CN109447077A - A kind of license plate intelligent identifying system and method for parking lot - Google Patents

A kind of license plate intelligent identifying system and method for parking lot Download PDF

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Publication number
CN109447077A
CN109447077A CN201811144705.5A CN201811144705A CN109447077A CN 109447077 A CN109447077 A CN 109447077A CN 201811144705 A CN201811144705 A CN 201811144705A CN 109447077 A CN109447077 A CN 109447077A
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license plate
control centre
vehicle
image
character
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刘骏
余亚东
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University of Shaoxing
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    • 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/22Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/26Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
    • G06V10/267Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/56Extraction of image or video features relating to colour
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07BTICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
    • G07B15/00Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
    • G07B15/02Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points taking into account a variable factor such as distance or time, e.g. for passenger transport, parking systems or car rental systems

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Data Mining & Analysis (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Evolutionary Computation (AREA)
  • Evolutionary Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Business, Economics & Management (AREA)
  • Finance (AREA)
  • Traffic Control Systems (AREA)
  • Devices For Checking Fares Or Tickets At Control Points (AREA)

Abstract

The present invention relates to a kind of license plate intelligent identifying systems and method for parking lot, including image collecting device, secondary light source device, display device and control centre.The present invention can judge type of vehicle according to license plate color, and it gives priority in arranging for according to the automobile that the remaining capacity of electric car is not enough power supply and has the parking stall of charging pile, parking service is preferably provided, since license plate intelligent identification Method of the invention needs for vehicle allocation parking stall, therefore the parking lot that parking stall is fixed in cell is not suitable for, suitable for the parking lot in market or the Public Parking of outdoor;Charging pile is further divided into the direct-current charging post of fast charge and the alternating-current charging pile of trickle charge, when electricity is very low, preferential recommendation direct-current charging post, otherwise, it can recommend alternating-current charging pile, and the traveling guiding route from Entrance to parking stall can be generated, be sent to client, user is preferably guided to find the parking stall of distribution in parking lot.

Description

A kind of license plate intelligent identifying system and method for parking lot
Technical field
The present invention relates to technical field of data processing, in particular to a kind of license plate intelligent identifying system for parking lot and Method.
Background technique
In the prior art, Car license recognition is always one of research hotspot and key technology of Intelligent traffic management systems.Vehicle Board identification using very extensive, such as highway automatic charging, parking lot fee collection management, criminal investigation detection etc..If made Mode manually identifies these license plates, is bound to waste many manpower and material resources.
With the development of society, automatic Recognition of License Plate is applied in people's lives more and more, automatically Identification equipment starts to be laid in cell doorway, community parking field and market parking lot etc., automatic identification license plate number and automatic charging, Many convenience are brought to people's life.However, license plate recognition technology function in the prior art is relatively simple, it can not be according to knowledge Not Chu license plate more miscellaneous functions are provided.
Summary of the invention
It is existing its object is to overcome the present invention provides a kind of license plate intelligent identifying system and method for parking lot The defects of technology can judge type of vehicle according to license plate color, and be not enough power supply according to the remaining capacity of electric car Automobile give priority in arranging for and have the parking stall of charging pile, preferably offer parking service.
To achieve the goals above, the present invention has following constitute:
This is used for the license plate intelligent identifying system in parking lot, including image collecting device, secondary light source device, display device And control centre, in which:
Described image acquisition device acquires the vehicle image at Entrance;
The control centre identifies the rivet in the vehicle image at the Entrance, determines rivet location;
The control centre positions license plate according to rivet location, and license plate area figure is extracted from the vehicle image Picture;
The control centre extracts the RGB color value of license plate color from the license plate area image;
The control centre carries out gray proces to the license plate area image, obtains gray level image;
The control centre carries out binary conversion treatment to the gray level image, obtains the binaryzation of the license plate area image Image;
The control centre carries out Character segmentation to the binary image, obtains the binary picture of multiple character zones Picture;
The control centre inputs the binary image of each character zone in trained character recognition model, obtains The recognition result of each character zone, the input of the character recognition model are the binary image of single character zone, output To identify obtained character;
The control centre puts in order according to each character zone, and the recognition result of each character zone is arranged Sequence, the license plate number identified, and control the display device and show the license plate number identified;
The control centre judges whether the RGB color value of license plate color is located at the RGB face of preset electric car license plate Within the scope of color value, if it is, the control centre determines that vehicle is electric car;
If vehicle is electric car, whether the control centre is to have infused according to the license plate number enquiring vehicle identified Volume vehicle;
If it is, the control centre communicates with Vehicle Electronic Control Unit corresponding to vehicle, the surplus of vehicle is obtained Remaining electricity;
If the remaining capacity of vehicle is less than preset threshold, the control centre, which searches, charging pile and not in parking lot The parking stall occupied by other vehicles;
The control centre controls the display device and shows that is found has a charging pile and do not occupied by other vehicles The position on parking stall.
Optionally, the system also includes luminance sensor, the control centre is also stored with different range of luminance values pair The binary conversion treatment threshold value answered;
The control centre carries out binary conversion treatment to the gray level image, includes the following steps:
The control centre obtains the detected value of the luminance sensor, is selected according to the detected value of the luminance sensor Corresponding binary conversion treatment threshold value;
Gray value in the gray level image is greater than the pixel of corresponding binary conversion treatment threshold value by the control centre Gray value is set to 255, and gray value in the gray level image is less than or equal to the ash of the pixel of corresponding binary conversion treatment threshold value Angle value is set to 0.
Optionally, the trained character recognition model be convolutional neural networks model, active shape identification model or Supporting vector machine model.
Optionally, the control centre is also used to acquire multiple character zone images with known character label as instruction Practice collection, training character recognition model obtains trained character recognition model.
Optionally, the binary image of each character zone is inputted trained character recognition model by the control centre In, the recognition result of each character zone is obtained, is included the following steps:
The control centre inputs the binary image of each character zone in trained character recognition model, obtains The probability value of possible character corresponding to each character zone, the highest character of select probability value is as corresponding character zone The character identified.
Optionally, the control centre according to the vehicle image at Entrance after identifying to obtain license plate number, note Record license plate number and entry time;
Described image acquisition device is also used to acquire the vehicle image at parking exit;
The control centre is also used to identify the rivet in the vehicle image at the parking exit, determines rivet position It sets;
The control centre positions license plate according to rivet location, and license plate area figure is extracted from the vehicle image Picture;
The control centre extracts the RGB color value of license plate color from the license plate area image;
The control centre carries out gray proces to the license plate area image, obtains gray level image;
The control centre carries out binary conversion treatment to the gray level image, obtains the binaryzation of the license plate area image Image;
The control centre carries out Character segmentation to the binary image, obtains the binary picture of multiple character zones Picture;
The control centre inputs the binary image of each character zone in trained character recognition model, obtains The recognition result of each character zone, the input of the character recognition model are the binary image of single character zone, output To identify obtained character;
The control centre puts in order according to each character zone, and the recognition result of each character zone is arranged Sequence, the license plate number identified;
The license plate number that control centre's judgement identifies whether there is in the license plate number record entered;
If it does not exist, then the control centre extracts the ash of the license plate area image of the vehicle image at parking exit Image is spent, the average gray value of more each character zone selects the wherein minimum character zone of average gray value, as wait adjust Whole character zone;
The control centre inputs the binary image of character zone to be adjusted in trained character recognition model, obtains The probability value of each character into the recognition result of the character zone to be adjusted, successively select probability value is second largest to probability value the Multiple to be determined recognition results of the five big characters as the character zone to be adjusted;
The control centre is successively identified using multiple recognition result replacement originals to be determined of the character zone to be adjusted Number in corresponding character, form multiple license plate numbers to be determined;
The control centre judges whether multiple license plate numbers to be determined have an at least number to be present in the license plate entered In number record;
If it is present the control centre is according to the license plate number to be determined being present in the license plate number entered record Code judges whether it is registered vehicle;
If it is registered vehicle, the contact details of client corresponding to the vehicle are inquired by the control centre, to this Client corresponding to vehicle sends confirmation message, and the confirmation message includes alternative license plate number, parking lot title, vehicle Entry time and vehicle time departure;
If the control centre receives the corresponding license plate number confirmation message of the client, according to the client It holds determining license plate number as the license plate number finally identified, vehicle is allowed to pass through, and remember from the license plate number entered The corresponding record of the license plate number is deleted in record.
Optionally, the control centre identifies the rivet in the vehicle image at the Entrance, determines rivet position It sets, includes the following steps:
The control centre identifies the rivet in the vehicle image, judges the quantity of rivet detected;
If only detecting two rivets, and the angle of the line of the line and horizontal direction of two rivets is less than default folder Angle threshold value judges two rivets then for the rivet of same a line, extends up the first pre-determined distance conduct from the line of two rivets License plate area boundary extends downwards the second pre-determined distance as boundary on the downside of license plate area from the line of two rivets, from Third pre-determined distance is extended to the left as license plate area left border, from across right side rivet across the vertical line of left most rivet Vertical line extends to the right third pre-determined distance as license plate area right side boundary, extracts license plate area image;
If detecting four rivets, judge position is on the upper side in four rivets two rivets for uplink rivet, position Two rivets on the lower side are downlink rivet, extend up the first pre-determined distance as license plate area from the line of two uplink rivets Boundary extends downwards the second pre-determined distance as boundary on the downside of license plate area, from two from the line of two lower section rivets The line of left most rivet extends third pre-determined distance as license plate area left border to the left, from the lines of two right side rivets to Right extension third pre-determined distance extracts license plate area image as license plate area right side boundary.
Optionally, the system also includes the cameras for being set to inner part of parking lot, and the control centre is when subscribing Between acquire the image of each camera, judge whether each parking stall occupied according to the image of each camera;
The control centre searches after having charging pile in parking lot and the parking stall that is not occupied by other vehicles, the control Stopping guide route is planned also according to the position on the parking stall and Entrance found in center processed;
The contact details of client corresponding to the vehicle are inquired by the control centre, to client corresponding to the vehicle Send the parking stall found and stopping guide route.
Optionally, the charging pile in the parking lot includes direct-current charging post and alternating-current charging pile, and the control centre deposits Contain each charging pile position and each charging pile installation, and the control centre is stored with the first preset threshold and second Preset threshold, the first preset threshold is less than the second preset threshold;
If the remaining capacity of vehicle is less than preset threshold, the control centre, which searches, charging pile and not in parking lot The parking stall occupied by other vehicles, includes the following steps:
If the remaining capacity of vehicle is less than the first preset threshold, the control centre, which searches in parking lot, has direct current to fill Electric stake and the parking stall not occupied by other vehicles, if searched less than the control centre, which searches in parking lot, exchange Charging pile and the parking stall not occupied by other vehicles;
If the remaining capacity of vehicle is more than or equal to the first preset threshold and less than the second preset threshold, in the control The heart searches the parking stall for having alternating-current charging pile in parking lot and not occupied by other vehicles.
The embodiment of the present invention also provides a kind of license plate intelligent identification Method for parking lot, using described for stopping The license plate intelligent identifying system of field, described method includes following steps:
Acquire the vehicle image at Entrance;
It identifies the rivet in the vehicle image at the Entrance, determines rivet location;
License plate is positioned according to rivet location, license plate area image is extracted from the vehicle image;
The RGB color value of license plate color is extracted from the license plate area image;
Gray proces are carried out to the license plate area image, obtain gray level image;
Binary conversion treatment is carried out to the gray level image, obtains the binary image of the license plate area image;
Character segmentation is carried out to the binary image, obtains the binary image of multiple character zones;
The binary image of each character zone is inputted in trained character recognition model, each character zone is obtained Recognition result, the input of the character recognition model is the binary image of single character zone, exports identification and obtains Character;
According to putting in order for each character zone, the recognition result of each character zone is ranked up, is identified License plate number out, and control the display device and show the license plate number identified;
Judge whether the RGB color value of license plate color is located within the scope of the RGB color value of preset electric car license plate, If it is, determining that vehicle is electric car;
It whether is registered vehicle according to the license plate number enquiring vehicle identified if vehicle is electric car;
If it is, communicating with Vehicle Electronic Control Unit corresponding to vehicle, the remaining capacity of vehicle is obtained;
If the remaining capacity of vehicle is less than preset threshold, searching in parking lot has charging pile and is not accounted for by other vehicles Parking stall;
The display device shows the position on the parking stall for having charging pile and not occupied by other vehicles found.
Using the license plate intelligent identifying system and method for parking lot in the invention, have the following beneficial effects:
(1) type of vehicle can be judged according to license plate color, and is not enough power supply according to the remaining capacity of electric car Automobile, which is given priority in arranging for, the parking stall of charging pile, preferably offer parking service, due to license plate intelligent identification Method of the invention Need for vehicle allocation parking stall, therefore be not suitable for the parking lot that parking stall is fixed in cell, suitable for market parking lot or Outdoor Public Parking;
(2) charging pile is further divided into the direct-current charging post of fast charge and the alternating-current charging pile of trickle charge, excellent when electricity is very low First recommend direct-current charging post, otherwise, alternating-current charging pile can be recommended, and can be generated from Entrance to parking stall Traveling guiding route, be sent to client, preferably guidance user parking stall that distribution is found in parking lot;
(3) Car license recognition mechanism for correcting errors is introduced, when the license plate that the license plate number that exit recognizes can not enter again When finding in number record, illustrate that license plate number may be wrong, can improve license plate with further progress error correction and corrigendum at this time and know Other accuracy rate.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of the license plate intelligent identifying system for parking lot of the invention;
Fig. 2 is the flow chart of the license plate intelligent identification Method for parking lot of the invention;
Fig. 3 is the schematic diagram of the invention that license plate area is selected according to two rivet locations;
Fig. 4 is the schematic diagram of the invention that license plate area is selected according to two rivet locations.
Specific embodiment
It is further to carry out combined with specific embodiments below in order to more clearly describe technology contents of the invention Description.
License plate intelligent identifying system for parking lot as shown in Figure 1, including image collecting device, secondary light source dress It sets, display device and control centre, in which:
Described image acquisition device acquires the vehicle image at Entrance;
The control centre identifies the rivet in the vehicle image at the Entrance, determines rivet location;
The control centre positions license plate according to rivet location, and license plate area figure is extracted from the vehicle image Picture;
The control centre extracts the RGB color value of license plate color from the license plate area image;
The control centre carries out gray proces to the license plate area image, obtains gray level image;
The control centre carries out binary conversion treatment to the gray level image, obtains the binaryzation of the license plate area image Image;
The control centre carries out Character segmentation to the binary image, obtains the binary picture of multiple character zones Picture;
The control centre inputs the binary image of each character zone in trained character recognition model, obtains The recognition result of each character zone, the input of the character recognition model are the binary image of single character zone, output To identify obtained character;
The control centre puts in order according to each character zone, and the recognition result of each character zone is arranged Sequence, the license plate number identified, and control the display device and show the license plate number identified;
The control centre judges whether the RGB color value of license plate color is located at the RGB face of preset electric car license plate Within the scope of color value, if it is, the control centre determines that vehicle is electric car;
If vehicle is electric car, whether the control centre is to have infused according to the license plate number enquiring vehicle identified Volume vehicle;
If it is, the control centre communicates with Vehicle Electronic Control Unit corresponding to vehicle, the surplus of vehicle is obtained Remaining electricity;
If the remaining capacity of vehicle is less than preset threshold, the control centre, which searches, charging pile and not in parking lot The parking stall occupied by other vehicles;
The control centre controls the display device and shows that is found has a charging pile and do not occupied by other vehicles The position on parking stall.
As shown in Fig. 2, the embodiment of the present invention also provides a kind of license plate intelligent identification Method for parking lot, using described The license plate intelligent identifying system for parking lot, described method includes following steps:
Acquire the vehicle image at Entrance;
It identifies the rivet in the vehicle image at the Entrance, determines rivet location;
License plate is positioned according to rivet location, license plate area image is extracted from the vehicle image;
The RGB color value of license plate color is extracted from the license plate area image;
Gray proces are carried out to the license plate area image, obtain gray level image;
Binary conversion treatment is carried out to the gray level image, obtains the binary image of the license plate area image;
Character segmentation is carried out to the binary image, obtains the binary image of multiple character zones;
The binary image of each character zone is inputted in trained character recognition model, each character zone is obtained Recognition result, the input of the character recognition model is the binary image of single character zone, exports identification and obtains Character;
According to putting in order for each character zone, the recognition result of each character zone is ranked up, is identified License plate number out, and control the display device and show the license plate number identified;
Judge whether the RGB color value of license plate color is located within the scope of the RGB color value of preset electric car license plate, If it is, determining that vehicle is electric car;The license plate of general electric car is RGB that is green, therefore can setting green Color value range is the RGB color value range of preset electric car license plate;
It whether is registered vehicle according to the license plate number enquiring vehicle identified if vehicle is electric car;
If it is, communicating with Vehicle Electronic Control Unit corresponding to vehicle, the remaining capacity of vehicle is obtained;
If the remaining capacity of vehicle is less than preset threshold, searching in parking lot has charging pile and is not accounted for by other vehicles Parking stall;
The display device shows the position on the parking stall for having charging pile and not occupied by other vehicles found.
In this embodiment, the system also includes luminance sensors, are also stored with different range of luminance values corresponding two Value handles threshold value;
Binary conversion treatment is carried out to the gray level image, is included the following steps:
The detected value for obtaining the luminance sensor selects corresponding binaryzation according to the detected value of the luminance sensor Handle threshold value;
The gray value that gray value in the gray level image is greater than the pixel of corresponding binary conversion treatment threshold value is set to 255, the gray value that gray value in the gray level image is less than or equal to the pixel of corresponding binary conversion treatment threshold value is set to 0.
In this embodiment, the trained character recognition model is convolutional neural networks model, the knowledge of ASM active shape Other model or SVM supporting vector machine model etc..
In this embodiment, the control centre is also used to acquire multiple character zone images with known character label As training set, training character recognition model obtains trained character recognition model.Each character zone figure i.e. in training set It include a character as in, and known to the character in each character zone image.
In this embodiment, the binary image of each character zone is inputted trained character and known by the control centre In other model, the recognition result of each character zone is obtained, is included the following steps:
The control centre inputs the binary image of each character zone in trained character recognition model, obtains The probability value of possible character corresponding to each character zone, the highest character of select probability value is as corresponding character zone The character identified.For example, the binary image of a character zone is after inputting character recognition model, the result of output Are as follows: the probability value that character is P is 60%, and the probability value that character is B is 30%, and the probability value that character is 8 is 10%.Then select P The character identified as the character zone.
In this embodiment, the control centre identifies to obtain license plate number according to the vehicle image at Entrance Afterwards, license plate number and entry time are recorded;
Described image acquisition device is also used to acquire the vehicle image at parking exit;
The control centre is also used to identify the rivet in the vehicle image at the parking exit, determines rivet position It sets;
The control centre positions license plate according to rivet location, and license plate area figure is extracted from the vehicle image Picture;
The control centre extracts the RGB color value of license plate color from the license plate area image;
The control centre carries out gray proces to the license plate area image, obtains gray level image;
The control centre carries out binary conversion treatment to the gray level image, obtains the binaryzation of the license plate area image Image;
The control centre carries out Character segmentation to the binary image, obtains the binary picture of multiple character zones Picture;
The control centre inputs the binary image of each character zone in trained character recognition model, obtains The recognition result of each character zone, the input of the character recognition model are the binary image of single character zone, output To identify obtained character;
The control centre puts in order according to each character zone, and the recognition result of each character zone is arranged Sequence, the license plate number identified;
The license plate number that control centre's judgement identifies whether there is in the license plate number record entered;
If it does not exist, then the control centre extracts the ash of the license plate area image of the vehicle image at parking exit Image is spent, the average gray value of more each character zone selects the wherein minimum character zone of average gray value, as wait adjust Whole character zone;
The control centre inputs the binary image of character zone to be adjusted in trained character recognition model, obtains The probability value of each character into the recognition result of the character zone to be adjusted, successively select probability value is second largest to probability value the Multiple to be determined recognition results of the five big characters as the character zone to be adjusted;
The control centre is successively identified using multiple recognition result replacement originals to be determined of the character zone to be adjusted Number in corresponding character, form multiple license plate numbers to be determined;
The control centre judges whether multiple license plate numbers to be determined have an at least number to be present in the license plate entered In number record;
If it is present the control centre is according to the license plate number to be determined being present in the license plate number entered record Code judges whether it is registered vehicle;
If it is registered vehicle, the contact details of client corresponding to the vehicle are inquired by the control centre, to this Client corresponding to vehicle sends confirmation message, and the confirmation message includes alternative license plate number, parking lot title, vehicle Entry time and vehicle time departure;
If the control centre receives the corresponding license plate number confirmation message of the client, according to the client It holds determining license plate number as the license plate number finally identified, vehicle is allowed to pass through, and remember from the license plate number entered The corresponding record of the license plate number is deleted in record, and automatic charging can be carried out according to entry time and time departure.
In this embodiment, the control centre identifies the rivet in the vehicle image at the Entrance, determines Rivet location includes the following steps:
The control centre identifies the rivet in the vehicle image, judges the quantity of rivet detected;
As shown in figure 3, if only detect two rivets A1 and A2, and the line and horizontal direction of two rivets A1 and A2 The angle of line be less than default angle threshold value, illustrate that the line of the two rivets A1 and A2 are substantially parallel with horizontal plane , presetting angle threshold value herein can choose smaller, such as 15 °, 10 ° etc., then judge that two rivets A1 and A2 are same The rivet of a line extends up the first pre-determined distance h1 as license plate area boundary from the line of two rivets A1 and A2, The second pre-determined distance h2 is extended downwards as boundary on the downside of license plate area, from across left side riveting from the line of two rivets A1 and A2 The vertical line of nail A1 extends third pre-determined distance h3 as license plate area left border, from across the vertical of right side rivet A2 to the left Line extends to the right third pre-determined distance h3 as license plate area right side boundary, extracts license plate area image Q;
As shown in figure 4, judging position in four rivets A1, A2, B1, B2 if detecting four rivets A1, A2, B1, B2 Setting two rivets A1, A2 on the upper side is uplink rivet, and position two rivets B1, B2 on the lower side are downlink rivet, from two uplinks The line of rivet A1, A2 extend up the first pre-determined distance h1 as license plate area boundary, from two lower sections rivet B1, B2 Line extend the second pre-determined distance h1 downwards as boundary on the downside of license plate area, from the line of two left most rivets A1, B1 to Left extension third pre-determined distance h3 extends to the right the as license plate area left border, from the line of two right sides rivet A2, B2 Three pre-determined distance h3 extract license plate area image Q as license plate area right side boundary.
In this embodiment, the system also includes the camera for being set to inner part of parking lot, the control centre every Ticket reserving time acquires the image of each camera, judges whether each parking stall is occupied according to the image of each camera;
The control centre searches after having charging pile in parking lot and the parking stall that is not occupied by other vehicles, the control Stopping guide route is planned also according to the position on the parking stall and Entrance found in center processed;
The contact details of client corresponding to the vehicle are inquired by the control centre, to client corresponding to the vehicle Send the parking stall found and stopping guide route.
In this embodiment, the charging pile in the parking lot includes direct-current charging post and alternating-current charging pile, the control Central store have each charging pile position and each charging pile installation, and the control centre is stored with the first preset threshold With the second preset threshold, the first preset threshold is less than the second preset threshold;For example, the first preset threshold can be set to 20%, Second preset threshold can be set to 40% etc., and specific value, which can according to need, to be selected;
If the remaining capacity of vehicle is less than preset threshold, the control centre, which searches, charging pile and not in parking lot The parking stall occupied by other vehicles, includes the following steps:
If the remaining capacity of vehicle is less than the first preset threshold, the control centre, which searches in parking lot, has direct current to fill Electric stake and the parking stall not occupied by other vehicles, if searched less than the control centre, which searches in parking lot, exchange Charging pile and the parking stall not occupied by other vehicles;
If the remaining capacity of vehicle is more than or equal to the first preset threshold and less than the second preset threshold, in the control The heart searches the parking stall for having alternating-current charging pile in parking lot and not occupied by other vehicles.
Compared with prior art, using the license plate intelligent identifying system and method for parking lot in the invention, tool It has the advantages that:
(1) type of vehicle can be judged according to license plate color, and is not enough power supply according to the remaining capacity of electric car Automobile, which is given priority in arranging for, the parking stall of charging pile, preferably offer parking service, due to license plate intelligent identification Method of the invention Need for vehicle allocation parking stall, therefore be not suitable for the parking lot that parking stall is fixed in cell, suitable for market parking lot or Outdoor Public Parking;
(2) charging pile is further divided into the direct-current charging post of fast charge and the alternating-current charging pile of trickle charge, excellent when electricity is very low First recommend direct-current charging post, otherwise, alternating-current charging pile can be recommended, and can be generated from Entrance to parking stall Traveling guiding route, be sent to client, preferably guidance user parking stall that distribution is found in parking lot;
(3) Car license recognition mechanism for correcting errors is introduced, when the license plate that the license plate number that exit recognizes can not enter again When finding in number record, illustrate that license plate number may be wrong, can improve license plate with further progress error correction and corrigendum at this time and know Other accuracy rate.
In this description, the present invention is described with reference to its specific embodiment.But it is clear that can still make Various modifications and alterations are without departing from the spirit and scope of the invention.Therefore, the description and the appended drawings should be considered as illustrative And not restrictive.

Claims (10)

1. a kind of license plate intelligent identifying system for parking lot, which is characterized in that filled including image collecting device, secondary light source It sets, display device and control centre, in which:
Described image acquisition device acquires the vehicle image at Entrance;
The control centre identifies the rivet in the vehicle image at the Entrance, determines rivet location;
The control centre positions license plate according to rivet location, and license plate area image is extracted from the vehicle image;
The control centre extracts the RGB color value of license plate color from the license plate area image;
The control centre carries out gray proces to the license plate area image, obtains gray level image;
The control centre carries out binary conversion treatment to the gray level image, obtains the binary picture of the license plate area image Picture;
The control centre carries out Character segmentation to the binary image, obtains the binary image of multiple character zones;
The control centre inputs the binary image of each character zone in trained character recognition model, obtains each The recognition result of character zone, the input of the character recognition model are the binary image of single character zone, are exported to know The character not obtained;
The control centre puts in order according to each character zone, and the recognition result of each character zone is ranked up, The license plate number identified, and control the display device and show the license plate number identified;
The control centre judges whether the RGB color value of license plate color is located at the RGB color value of preset electric car license plate Within the scope of, if it is, the control centre determines that vehicle is electric car;
If vehicle is electric car, whether the control centre is registered vehicle according to the license plate number enquiring vehicle identified ?;
If it is, the control centre communicates with Vehicle Electronic Control Unit corresponding to vehicle, the residue electricity of vehicle is obtained Amount;
If the remaining capacity of vehicle is less than preset threshold, the control centre, which searches in parking lot, has charging pile and not by it The parking stall that his vehicle occupies;
The control centre controls the display device and shows the parking for having charging pile and do not occupied by other vehicles found The position of position.
2. the license plate intelligent identifying system according to claim 1 for parking lot, which is characterized in that the system is also wrapped Include luminance sensor, the control centre is also stored with the corresponding binary conversion treatment threshold value of different range of luminance values;
The control centre carries out binary conversion treatment to the gray level image, includes the following steps:
The control centre obtains the detected value of the luminance sensor, selects to correspond to according to the detected value of the luminance sensor Binary conversion treatment threshold value;
Gray value in the gray level image is greater than the gray scale of the pixel of corresponding binary conversion treatment threshold value by the control centre Value is set to 255, and gray value in the gray level image is less than or equal to the gray value of the pixel of corresponding binary conversion treatment threshold value It is set to 0.
3. the license plate intelligent identifying system according to claim 1 for parking lot, which is characterized in that described trained Character recognition model is convolutional neural networks model, active shape identification model or supporting vector machine model.
4. the license plate intelligent identifying system according to claim 3 for parking lot, which is characterized in that the control centre It is also used to acquire multiple character zone images with known character label as training set, training character recognition model obtains Trained character recognition model.
5. the license plate intelligent identifying system according to claim 4 for parking lot, which is characterized in that the control centre The binary image of each character zone is inputted in trained character recognition model, the identification knot of each character zone is obtained Fruit includes the following steps:
The control centre inputs the binary image of each character zone in trained character recognition model, obtains each The probability value of possible character corresponding to character zone, knowledge of the highest character of select probability value as corresponding character zone Not Chu character.
6. the license plate intelligent identifying system according to claim 5 for parking lot, which is characterized in that the control centre After identifying to obtain license plate number according to the vehicle image at Entrance, license plate number and entry time are recorded;
Described image acquisition device is also used to acquire the vehicle image at parking exit;
The control centre is also used to identify the rivet in the vehicle image at the parking exit, determines rivet location;
The control centre positions license plate according to rivet location, and license plate area image is extracted from the vehicle image;
The control centre extracts the RGB color value of license plate color from the license plate area image;
The control centre carries out gray proces to the license plate area image, obtains gray level image;
The control centre carries out binary conversion treatment to the gray level image, obtains the binary picture of the license plate area image Picture;
The control centre carries out Character segmentation to the binary image, obtains the binary image of multiple character zones;
The control centre inputs the binary image of each character zone in trained character recognition model, obtains each The recognition result of character zone, the input of the character recognition model are the binary image of single character zone, are exported to know The character not obtained;
The control centre puts in order according to each character zone, and the recognition result of each character zone is ranked up, The license plate number identified;
The license plate number that control centre's judgement identifies whether there is in the license plate number record entered;
If it does not exist, then the control centre extracts the grayscale image of the license plate area image of the vehicle image at parking exit Picture, the average gray value of more each character zone select the wherein minimum character zone of average gray value, as word to be adjusted Accord with region;
The control centre inputs the binary image of character zone to be adjusted in trained character recognition model, is somebody's turn to do The probability value of each character in the recognition result of character zone to be adjusted, successively select probability value is second largest the fifth-largest to probability value Multiple to be determined recognition results of the character as the character zone to be adjusted;
The control centre successively replaces former number identified using multiple recognition results to be determined of the character zone to be adjusted Corresponding character in code forms multiple license plate numbers to be determined;
The control centre judges whether multiple license plate numbers to be determined have an at least number to be present in the license plate number entered In record;
If it is present the control centre is sentenced according to the license plate number to be determined being present in the license plate number entered record Whether disconnected is registered vehicle;
If it is registered vehicle, the contact details of client corresponding to the vehicle are inquired by the control centre, to the vehicle Corresponding client sends confirmation message, and the confirmation message includes alternative license plate number, parking lot title, vehicle entrance Time and vehicle time departure;
If the control centre receives the corresponding license plate number confirmation message of the client, true according to the client Fixed license plate number allows vehicle to pass through as the license plate number finally identified, and from the license plate number record entered Delete the corresponding record of the license plate number.
7. the license plate intelligent identifying system according to claim 1 for parking lot, which is characterized in that the control centre It identifies the rivet in the vehicle image at the Entrance, determines rivet location, include the following steps:
The control centre identifies the rivet in the vehicle image, judges the quantity of rivet detected;
If only detecting two rivets, and the angle of the line of the line and horizontal direction of two rivets is less than default angle threshold Value, then judge two rivets for the rivet of same a line, extend up the first pre-determined distance as license plate from the line of two rivets Region boundary extends downwards the second pre-determined distance as boundary on the downside of license plate area from the line of two rivets, from passing through The vertical line of left most rivet extends third pre-determined distance as license plate area left border, from across the vertical of right side rivet to the left Line extends to the right third pre-determined distance as license plate area right side boundary, extracts license plate area image;
If detecting four rivets, position is on the upper side in four rivets two rivets are judged for uplink rivet, position is on the lower side Two rivets be downlink rivet, from the line of two uplink rivets extend up the first pre-determined distance as license plate area upside Boundary extends downwards the second pre-determined distance as boundary on the downside of license plate area, from two left sides from the line of two lower section rivets The line of rivet extends third pre-determined distance as license plate area left border to the left, expands to the right from the line of two right side rivets Third pre-determined distance is opened up as license plate area right side boundary, extracts license plate area image.
8. the license plate intelligent identifying system according to claim 1 for parking lot, which is characterized in that the system is also wrapped The camera for being set to inner part of parking lot is included, the control centre acquires the image of each camera every the ticket reserving time, according to The image of each camera judges whether each parking stall is occupied;
The control centre searches after having charging pile in parking lot and the parking stall that is not occupied by other vehicles, in the control The heart plans stopping guide route also according to the position on the parking stall and Entrance found;
The contact details of client corresponding to the vehicle are inquired by the control centre, send to client corresponding to the vehicle The parking stall found and stopping guide route.
9. the license plate intelligent identifying system according to claim 1 for parking lot, which is characterized in that in the parking lot Charging pile include direct-current charging post and alternating-current charging pile, the control centre is stored with the position of each charging pile and each fills Electric pile installation, and the control centre is stored with the first preset threshold and the second preset threshold, the first preset threshold is less than Two preset thresholds;
If the remaining capacity of vehicle is less than preset threshold, the control centre, which searches in parking lot, has charging pile and not by it The parking stall that his vehicle occupies, includes the following steps:
If the remaining capacity of vehicle is less than the first preset threshold, the control centre, which searches in parking lot, direct-current charging post And the parking stall not occupied by other vehicles, if searched less than the control centre, which searches in parking lot, AC charging Stake and the parking stall not occupied by other vehicles;
If the remaining capacity of vehicle is more than or equal to the first preset threshold and less than the second preset threshold, the control centre is looked into The parking stall for having alternating-current charging pile and not occupied by other vehicles is looked in parking lot.
10. a kind of license plate intelligent identification Method for parking lot, which is characterized in that use any one of claims 1 to 9 institute The license plate intelligent identifying system for parking lot stated, described method includes following steps:
Acquire the vehicle image at Entrance;
It identifies the rivet in the vehicle image at the Entrance, determines rivet location;
License plate is positioned according to rivet location, license plate area image is extracted from the vehicle image;
The RGB color value of license plate color is extracted from the license plate area image;
Gray proces are carried out to the license plate area image, obtain gray level image;
Binary conversion treatment is carried out to the gray level image, obtains the binary image of the license plate area image;
Character segmentation is carried out to the binary image, obtains the binary image of multiple character zones;
The binary image of each character zone is inputted in trained character recognition model, the knowledge of each character zone is obtained Not as a result, the input of the character recognition model is the binary image of single character zone, export to identify obtained character;
According to putting in order for each character zone, the recognition result of each character zone is ranked up, is identified License plate number, and control the display device and show the license plate number identified;
Judge whether the RGB color value of license plate color is located within the scope of the RGB color value of preset electric car license plate, if It is then to determine vehicle for electric car;
It whether is registered vehicle according to the license plate number enquiring vehicle identified if vehicle is electric car;
If it is, communicating with Vehicle Electronic Control Unit corresponding to vehicle, the remaining capacity of vehicle is obtained;
If the remaining capacity of vehicle is less than preset threshold, searching has a charging pile and is not occupied by other vehicles in parking lot Parking stall;
The display device shows the position on the parking stall for having charging pile and not occupied by other vehicles found.
CN201811144705.5A 2018-09-29 2018-09-29 A kind of license plate intelligent identifying system and method for parking lot Withdrawn CN109447077A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110217120A (en) * 2019-06-18 2019-09-10 环球车享汽车租赁有限公司 Parking management method, system, equipment and medium based on charging balance scheduling
CN111816000A (en) * 2020-08-07 2020-10-23 福建师范大学福清分校 Management system of intelligent charging parking lot
CN112669645A (en) * 2019-10-16 2021-04-16 现代自动车株式会社 Parking guidance system for parking space and parking guidance method using the same
JP2022083327A (en) * 2020-11-24 2022-06-03 トヨタ自動車株式会社 Navigation server, navigation program, and navigation system

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110217120A (en) * 2019-06-18 2019-09-10 环球车享汽车租赁有限公司 Parking management method, system, equipment and medium based on charging balance scheduling
CN112669645A (en) * 2019-10-16 2021-04-16 现代自动车株式会社 Parking guidance system for parking space and parking guidance method using the same
CN111816000A (en) * 2020-08-07 2020-10-23 福建师范大学福清分校 Management system of intelligent charging parking lot
JP2022083327A (en) * 2020-11-24 2022-06-03 トヨタ自動車株式会社 Navigation server, navigation program, and navigation system
JP7452391B2 (en) 2020-11-24 2024-03-19 トヨタ自動車株式会社 Navigation server, navigation program, and navigation system

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