting method, medium and the system of license plate recognition result |
-
2019
- 2019-05-13 CN CN201910393011.3A patent/CN110110676A/en active Pending
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104217613A (en) * | 2014-09-05 | 2014-12-17 | 广西师范大学 | Parking lot management system and parking lot management method thereof |
CN106251637A (en) * | 2016-09-13 | 2016-12-21 | 杭州东方通信软件技术有限公司 | A kind of intelligent parking lot licence plate recognition method |
CN106652469A (en) * | 2016-12-16 | 2017-05-10 | 深圳市捷顺科技实业股份有限公司 | Vehicle enter/exit license plate identification method and license plate identification system |
CN107730625A (en) * | 2017-06-08 | 2018-02-23 | 西安艾润物联网技术服务有限责任公司 | Intelligent parking system goes out car charging method, system and storage medium |
CN107578643A (en) * | 2017-09-28 | 2018-01-12 | 苏州见真物联科技有限公司 | A kind of parking lot in-out management system |
CN108010329A (en) * | 2017-12-19 | 2018-05-08 | 张忠义 | A kind of method of parking exit Car license recognition automatic error-correcting |
CN109523790A (en) * | 2018-10-26 | 2019-03-26 | 安徽四创电子股份有限公司 | A kind of license plate error correction method based on license plate similarity |
CN109523792A (en) * | 2018-11-14 | 2019-03-26 | 厦门路桥信息股份有限公司 | Automatic correcting method, medium and the system of license plate recognition result |
CN109493611A (en) * | 2018-12-28 | 2019-03-19 | 西安艾润物联网技术服务有限责任公司 | A kind of licence plate recognition method and device |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116702809A (en) * | 2023-05-22 | 2023-09-05 | 山东黄金矿业(莱州)有限公司三山岛金矿 | Simple pattern license plate recognition and detection method |
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