CN104680163A - Licence plate recognition system - Google Patents
Licence plate recognition system Download PDFInfo
- Publication number
- CN104680163A CN104680163A CN201510068995.XA CN201510068995A CN104680163A CN 104680163 A CN104680163 A CN 104680163A CN 201510068995 A CN201510068995 A CN 201510068995A CN 104680163 A CN104680163 A CN 104680163A
- Authority
- CN
- China
- Prior art keywords
- image
- license plate
- module
- submodule
- recognition system
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Traffic Control Systems (AREA)
- Character Input (AREA)
- Image Analysis (AREA)
Abstract
The invention provides a licence plate recognition system which comprises a main control module, an image acquisition module, a target sensing module and an image processing module, wherein the image processing module comprises a licence plate location submodule, a character division submodule and a character recognition submodule; and the licence plate location submodule comprises a self-adapting binarization unit, a morphological closed operation unit and an area filtration unit. The licence plate recognition system achieves full-automatic recognition of a licence plate via automatic photographing, automatic location and automatic recognition of the licence plate. The system has a good recognition effect and a high automation degree and does not require manual participation. The system can be applied to the field of traffic monitoring and the other fields of detection and recognition and has wide application prospects.
Description
Technical field
The present invention relates to image processing field, particularly relate to a kind of Vehicle License Plate Recognition System.
Background technology
Along with the dramatic change of traffic environment and instrument, the quantity of automobile grows with each passing day, and adopts Vehicle License Plate Recognition System to the inexorable trend that automobile carries out intellectuality, automatic management becomes social development.
License plate recognition technology advances traffic administration to one of gordian technique of intelligent development.By Car license recognition, many important informations of vehicle can be obtained, thus greatly can promote the intelligence degree of transportation system management.
License plate recognition technology requires the license plate in motion to be extracted and identifies from complex background, by pre-service, License Plate, character cutting, identification, thus finally identifies vehicle license.
Summary of the invention
Technical matters to be solved by this invention is to invent a kind of Vehicle License Plate Recognition System, thus robotization obtains the important information of vehicle, promotes the intelligence degree in traffic administration.
The present invention is achieved in that a kind of Vehicle License Plate Recognition System, comprises main control module, image capture module, target apperception module and image processing module;
Described target apperception module detects vehicular traffic, when detecting that vehicle passes through the target area of presetting, sends signal to main control module;
Described image capture module receives described main control module instruction and takes pictures to the vehicle arriving the target area of presetting, and obtains original image, and original image is transferred to main control module;
Described image processing module obtains described original image by described main control module, and carries out Car license recognition according to described original image, and the result after identifying is transferred to main control module; Described image processing module comprises License Plate submodule, Character segmentation submodule and character recognition submodule; Described License Plate submodule comprises self-adaption binaryzation, morphology closed operation and area filter three unit;
Described main control module is used for image capture module, target apperception module, photo module and image processing module described in integrated dispatch and carries out Car license recognition.
Preferably, described self-adaption binaryzation unit is for carrying out the color space conversion of image, gaussian filtering, acquisition vertical edge and binaryzation data processing.
Preferably, described color space conversion is that original image dress is changed to common gray level image and HVS chromatic diagram picture.
Preferably, the image through color space conversion is carried out gaussian filtering by described binarization unit, thus the noise spot of removal of images, and extract the vertical edge of the image after gaussian filtering; After extraction vertical edge, image is carried out binary conversion treatment, and last result is transferred to morphology closed operation unit.
Preferably, described morphology closed operation unit is used for carrying out morphology closed operation to the image through described binarization unit process, and the described structuring element shape of described morphology closed operation is rectangle, and described rectangle size is 15*1.
Preferably, described area filter unit is used for carrying out area filter to the image through described morphology closed operation cell processing, obtains doubtful license plate area, and the length breadth ratio that the principle of described area filter comprises described doubtful license plate area is 2.5 ~ 3.5.
Preferably, described Character segmentation submodule uses priori rules to carry out Character segmentation to described doubtful license plate area; Image transmitting to character recognition submodule after segmentation is completed the last identification of characters on license plate by described Character segmentation submodule.
Preferably, described image capture module comprises high-quality CCD camera, light source, digital camera and image pick-up card.
Implement the present invention, there is following beneficial effect:
The invention provides a kind of Vehicle License Plate Recognition System, by carrying out automatic camera, automatically location to car plate and automatically identifying, realize the full-automatic identification of car plate.Recognition effect of the present invention is good, and do not need artificial participation, automaticity is high.The present invention both can be applied to traffic monitoring field also can be applied to other detection and Identification fields, has broad application prospects.
Accompanying drawing explanation
Fig. 1 is a kind of structural drawing of Vehicle License Plate Recognition System.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly, below in conjunction with accompanying drawing, the present invention is described in further detail.
Embodiments provide a kind of Vehicle License Plate Recognition System, as shown in Figure 1, comprise main control module, image capture module, target apperception module and image processing module;
Described target apperception module detects vehicular traffic, when detecting that vehicle passes through the target area of presetting, sends signal to main control module;
Described image capture module receives described main control module instruction and takes pictures to the vehicle arriving the target area of presetting, and obtains original image, and original image is transferred to main control module;
Described image processing module obtains described original image by described main control module, and carries out Car license recognition according to described original image, and the result after identifying is transferred to main control module; Described image processing module comprises License Plate submodule, Character segmentation submodule and character recognition submodule; Described License Plate submodule comprises self-adaption binaryzation, morphology closed operation and area filter three unit;
Described main control module is used for image capture module, target apperception module, photo module and image processing module described in integrated dispatch and carries out Car license recognition.
Preferably, described self-adaption binaryzation unit is for carrying out the color space conversion of image, gaussian filtering, acquisition vertical edge and binaryzation data processing.
Preferably, described color space conversion is that original image dress is changed to common gray level image and HVS chromatic diagram picture.
Preferably, the image through color space conversion is carried out gaussian filtering by described binarization unit, thus the noise spot of removal of images, and extract the vertical edge of the image after gaussian filtering; After extraction vertical edge, image is carried out binary conversion treatment, and last result is transferred to morphology closed operation unit.
Preferably, described morphology closed operation unit is used for carrying out morphology closed operation to the image through described binarization unit process, and the described structuring element shape of described morphology closed operation is rectangle, and described rectangle size is 15*1.
Preferably, described area filter unit is used for carrying out area filter to the image through described morphology closed operation cell processing, obtains doubtful license plate area, and the length breadth ratio that the principle of described area filter comprises described doubtful license plate area is 2.5-3.5.
Preferably, described Character segmentation submodule uses priori rules to carry out Character segmentation to described doubtful license plate area; Image transmitting to character recognition submodule after segmentation is completed the last identification of characters on license plate by described Character segmentation submodule.Wherein, priori rules comprises solution, standard characters on license plate is divided into three parts, and the first for economizing name abbreviation (Chinese character), secondary position is English alphabet, position is English alphabet or arabic numeral again, four, end is numeral, and character total length is 409mm, and wherein single character uniform width is 45mm, be highly 90ram, second and third character pitch is 34mm.
Preferably, described image capture module comprises high-quality CCD camera, light source, digital camera and image pick-up card.
Above disclosedly be only present pre-ferred embodiments, certainly can not limit the interest field of the present invention with this, therefore according to the equivalent variations that the claims in the present invention are done, still belong to the scope that the present invention is contained.
Claims (8)
1. a Vehicle License Plate Recognition System, is characterized in that, comprises main control module, image capture module, target apperception module and image processing module;
Described target apperception module detects vehicular traffic, when detecting that vehicle passes through the target area of presetting, sends signal to main control module;
Described image capture module receives described main control module instruction and takes pictures to the vehicle arriving the target area of presetting, and obtains original image, and original image is transferred to main control module;
Described image processing module obtains described original image by described main control module, and carries out Car license recognition according to described original image, and the result after identifying is transferred to main control module; Described image processing module comprises License Plate submodule, Character segmentation submodule and character recognition submodule; Described License Plate submodule comprises self-adaption binaryzation, morphology closed operation and area filter three unit;
Described main control module is used for image capture module, target apperception module, photo module and image processing module described in integrated dispatch and carries out Car license recognition.
2. a kind of Vehicle License Plate Recognition System according to claim 1, is characterized in that, described self-adaption binaryzation unit is for carrying out the color space conversion of image, gaussian filtering, acquisition vertical edge and binaryzation data processing.
3. a kind of Vehicle License Plate Recognition System according to claim 2, is characterized in that, described color space conversion is that original image dress is changed to common gray level image and HVS chromatic diagram picture.
4. a kind of Vehicle License Plate Recognition System according to Claims 2 or 3, it is characterized in that, image through color space conversion is carried out gaussian filtering by described binarization unit, thus the noise spot of removal of images, and extract the vertical edge of the image after gaussian filtering; After extraction vertical edge, image is carried out binary conversion treatment, and last result is transferred to morphology closed operation unit.
5. a kind of Vehicle License Plate Recognition System according to claim 4, it is characterized in that, described morphology closed operation unit is used for carrying out morphology closed operation to the image through described binarization unit process, the described structuring element shape of described morphology closed operation is rectangle, and described rectangle size is 15*1.
6. a kind of Vehicle License Plate Recognition System according to claim 5, it is characterized in that, described area filter unit is used for carrying out area filter to the image through described morphology closed operation cell processing, obtain doubtful license plate area, the length breadth ratio that the principle of described area filter comprises described doubtful license plate area is 2.5 ~ 3.5.
7. a kind of Vehicle License Plate Recognition System according to claim 1, is characterized in that, described Character segmentation submodule uses priori rules to carry out Character segmentation to described doubtful license plate area; Image transmitting to character recognition submodule after segmentation is completed the last identification of characters on license plate by described Character segmentation submodule.
8. a kind of Vehicle License Plate Recognition System according to claim 1, is characterized in that, described image capture module comprises high-quality CCD camera, light source, digital camera and image pick-up card.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510068995.XA CN104680163A (en) | 2015-02-10 | 2015-02-10 | Licence plate recognition system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510068995.XA CN104680163A (en) | 2015-02-10 | 2015-02-10 | Licence plate recognition system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN104680163A true CN104680163A (en) | 2015-06-03 |
Family
ID=53315180
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510068995.XA Pending CN104680163A (en) | 2015-02-10 | 2015-02-10 | Licence plate recognition system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104680163A (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105005780A (en) * | 2015-06-29 | 2015-10-28 | 叶秀兰 | License plate identification method |
CN110598704A (en) * | 2019-09-26 | 2019-12-20 | 中电万维信息技术有限责任公司 | License plate recognition non-inductive payment system based on deep learning |
CN111914834A (en) * | 2020-06-18 | 2020-11-10 | 绍兴埃瓦科技有限公司 | Image recognition method and device, computer equipment and storage medium |
WO2021057395A1 (en) * | 2019-09-29 | 2021-04-01 | 五邑大学 | Heel type identification method, device, and storage medium |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101408942A (en) * | 2008-04-17 | 2009-04-15 | 浙江师范大学 | Method for locating license plate under a complicated background |
CN101751785A (en) * | 2010-01-12 | 2010-06-23 | 杭州电子科技大学 | Automatic license plate recognition method based on image processing |
CN102043945A (en) * | 2010-11-23 | 2011-05-04 | 聊城大学 | License plate character recognition method based on real-time vehicle tracking and binary index classification |
CN102737247A (en) * | 2012-07-04 | 2012-10-17 | 中国科学技术大学 | Identification system of smoke intensity image of tail gas of diesel vehicle |
CN103793708A (en) * | 2014-03-05 | 2014-05-14 | 武汉大学 | Multi-scale license plate precise locating method based on affine correction |
CN103870803A (en) * | 2013-10-21 | 2014-06-18 | 北京邮电大学 | Vehicle license plate recognition method and system based on coarse positioning and fine positioning fusion |
CN104050450A (en) * | 2014-06-16 | 2014-09-17 | 西安通瑞新材料开发有限公司 | Vehicle license plate recognition method based on video |
US20140334721A1 (en) * | 2013-05-10 | 2014-11-13 | Tantrum Street LLC | Methods and apparatus for capturing, processing, training, and detecting patterns using pattern recognition classifiers |
US20140376778A1 (en) * | 2013-06-25 | 2014-12-25 | Zf Friedrichshafen Ag | License plate recognition system and location forecasting |
-
2015
- 2015-02-10 CN CN201510068995.XA patent/CN104680163A/en active Pending
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101408942A (en) * | 2008-04-17 | 2009-04-15 | 浙江师范大学 | Method for locating license plate under a complicated background |
CN101751785A (en) * | 2010-01-12 | 2010-06-23 | 杭州电子科技大学 | Automatic license plate recognition method based on image processing |
CN102043945A (en) * | 2010-11-23 | 2011-05-04 | 聊城大学 | License plate character recognition method based on real-time vehicle tracking and binary index classification |
CN102737247A (en) * | 2012-07-04 | 2012-10-17 | 中国科学技术大学 | Identification system of smoke intensity image of tail gas of diesel vehicle |
US20140334721A1 (en) * | 2013-05-10 | 2014-11-13 | Tantrum Street LLC | Methods and apparatus for capturing, processing, training, and detecting patterns using pattern recognition classifiers |
US20140376778A1 (en) * | 2013-06-25 | 2014-12-25 | Zf Friedrichshafen Ag | License plate recognition system and location forecasting |
CN103870803A (en) * | 2013-10-21 | 2014-06-18 | 北京邮电大学 | Vehicle license plate recognition method and system based on coarse positioning and fine positioning fusion |
CN103793708A (en) * | 2014-03-05 | 2014-05-14 | 武汉大学 | Multi-scale license plate precise locating method based on affine correction |
CN104050450A (en) * | 2014-06-16 | 2014-09-17 | 西安通瑞新材料开发有限公司 | Vehicle license plate recognition method based on video |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105005780A (en) * | 2015-06-29 | 2015-10-28 | 叶秀兰 | License plate identification method |
CN110598704A (en) * | 2019-09-26 | 2019-12-20 | 中电万维信息技术有限责任公司 | License plate recognition non-inductive payment system based on deep learning |
WO2021057395A1 (en) * | 2019-09-29 | 2021-04-01 | 五邑大学 | Heel type identification method, device, and storage medium |
CN111914834A (en) * | 2020-06-18 | 2020-11-10 | 绍兴埃瓦科技有限公司 | Image recognition method and device, computer equipment and storage medium |
CN111914834B (en) * | 2020-06-18 | 2024-04-02 | 绍兴埃瓦科技有限公司 | Image recognition method, device, computer equipment and storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109670500B (en) | Text region acquisition method and device, storage medium and terminal equipment | |
Montazzolli et al. | Real-time brazilian license plate detection and recognition using deep convolutional neural networks | |
Al-Ghaili et al. | Vertical-edge-based car-license-plate detection method | |
Saleem et al. | Automatic license plate recognition using extracted features | |
CN104182750A (en) | Extremum connected domain based Chinese character detection method in natural scene image | |
CN104680163A (en) | Licence plate recognition system | |
CN111027535B (en) | License plate recognition method and related equipment | |
Chandra et al. | Recognition of vehicle number plate using Matlab | |
Soomro et al. | Vehicle number recognition system for automatic toll tax collection | |
Rashedi et al. | A hierarchical algorithm for vehicle license plate localization | |
Heo et al. | Extraction of car license plate regions using line grouping and edge density methods | |
CN105022992A (en) | Automatic identification method of vehicle license plate | |
CN105005780A (en) | License plate identification method | |
Yang et al. | A license plate segmentation algorithm based on MSER and template matching | |
Bhosale et al. | Number Plate Recognition System for Toll Collection | |
CN109753880B (en) | Detection and identification method for natural scene vehicle-mounted video road speed limit sign | |
Khoshki et al. | Improved Automatic License Plate Recognition (ALPR) system based on single pass Connected Component Labeling (CCL) and reign property function | |
Boliwala et al. | Automatic number plate detection for varying illumination conditions | |
Mahalakshmi et al. | Smart toll collection using automatic license plate recognition techniques | |
Sharma | Automatic license plate based smart vehicle validation & security by gate control & email send | |
CN204347862U (en) | A kind of vehicle vehicle-logo recognition system | |
Sun et al. | Research and implementation of license plate recognition based on android platform | |
CN111754565B (en) | Image processing method and device | |
Kryjak et al. | Hardware-software implementation of vehicle detection and counting using virtual detection lines | |
Davix et al. | Edge based marker controlled watershed algorithm for automatic car licence plate localization |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WD01 | Invention patent application deemed withdrawn after publication | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20150603 |