CN105022991A - Vehicle license plate processing and automatic recognition method - Google Patents
Vehicle license plate processing and automatic recognition method Download PDFInfo
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- CN105022991A CN105022991A CN201510369772.7A CN201510369772A CN105022991A CN 105022991 A CN105022991 A CN 105022991A CN 201510369772 A CN201510369772 A CN 201510369772A CN 105022991 A CN105022991 A CN 105022991A
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- license plate
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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
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/54—Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/02—Preprocessing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/08—Feature extraction
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- Engineering & Computer Science (AREA)
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- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Traffic Control Systems (AREA)
- Character Discrimination (AREA)
Abstract
The invention provides a vehicle license plate processing and automatic recognition method. A plurality of steps of shooting, analog-to-digital conversion, preprocessing, positioning, inclined correction, character segmentation and recognition and the like are performed on a vehicle, and then complete automatic recognition of a vehicle license plate is achieved; the positioning method comprises determining a vehicle license plate area through setting of a positioning rule, the positioning rule limits the vehicle license plate area and a gray scope value, and the vehicle license plate area is obtained through a positioning experience library; and the preprocessing method comprises gray processing and gray stretching, and the gray stretching is achieved through adoption of a gray adjustment function imadjust () in the matlab. The vehicle license plate processing and automatic recognition method has the advantages of the good recognition effect and the high degree of automation, and does not need artificial participation. The vehicle license plate processing and automatic recognition method can be applied to a traffic monitoring field and also can be applied to other detection and recognition fields; and the vehicle license plate processing and automatic recognition method has a wide application prospect.
Description
Technical field
The present invention relates to image processing field, particularly relate to a kind of car plate process and automatic identifying method.
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 (Vehicle License Plate Recognition, VLPR) is the one application of Video Image recognition technology in License Plate Identification.
License plate recognition technology requires the license plate in motion to be extracted and identifies from complex background, by technology such as license plate retrieving, Image semantic classification, feature extraction, Recognition of License Plate Characters, identify vehicle identification number, this technology is widely applied in vehicle on highway management, multiple field such as electronic charging (ETC) system, parking lot management etc.
As the Main Means identifying testing vehicle register, license plate recognition technology advances traffic administration to one of gordian technique of intelligent development.Pass through Car license recognition, many important informations of vehicle can be obtained, thus greatly can promote the intelligence degree of transportation system management, current, the development that Car license recognition is existing larger technically, and in the face of day by day complicated traffic environment, the complexity of image, the power of light, the real current situation of car plate and the realization of the travel speed of vehicle to Recognition Algorithm of License Plate are had higher requirement.
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 identify vehicle license, and the performance that outstanding license plate recognition technology all possesses excellence in recognition correct rate, recognition time, recognition speed etc. can be applied among the recognition system with reality.
Summary of the invention
Technical matters to be solved by this invention is to invent a kind of car plate process and automatic identifying method, 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 car plate process and automatic identifying method, comprises the steps:
S1. by ball machine monitoring vehicular traffic, when detecting that vehicle passes through the target area of presetting, the gunlock started on vehicle driving route is taken pictures to described vehicle;
S2. the image photographed is carried out the image quantizing to become digital form by described gunlock, and transfers to graphics processing unit;
S3. pre-service is carried out to described image;
S4. pretreated image is positioned, determine license plate area;
S5. slant correction is carried out to described license plate area;
S6. Character segmentation is carried out to the car plate in described license plate area
S7. character recognition is carried out to car plate;
Described preprocess method is:
S31. gray processing is carried out to described image, described gray processing method is for directly to replace each component by getting maximal value in coloured image R, G, B three-component, R, G, B component of each pixel after making gray processing is equal, and each pixel only has the difference in brightness;
S32. carry out gray scale stretching to the image after gray processing, gray scale Tuning function imadjust () that described gray scale stretching is carried by use matlab realizes;
Described localization method is for determining license plate area by setting locating rule, and described locating rule limits license plate area and tonal range value simultaneously, and described license plate area is obtained by experience storehouse, position.
Preferably, the license plate area corresponding to the record different vehicle Distance geometry height of car of experience storehouse, described position, described license plate area comprises the size of license plate area, the length breadth ratio of license plate area and license plate area position.
Preferably, from experience storehouse, described position, obtain corresponding license plate area according to vehicle distances, height of car in S4, described license plate area comprises the position of the size of license plate area, the length breadth ratio of license plate area and license plate area.
Preferably, the tonal range value of locating rule is 100-255.
Preferably, described tonal range value can rule of thumb set.
Preferably, described sloped correcting method is:
Extract the edge of described license plate area, adopt license plate area described in radon transfer pair to carry out slant correction process, add up described license plate area radon and convert the maximal value obtained, record angle of inclination now, thus described license plate area is corrected.
Preferably, S6 comprises use closure operation, and corrosion erasing is not the part of automotive license plate.
Preferably, in S6, the Chinese character on car plate, letter and number are revised, cut out the concrete border of each character in car plate, according to each character boundary, slant correction is carried out to each character.
Preferably, in S7, the character in the template base of each character and pre-stored is compared, thus complete Car license recognition.
Implement the present invention, there is following beneficial effect:
The invention provides a kind of car plate process and automatic identifying method, 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.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly, below the present invention is described in further detail.
Embodiments provide a kind of car plate process and automatic identifying method, comprise the steps:
S1. by ball machine monitoring vehicular traffic, when detecting that vehicle passes through the target area of presetting, the gunlock started on vehicle driving route is taken pictures to described vehicle;
S2. the image photographed is carried out the image quantizing to become digital form by described gunlock, and transfers to graphics processing unit;
S3. pre-service is carried out to described image;
S4. pretreated image is positioned, determine license plate area;
S5. slant correction is carried out to described license plate area;
S6. Character segmentation is carried out to the car plate in described license plate area
S7. character recognition is carried out to car plate;
Described preprocess method is:
S31. gray processing is carried out to described image, described gray processing method is for directly to replace each component by getting maximal value in coloured image R, G, B three-component, R, G, B component of each pixel after making gray processing is equal, and each pixel only has the difference in brightness;
S32. carry out gray scale stretching to the image after gray processing, gray scale Tuning function imadjust () that described gray scale stretching is carried by use matlab realizes;
Described localization method is for determining license plate area by setting locating rule, and described locating rule limits license plate area and tonal range value simultaneously, and described license plate area is obtained by experience storehouse, position.
Preferably, the license plate area corresponding to the record different vehicle Distance geometry height of car of experience storehouse, described position, described license plate area comprises the size of license plate area, the length breadth ratio of license plate area and license plate area position.
Preferably, from experience storehouse, described position, obtain corresponding license plate area according to vehicle distances, height of car in S4, described license plate area comprises the position of the size of license plate area, the length breadth ratio of license plate area and license plate area.
Preferably, the tonal range value of locating rule is 100, and the length breadth ratio of license plate area is 2.5, and the position of license plate area is image bottom 1/3.
Preferably, described tonal range value can rule of thumb set.
Preferably, described sloped correcting method is:
Extract the edge of described license plate area, adopt license plate area described in radon transfer pair to carry out slant correction process, add up described license plate area radon and convert the maximal value obtained, record angle of inclination now, thus described license plate area is corrected.
Preferably, S6 comprises use closure operation, and corrosion erasing is not the part of automotive license plate.
Preferably, in S6, the Chinese character on car plate, letter and number are revised, cut out the concrete border of each character in car plate, according to each character boundary, slant correction is carried out to each character.
Preferably, in S7, the character in the template base of each character and pre-stored is compared, thus complete Car license recognition.
Another embodiment, the tonal range value of locating rule is 100, and the length breadth ratio of license plate area is 3.5, and the position of license plate area is image bottom 1/4.
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 (9)
1. car plate process and an automatic identifying method, is characterized in that, comprises the steps:
S1. by ball machine monitoring vehicular traffic, when detecting that vehicle passes through the target area of presetting, the gunlock started on vehicle driving route is taken pictures to described vehicle;
S2. the image photographed is carried out the image quantizing to become digital form by described gunlock, and transfers to graphics processing unit;
S3. pre-service is carried out to described image;
S4. pretreated image is positioned, determine license plate area;
S5. slant correction is carried out to described license plate area;
S6. Character segmentation is carried out to the car plate in described license plate area;
S7. character recognition is carried out to car plate;
Described preprocess method is:
S31. gray processing is carried out to described image, described gray processing method is for directly to replace each component by getting maximal value in coloured image R, G, B three-component, R, G, B component of each pixel after making gray processing is equal, and each pixel only has the difference in brightness;
S32. carry out gray scale stretching to the image after gray processing, gray scale Tuning function imadjust () that described gray scale stretching is carried by use matlab realizes;
The method of described location is for determining license plate area by setting locating rule, and described locating rule limits license plate area and tonal range value simultaneously, and described license plate area is obtained by experience storehouse, position.
2. a kind of car plate process according to claim 1 and automatic identifying method, it is characterized in that, license plate area corresponding to the record different vehicle Distance geometry height of car of experience storehouse, described position, described license plate area comprises the size of license plate area, the length breadth ratio of license plate area and license plate area position.
3. a kind of car plate process according to claim 2 and automatic identifying method, it is characterized in that, from experience storehouse, described position, obtain corresponding license plate area according to vehicle distances, height of car in S4, described license plate area comprises the position of the size of license plate area, the length breadth ratio of license plate area and license plate area.
4. according to a kind of car plate process in claim 1-3 described in any one and automatic identifying method, it is characterized in that, the tonal range value of locating rule is 100-255.
5. a kind of car plate process according to claim 4 and automatic identifying method, is characterized in that, described tonal range value can rule of thumb set.
6. a kind of car plate process according to claim 5 and automatic identifying method, it is characterized in that, described sloped correcting method is:
Extract the edge of described license plate area, adopt license plate area described in radon transfer pair to carry out slant correction process, add up described license plate area radon and convert the maximal value obtained, record angle of inclination now, thus described license plate area is corrected.
7. a kind of car plate process according to claim 6 and automatic identifying method, it is characterized in that, S6 comprises use closure operation, and corrosion erasing is not the part of automotive license plate.
8. a kind of car plate process according to claim 7 and automatic identifying method, it is characterized in that, in S6, the Chinese character on car plate, letter and number are revised, cut out the concrete border of each character in car plate, according to each character boundary, slant correction is carried out to each character.
9. a kind of car plate process according to claim 8 and automatic identifying method, is characterized in that, compared by the character in the template base of each character and pre-stored, thus complete Car license recognition in S7.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201510369772.7A CN105022991A (en) | 2015-06-29 | 2015-06-29 | Vehicle license plate processing and automatic recognition method |
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| CN201510369772.7A CN105022991A (en) | 2015-06-29 | 2015-06-29 | Vehicle license plate processing and automatic recognition method |
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| WO2018219054A1 (en) * | 2017-06-02 | 2018-12-06 | 杭州海康威视数字技术股份有限公司 | Method, device, and system for license plate recognition |
| CN109509368A (en) * | 2018-12-21 | 2019-03-22 | 深圳信路通智能技术有限公司 | A kind of parking behavior algorithm based on roof model |
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Application publication date: 20151104 |