CN105447831B - License plate image processing method and processing device - Google Patents

License plate image processing method and processing device Download PDF

Info

Publication number
CN105447831B
CN105447831B CN201510924361.XA CN201510924361A CN105447831B CN 105447831 B CN105447831 B CN 105447831B CN 201510924361 A CN201510924361 A CN 201510924361A CN 105447831 B CN105447831 B CN 105447831B
Authority
CN
China
Prior art keywords
license plate
characters
processed
character
stroke width
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.)
Active
Application number
CN201510924361.XA
Other languages
Chinese (zh)
Other versions
CN105447831A (en
Inventor
黄攀
王飞
吉江燕
刘干
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang Uniview Technologies Co Ltd
Original Assignee
Zhejiang Uniview Technologies Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Zhejiang Uniview Technologies Co Ltd filed Critical Zhejiang Uniview Technologies Co Ltd
Priority to CN201510924361.XA priority Critical patent/CN105447831B/en
Publication of CN105447831A publication Critical patent/CN105447831A/en
Application granted granted Critical
Publication of CN105447831B publication Critical patent/CN105447831B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/77Retouching; Inpainting; Scratch removal
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10Character recognition
    • G06V30/14Image acquisition
    • G06V30/148Segmentation of character regions
    • G06V30/153Segmentation of character regions using recognition of characters or words

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Traffic Control Systems (AREA)
  • Character Input (AREA)

Abstract

The present invention provides license plate image processing method and processing device, this method comprises: calculating the stroke width value of characters on license plate to be processed in license plate image to be processed;Compare the stroke width value of the characters on license plate to be processed and the stroke width value of normal characters on license plate, if the stroke width value of the characters on license plate to be processed is greater than the stroke width value of the normal characters on license plate, determines the license plate image overexposure to be processed;Character edge is successively cut down by pixel wide to the characters on license plate to be processed, refines the characters on license plate to be processed.After carrying out binary conversion treatment to overexposure image, coarse character, loss in detail can be solved the problem of using the present invention and is easy adhesion, improves the accuracy of Recognition of License Plate Characters.

Description

License plate image processing method and processing device
Technical field
The present invention relates to field of intelligent transportation technology more particularly to a kind of license plate image processing method and processing devices.
Background technique
Currently, the quantity of motor vehicles is more and more, it is increasing to the management difficulty of motor vehicles, and Car license recognition Management difficulty to motor vehicles will be effectively reduced in intelligence.But there is Car license recognition shadow to interfere more, the spies such as environment complexity Point, such as in actual bayonet monitoring system, electronic police system application, influence of the illumination to Car license recognition is maximum, wherein License plate overexposure problem caused by environmental factor (sun light direct beam) or light filling factor is commonplace, brings to Car license recognition Very big challenge.
In the prior art, due to coarse to the characters on license plate after overexposure license plate image progress binary conversion treatment, details is lost It loses, and is easy adhesion, therefore etching operation can be carried out to the image after binary conversion treatment, so that the image after binary conversion treatment Reduce a circle.But etching operation is it needs to be determined that corrode filter window, and the edge of characters on license plate is variation, and is mellow and full Variation, corrode the contour structures that can destroy character to characters on license plate with the corrosion window for determining shape, to character recognition It interferes.
Summary of the invention
The present invention provides a kind of license plate image processing method and processing device, with solve in the prior art to overexposure license plate image into Character is coarse after row binary conversion treatment, loss in detail, and the problem of be easy adhesion, and avoid the prior art to character into The contour structures of character are destroyed caused by row etching operation and are interfered caused by character recognition.
According to a first aspect of the embodiments of the present invention, a kind of license plate image processing method is provided, which comprises
Calculate the stroke width value of characters on license plate to be processed in license plate image to be processed;
Compare the stroke width value of the characters on license plate to be processed and the stroke width value of normal characters on license plate, if it is described to The stroke width value for handling characters on license plate is greater than the stroke width value of the normal characters on license plate, then determines the license plate to be processed Image overexposure;
Character edge is successively cut down by pixel wide to the characters on license plate to be processed, refines the license plate word to be processed Symbol.
According to a second aspect of the embodiments of the present invention, a kind of license plate image processing unit is provided, described device includes:
Computing unit, for calculating the stroke width value of characters on license plate to be processed in license plate image to be processed;
Judging unit, it is wide for the stroke width value of the characters on license plate to be processed and the stroke of normal characters on license plate Angle value determines if the stroke width value of the characters on license plate to be processed is greater than the stroke width value of the normal characters on license plate The license plate image overexposure to be processed;
Unit is refined, for successively cutting down character edge by pixel wide to the characters on license plate to be processed, described in refinement Characters on license plate to be processed.
Using the embodiment of the present invention, characters on license plate to be processed in license plate image to be processed is calculated by image processing equipment Stroke width value;The stroke width value of characters on license plate more to be processed and the stroke width value of normal characters on license plate, if to be processed The stroke width value of characters on license plate is greater than the stroke width value of normal characters on license plate, then determines license plate image overexposure to be processed;It is right Characters on license plate to be processed successively cuts down character edge by pixel wide, refines characters on license plate to be processed.The present invention is to characters on license plate After carrying out micronization processes, solves overexposure characters on license plate and carry out after binary conversion treatment that character is coarse, loss in detail, and be easy viscous Even the problem of, and contour structures and the interference caused by character recognition that etching operation destroys character are avoided, improve word Symbol identification accuracy.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows and meets implementation of the invention Example, and be used to explain the principle of the present invention together with specification.
Fig. 1 is license plate image processing method flow chart in one embodiment of the present invention;
Fig. 2 be one embodiment of the present invention in judge license plate image whether the flow chart of overexposure;
Fig. 3 is a kind of hardware structure diagram of equipment where license plate image processing unit in one embodiment of the present invention;
Fig. 4 is license plate image processing unit block diagram in one embodiment of the present invention.
Specific embodiment
It is real to be further explained explanation below in conjunction with attached drawing with specific embodiment convenient for the understanding of the present invention Example is applied to be not intended to limit the scope of the present invention..
Technical solution provided in an embodiment of the present invention can be applied to the Car license recognition field of field of intelligent transportation technology, can answer For the processing to overexposure license plate image.
It is license plate image processing method flow chart in one embodiment of the present invention referring to Fig. 1:
Step 101: the grayscale image of the license plate image to be processed is obtained, binary conversion treatment is carried out to the grayscale image, point Separate out characters on license plate to be processed and background.
Preferably, it Da-Jin algorithm can be used to carry out binary conversion treatment to image to be processed, obtain characters on license plate and back to be processed The separated bianry image of scape.Optionally, in bianry image, the pixel value of characters on license plate part is 1, and the pixel value of background parts is 0;The pixel value of characters on license plate part can also be 0, and the pixel value of background parts is 1.With characters on license plate part in present specification Pixel value be 1, the pixel values of background parts describes technical solution of the present invention for being 0.
Step 102: calculating the stroke width value of characters on license plate in license plate image to be processed.
The concrete operation method for calculating the stroke width value of characters on license plate to be processed in license plate image to be processed can be found in Fig. 2 Shown in flow chart.
Step 103: the stroke width value of the characters on license plate to be processed and the stroke width value of normal characters on license plate, If the stroke width value of the characters on license plate to be processed is greater than the stroke width value of the normal characters on license plate, determine it is described to Handle license plate image overexposure.
Wherein, the stroke width value of normal characters on license plate is the stroke width of characters on license plate in the normal license plate image of imaging Value, it is identical as the acquisition scene of license plate image to be processed to be imaged normal license plate image.
Since under different acquisition scene, the characters on license plate stroke width of license plate image collected may be different, therefore are It is normal can to extract a large amount of imaging in the image acquired under the acquisition scene of image to be processed for the accuracy of calculated result License plate image, i.e. illumination be normal, not overexposure license plate image.Equally each imaging can be calculated according to method shown in Fig. 2 The character stroke width of the characters on license plate of normal license plate image, to the characters on license plate that normal license plate image is largely imaged Character stroke width is averaged, and the normal stroke width value of characters on license plate can be obtained.
Step 104: the stroke width value for calculating the characters on license plate to be processed and the stroke of the normal characters on license plate are wide Refinement threshold value is arranged according to difference in the difference of angle value.
Wherein, refinement threshold value can be refinement number, be also possible to refine stroke width.
When refinement threshold value is refinement number, stroke width value and normal license plate of the refinement threshold value for characters on license plate to be processed The half of difference between stroke width value;Refining threshold value is when refining stroke width, and refinement threshold value is characters on license plate to be processed Stroke width value and normal license plate stroke width value between difference.This is because each Refinement operation, the two sides of stroke A pixel can all be refined.For example, if the normal stroke width value of characters on license plate is 6 pixels, and image to be processed is worked as Preceding stroke width value is 10 pixels, then the difference between current stroke width value and normal stroke width value is 4 pixels, is needed 4 pixels are refined, the value refined every time is 2 pixels, therefore only needs to refine 2 times.Certainly using other modes come Threshold value is set.
Because thinning is realized by the way that the pixel value of the edge pixel of each character is set 0, journey is refined Degree determines that the pixel value by several layers of edge pixels of each character sets 0.
Step 105: obtaining the coordinate of each character connected component and the gradient value of each character connected component.
The criterion that a character connected component is constituted according to a character, can open each Character segmentation of characters on license plate. The coordinate form of each character connected component can record as the form of (X1, X2, Y1, Y2), that is, record occupied by each character Rectangular area on license plate.Optionally, due to that may have some stains on license plate, these stains are also displayed as on license plate image Individual impurity connected component can first remove impurity connected component before obtaining each character connected component.
But if two Characters Stucks together, the two characters will be unable to be divided, and two adhesion characters are one A character connected component.The subsequent character that adhesion can be separated by thinning.
Step 106: obtaining the character edge of each character connected component and all edges of each character connected component The coordinate value of pixel.
Specifically, calculating the gradient value of each character connected component, gradient value mutation is the edge of character connected component Pixel, all edge pixels of each character connected component constitute the character edge of character.Record each character connected component The coordinate value of all edge pixels.
Step 107: character edge successively being cut down by pixel wide to the characters on license plate to be processed, when refinement reaches described When refining threshold value, stop refinement.
If the characters on license plate pixel value of bianry image is 1, the pixel value of all edge pixels of each character is set After 0, that is, realize one layer of character edge of abatement.When refinement reaches refinement threshold value, stop refinement.
The definition for successively cutting down character edge in the present embodiment is the outer profile that character is eliminated by pixel wide, pixel wide Depending on setting, such as it can be a pixel wide.
Step 108: if successively cutting down character edge by pixel wide to the alphabet of the characters on license plate to be processed Afterwards, there is the remaining stroke width of characters on license plate to be greater than the stroke width of normal character, then determine the license plate image position to be processed Inclination is set, the license plate image after correcting the refinement characters on license plate.
If the license plate image rake ratio of acquisition is more serious, it is likely to occur after carrying out micronization processes to characters on license plate, two The case where a or more than two characters are still sticked together, this is that processing can be corrected to characters on license plate.
Embodiment as shown in connection with fig. 1 is it is found that calculate vehicle to be processed in license plate image to be processed by image processing equipment The stroke width value of board character;The stroke width value of characters on license plate more to be processed and the stroke width value of normal characters on license plate, If the stroke width value of characters on license plate to be processed is greater than the stroke width value of normal characters on license plate, license plate image to be processed is determined Overexposure;Character edge is successively cut down by pixel wide to characters on license plate to be processed, refines characters on license plate to be processed.The present invention is to vehicle After board character carries out micronization processes, solves overexposure characters on license plate and carry out after binary conversion treatment that character is coarse, loss in detail, and The problem of being easy adhesion, and contour structures and the interference caused by character recognition that etching operation destroys character are avoided, it mentions High character recognition accuracy.
Referring to fig. 2, for judge in one embodiment of the present invention license plate image whether the flow chart of overexposure:
Step 201: constituting the criterion of a character connected component according to the same character, characters on license plate to be processed is carried out Segmentation.
In an optional implementation manner, due in practical application scene, if any two character in license plate Thickness width is not much different with normal thickness width value, then the thickness width of all characters on license plate all with normal thickness different widths Less, can be determined by the thickness width value of any two character license plate image whether overexposure.It is carried out to characters on license plate When segmentation, any two character that can be partitioned into characters on license plate.Preferably, one edge exposure of license plate image in order to prevent, can Two characters being partitioned among characters on license plate, if two characters in general centre do not expose, entire license plate image does not just have There is exposure.
In another optional implementation, in order to calculate the thickness width value of accurate characters on license plate, it can also incite somebody to action All characters in characters on license plate all separate, and calculate the thickness width value of each character, and the thickness for calculating each character is wide Current thickness width value of the average value of angle value as characters on license plate.If can also only be calculated to reduce amount of calculation The thickness width value of some characters on license plate, but effect may be not satisfactory.
The criterion of a character connected component can be constituted according to character specifically to divide characters on license plate, but if two Together, then the two characters will be unable to be divided a Characters Stuck, and two adhesion characters are a character connected component.
Step 202: the gradient value of calculating character connected component.
Step 203: according to the gradient value of character connected component, determining the character edge of character connected component, and record word Accord with the coordinate value of all edge pixels of connected component.
Step 204: according to the coordinate value of the edge pixel of all character edges, pixel being pressed to the characters on license plate to be processed Width successively cuts down character edge.
Step 205: whether the remaining stroke width value for judging character connected component is a pixel.
The gradient value of each character connected component after a pixel can be refined, by calculating to determine character connected component Remaining stroke width value whether be a pixel, if the gradient value of character two sides is all mutation, illustrate character connection point The remaining stroke width value of amount is a pixel, is not otherwise a pixel.
Wherein, the stroke width value of a character connected component each region may not be identical, in order to avoid some character Character is shown imperfect after refinement, if there is the region that remaining stroke width value is a pixel in character connected component, The remaining stroke width value for determining the character connected component is a pixel, otherwise determines the residue of the character connected component Stroke width value is not a pixel.
If so, 206 are thened follow the steps, it is no to then follow the steps 203.
Step 206: according to the abatement number for cutting down the characters on license plate edge to be processed, calculating the license plate word to be processed The stroke width value of symbol.
It, can be to each character when the thickness width value of determining character is not identical when according to each character connected component Thickness width value calculates average value, obtains the stroke width value for calculating characters on license plate in license plate image to be processed.
In conjunction with Fig. 2 embodiment it is found that by the gradient value of calculating character connected component, can successively cut down character edge, And then calculate the thickness width value of each character, it is subsequent can be according to the thickness width value and normal license plate of characters on license plate to be processed The difference of thickness width value character is refined.
Referring to Fig. 3, a kind of hardware structure diagram of equipment where license plate image processing unit in one embodiment of the present invention:
The embodiment of license plate image processing unit of the present invention can be applied on hardware device.Installation practice can pass through Software realization can also be realized by way of hardware or software and hardware combining.Taking software implementation as an example, it anticipates as a logic Device in justice is to be read computer program instructions corresponding in nonvolatile memory by the CPU of equipment where it Operation is formed in memory.For hardware view, as shown in figure 3, for license plate image processing in one embodiment of the present invention A kind of hardware structure diagram of equipment where device, in addition to CPU shown in Fig. 3, memory, network interface and non-volatile memories Except device, the equipment in embodiment where device usually can also include other hardware.
Referring to fig. 4, it is license plate image processing unit block diagram in one embodiment of the present invention:
Described device includes: computing unit 410, and judging unit 420 refines unit 430.
Computing unit, for calculating the stroke width value of characters on license plate to be processed in license plate image to be processed;
Judging unit, it is wide for the stroke width value of the characters on license plate to be processed and the stroke of normal characters on license plate Angle value determines if the stroke width value of the characters on license plate to be processed is greater than the stroke width value of the normal characters on license plate The license plate image overexposure to be processed;
Unit is refined, for successively cutting down character edge by pixel wide to the characters on license plate to be processed, described in refinement Characters on license plate to be processed.
Preferably, the computing unit 410 includes: gray proces subelement 411 (being not shown in Fig. 4), for obtaining State the grayscale image of license plate image to be processed;Binary conversion treatment subelement 412 (is not shown) in Fig. 4, for the grayscale image into Row binary conversion treatment isolates characters on license plate to be processed and background;Cut down subelement 413, for the license plate word to be processed Symbol successively cuts down character edge by pixel wide, until abatement to a surplus pixel wide;Computation subunit 414 (is not shown in Fig. 4 Out), for calculating the stroke of the characters on license plate to be processed according to the abatement number for cutting down the characters on license plate edge to be processed Width value.
Optionally, the computing unit 410, be also used to calculate the characters on license plate to be processed character connection component and The coordinate of character connection component;The gradient value of the character connection component is calculated, the pixel of the gradient value mutation is edge picture Element, all edge pixels of each character connection component constitute the character edge of character.
Preferably, the refinement unit 430 includes: setting subelement 431 (being not shown in Fig. 4), for calculate it is described to The difference for handling the stroke width value of characters on license plate and the stroke width value of the normal characters on license plate is arranged according to difference and refines Threshold value;It refines subelement 432 (being not shown in Fig. 4), for successively cutting down word by pixel wide to the characters on license plate to be processed Edge is accorded with, when refinement reaches the refinement threshold value, stops refinement.
Preferably, described device further include: described device further include: correction unit 440 (being not shown in Fig. 4), for such as After fruit successively cuts down character edge by pixel wide to the alphabet of the characters on license plate to be processed, there is the residue of characters on license plate Stroke width is greater than the stroke width of normal character, then determines the license plate image position inclination to be processed, correct the refinement License plate image after characters on license plate.
The function of each unit and the realization process of effect are specifically detailed in the above method and correspond to step in above-mentioned apparatus Realization process, details are not described herein.
Those skilled in the art after considering the specification and implementing the invention disclosed here, will readily occur to of the invention its Its embodiment.This application is intended to cover any variations, uses, or adaptations of the invention, these modifications, purposes or Person's adaptive change follows general principle of the invention and including the undocumented common knowledge in the art of the present invention Or conventional techniques.The description and examples are only to be considered as illustrative, and true scope and spirit of the invention are by following Claim is pointed out.
It should be understood that the present invention is not limited to the precise structure already described above and shown in the accompanying drawings, and And various modifications and changes may be made without departing from the scope thereof.The scope of the present invention is limited only by the attached claims.

Claims (8)

1. a kind of license plate image processing method, which is characterized in that the described method includes:
Calculate the stroke width value of characters on license plate to be processed in license plate image to be processed;
Compare the stroke width value of the characters on license plate to be processed and the stroke width value of normal characters on license plate, if described to be processed The stroke width value of characters on license plate is greater than the stroke width value of the normal characters on license plate, then determines the license plate image to be processed Overexposure;
Calculate the character connection component of the characters on license plate to be processed and the coordinate of character connection component;
The gradient value of the character connection component is calculated, the pixel of the gradient value mutation is edge pixel, each character connection All edge pixels of component constitute the character edge of character;
Character edge is successively cut down by pixel wide to the characters on license plate to be processed, refines the characters on license plate to be processed.
2. the method according to claim 1, wherein described calculate license plate word to be processed in license plate image to be processed The stroke width value of symbol, comprising:
Obtain the grayscale image of the license plate image to be processed;
Binary conversion treatment is carried out to the grayscale image, isolates characters on license plate to be processed and background;
Character edge is successively cut down by pixel wide to the characters on license plate to be processed, until abatement to a surplus pixel wide;
According to the abatement number for cutting down the characters on license plate edge to be processed, the stroke width of the characters on license plate to be processed is calculated Value.
3. the method according to claim 1, wherein the refinement characters on license plate to be processed, comprising:
Calculate the difference of the stroke width value of the characters on license plate to be processed and the stroke width value of the normal characters on license plate, root According to difference, refinement threshold value is set;
Character edge is successively cut down by pixel wide to the characters on license plate to be processed, when refinement reaches the refinement threshold value, Stop refinement.
4. the method according to claim 1, wherein the method also includes: if to the license plate to be processed After the alphabet of character successively cuts down character edge by pixel wide, there is the remaining stroke width of characters on license plate to be greater than good word The stroke width of symbol then determines the license plate image position inclination to be processed, the license plate figure after correcting the refinement characters on license plate Picture.
5. a kind of license plate image processing unit, which is characterized in that described device includes:
Computing unit calculates described wait locate for calculating the stroke width value of characters on license plate to be processed in license plate image to be processed The character connection component of characters on license plate and the coordinate of character connection component are managed, the gradient value of the character connection component is calculated, The pixel of the gradient value mutation is edge pixel, and all edge pixels of each character connection component constitute the character side of character Edge;
Judging unit, for the stroke width value of the characters on license plate to be processed and the stroke width of normal characters on license plate Value determines institute if the stroke width value of the characters on license plate to be processed is greater than the stroke width value of the normal characters on license plate State license plate image overexposure to be processed;
Unit is refined, for successively cutting down character edge by pixel wide to the characters on license plate to be processed, refinement is described wait locate Manage characters on license plate.
6. device according to claim 5, which is characterized in that the computing unit includes:
Gray proces subelement, for obtaining the grayscale image of the license plate image to be processed;
Binary conversion treatment subelement isolates characters on license plate and back to be processed for carrying out binary conversion treatment to the grayscale image Scape;
Cut down subelement, for successively cutting down character edge by pixel wide to the characters on license plate to be processed, until abatement arrives Remain a pixel wide;
Computation subunit, for calculating the vehicle to be processed according to the abatement number for cutting down the characters on license plate edge to be processed The stroke width value of board character.
7. device according to claim 5, which is characterized in that the refinement unit includes:
Subelement is set, for calculating the stroke width value of the characters on license plate to be processed and the stroke of the normal characters on license plate Refinement threshold value is arranged according to difference in the difference of width value;
Subelement is refined, for successively cutting down character edge by pixel wide to the characters on license plate to be processed, when refinement reaches When the refinement threshold value, stop refinement.
8. device according to claim 5, which is characterized in that described device further include: correction unit, if for institute State characters on license plate to be processed alphabet successively cut down character edge by pixel wide after, have the remaining stroke of characters on license plate wide Degree is greater than the stroke width of normal character, then determines the license plate image position inclination to be processed, correct the refinement license plate word License plate image after symbol.
CN201510924361.XA 2015-12-14 2015-12-14 License plate image processing method and processing device Active CN105447831B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510924361.XA CN105447831B (en) 2015-12-14 2015-12-14 License plate image processing method and processing device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510924361.XA CN105447831B (en) 2015-12-14 2015-12-14 License plate image processing method and processing device

Publications (2)

Publication Number Publication Date
CN105447831A CN105447831A (en) 2016-03-30
CN105447831B true CN105447831B (en) 2019-02-15

Family

ID=55557965

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510924361.XA Active CN105447831B (en) 2015-12-14 2015-12-14 License plate image processing method and processing device

Country Status (1)

Country Link
CN (1) CN105447831B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106780351B (en) * 2016-12-09 2019-11-29 浙江浩腾电子科技股份有限公司 A kind of license plate sloped antidote

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103116751A (en) * 2013-01-24 2013-05-22 河海大学 Automatic license plate character recognition method

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103116751A (en) * 2013-01-24 2013-05-22 河海大学 Automatic license plate character recognition method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
在车牌自动识别系统中对字符的分割与识别的研究;王飞;《中国优秀硕士学位论文全文数据库 信息科技辑》;20070515;第I138-1103页

Also Published As

Publication number Publication date
CN105447831A (en) 2016-03-30

Similar Documents

Publication Publication Date Title
US9811921B2 (en) Apparatus and method for processing a depth image
CN109492642B (en) License plate recognition method, license plate recognition device, computer equipment and storage medium
CN107316326B (en) Edge-based disparity map calculation method and device applied to binocular stereo vision
JP2016513320A (en) Method and apparatus for image enhancement and edge verification using at least one additional image
CN108154149B (en) License plate recognition method based on deep learning network sharing
KR20150079638A (en) Image processing method and apparatus for elimination of depth artifacts
CN108009522B (en) Road detection method, device and terminal
CN109447117B (en) Double-layer license plate recognition method and device, computer equipment and storage medium
US20210088441A1 (en) Deposit detection device and deposit detection method
CN106373128B (en) Method and system for accurately positioning lips
US20130022236A1 (en) Apparatus Capable of Detecting Location of Object Contained in Image Data and Detection Method Thereof
CN112154479A (en) Method for extracting feature points, movable platform and storage medium
CN111382745A (en) Nail image segmentation method, device, equipment and storage medium
CN111222514B (en) Local map optimization method based on visual positioning
CN112233049A (en) Image fusion method for improving image definition
CN106663317B (en) Morphological processing method and digital image processing device for digital image
CN105447831B (en) License plate image processing method and processing device
CN112184723B (en) Image processing method and device, electronic equipment and storage medium
CN117710703A (en) Image processing method, device, computer equipment and readable storage medium
CN110930358B (en) Solar panel image processing method based on self-adaptive algorithm
CN117132503A (en) Method, system, equipment and storage medium for repairing local highlight region of image
CN115937825B (en) Method and device for generating robust lane line under BEV of on-line pitch angle estimation
CN110728276B (en) License plate recognition method and device
CN116597421A (en) Parking space monitoring method, device and equipment based on image recognition
CN112069924A (en) Lane line detection method, lane line detection device and computer-readable storage medium

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant