CN112926560A - License plate recognition method, device, equipment and storage medium - Google Patents
License plate recognition method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN112926560A CN112926560A CN201911235756.3A CN201911235756A CN112926560A CN 112926560 A CN112926560 A CN 112926560A CN 201911235756 A CN201911235756 A CN 201911235756A CN 112926560 A CN112926560 A CN 112926560A
- Authority
- CN
- China
- Prior art keywords
- image
- parameter
- license plate
- plate recognition
- current
- 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
- 238000000034 method Methods 0.000 title claims abstract description 40
- 238000004590 computer program Methods 0.000 claims description 5
- 230000007547 defect Effects 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 230000006872 improvement Effects 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000008707 rearrangement Effects 0.000 description 1
- 238000007670 refining Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/141—Control of illumination
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
- G06V20/63—Scene text, e.g. street names
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
- G06V20/625—License plates
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Traffic Control Systems (AREA)
Abstract
The embodiment of the application discloses a license plate recognition method, a license plate recognition device, license plate recognition equipment and a storage medium, wherein the method comprises the following steps: when the basic image parameters are adopted for basic frame image acquisition, reference image parameters are synchronously adopted for reference frame image acquisition; when the license plate recognition result cannot be obtained according to the basic frame image, acquiring the license plate recognition result determined according to the reference frame image as a target recognition result; wherein the reference image parameter comprises a forward light image parameter or a backward light image parameter. According to the technical scheme of the embodiment of the application, the license plate recognition is carried out in the strong cis-trans light environment by adopting the reference frame image acquired by the reference image parameter acquisition, so that the defect that the license plate recognition cannot be carried out on the basic frame image is overcome, and the license plate recognition rate in the strong cis-trans light environment is improved.
Description
Technical Field
The embodiment of the application relates to the technical field of image processing, in particular to a license plate recognition method, a license plate recognition device, license plate recognition equipment and a storage medium.
Background
License plate recognition can be related to application scenes such as parks, common roads, expressways and the like, and the requirement on the accuracy of license plate recognition is higher and higher at present. However, when the light intensity of the detection environment changes, the recognition result of the license plate will be affected to some extent.
In the prior art, a brightness threshold is usually preset, the area brightness of a specific area is compared with the preset brightness threshold, and image parameters are continuously adjusted according to a comparison result until the area brightness is matched with the preset brightness threshold, so that the image effect under different light intensity environments is ensured, and the license plate in the image is conveniently identified.
However, when the image parameters are dynamically adjusted, the adjustment range of the image parameters is limited, and when a strong forward and backward light scene occurs, the image parameters are adjusted to an upper limit value, the image effect is still poor, so that the license plate recognition effect is poor. In addition, if the license plate position is appointed to carry out regional brightness statistics of a specific region, when a few vehicles pass, the image parameter compensation value is counted under normal conditions, and then under a strong clockwise and anticlockwise light scene after a long time interval, when the vehicles pass again, the image parameter compensation value is not applicable any more, so that the quality of the obtained image is poor, and the license plate recognition effect is influenced.
Disclosure of Invention
The application provides a license plate recognition method, a license plate recognition device, license plate recognition equipment and a storage medium, so that the license plate recognition rate can be improved under strong clockwise and anticlockwise light scenes.
In a first aspect, an embodiment of the present application provides a license plate recognition method, which is applied to an image acquisition device, and includes:
when basic image parameters are adopted for basic frame image acquisition, acquiring a license plate recognition result determined according to the reference frame image as a target recognition result;
when the license plate recognition result cannot be obtained according to the basic frame image, processing the synchronously obtained reference frame image to obtain a license plate recognition result;
wherein the reference image parameter comprises a forward light image parameter or a backward light image parameter.
In a second aspect, an embodiment of the present application further provides a license plate recognition apparatus configured in an image capturing device, including:
the image acquisition module is used for synchronously acquiring reference frame images by adopting the reference image parameters when the basic frame images are acquired by adopting the basic image parameters;
the license plate recognition module is used for acquiring a license plate recognition result determined according to the reference frame image as a target recognition result when the license plate recognition result cannot be obtained according to the basic frame image;
wherein the reference image parameter comprises a forward light image parameter or a backward light image parameter.
In a third aspect, an embodiment of the present application further provides an image capturing apparatus, including:
one or more processors;
a memory for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors are enabled to implement a license plate recognition method as provided in an embodiment of the first aspect.
In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a license plate recognition method as provided in the first aspect.
In the embodiment of the application, when the basic image parameters are adopted for basic frame image acquisition, the reference image parameters including the front light image parameters or the back light image parameters are synchronously adopted for reference frame image acquisition; and when the license plate recognition result cannot be obtained according to the basic frame image, acquiring the license plate recognition result determined according to the reference frame image as a target recognition result. According to the technical scheme, the license plate recognition is carried out in the strong cis-trans light environment by adopting the reference frame image acquired by the reference image parameter acquisition, so that the defect that the license plate recognition cannot be carried out on the basic frame image is overcome, and the license plate recognition rate in the strong cis-trans light environment is improved.
Drawings
Fig. 1 is a flowchart of a license plate recognition method according to a first embodiment of the present application;
fig. 2 is a flowchart of a license plate recognition method in the second embodiment of the present application;
fig. 3 is a flowchart of a license plate recognition method in the third embodiment of the present application;
fig. 4 is a structural diagram of a license plate recognition device according to a fourth embodiment of the present application;
fig. 5 is a structural diagram of an image capturing apparatus according to a fifth embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. It should be further noted that, for the convenience of description, only some of the structures related to the present application are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a license plate recognition method in an embodiment of the present application, where the embodiment of the present application is applicable to a situation where a license plate of a running vehicle is recognized in a strong direct-reverse light environment, and the method is implemented by using a license plate recognition device, where the license plate recognition device is implemented by software and/or hardware and is specifically configured in an electronic device with a certain data operation capability, where the electronic device may be an image acquisition device with an image acquisition function.
A license plate recognition method shown in fig. 1 includes:
s110, synchronously acquiring reference frame images by using reference image parameters when acquiring the basic frame images by using the basic image parameters; wherein the reference image parameter comprises a forward light image parameter or a backward light image parameter.
The basic image parameters can be default parameters during image acquisition and are used for acquiring basic frame images in a non-strong forward and backward light environment, and the acquired basic frame images can effectively identify license plates in the non-strong forward and backward light environment.
The reference image parameters can be front-lighting image parameters and are used for carrying out image acquisition in a strong front-lighting environment, and the acquired reference frame images avoid the occurrence of an overexposure condition, so that license plate identification can be effectively carried out; the reference image parameters can also be strong backlight image parameters and are used for image acquisition in a strong backlight environment, and the acquired reference frame images avoid the occurrence of an over-dark condition, so that license plate identification can be effectively carried out.
It should be understood that, because the acquisition of the base frame image and the reference frame image is performed synchronously, in the single frame identification process, a single frame image group including the base frame image and the reference frame image is obtained by means of double-shutter capturing.
And S120, when the license plate recognition result cannot be obtained according to the basic frame image, obtaining the license plate recognition result determined according to the reference frame image as a target recognition result.
It can be understood that, because the time intervals of the front light environment and the back light environment corresponding to different times of each day are different in different months of each year, different dates of each month, and simultaneously, due to the influence of weather, the level limits of the intensity are also different in different environments, which time period is suitable for license plate recognition by using the basic frame image in the single-frame image group and which time period is suitable for license plate recognition by using the reference frame image in the single-frame image group cannot be accurately defined.
In order to ensure that the license plate can be effectively recognized for each running vehicle and reduce the occurrence of license plate missing recognition, the embodiment of the application determines the license plate recognition result according to the basic frame image and the reference frame image respectively, and acquires the license plate recognition result determined according to the reference frame image as the target recognition result when the license plate recognition result cannot be obtained according to the basic frame image. Optionally, when the license plate recognition result is obtained according to the basic frame image, the license plate recognition result determined according to the basic frame image is obtained as the target recognition result.
It can be understood that, in order to reduce the time taken to determine the target recognition result, the license plate recognition result is determined from the basic frame image and the license plate recognition result is determined from the reference frame image in a parallel execution manner.
In the embodiment of the application, when the basic image parameters are adopted for basic frame image acquisition, the reference image parameters including the front light image parameters or the back light image parameters are synchronously adopted for reference frame image acquisition; and when the license plate recognition result cannot be obtained according to the basic frame image, acquiring the license plate recognition result determined according to the reference frame image as a target recognition result. According to the technical scheme, the license plate recognition is carried out in the strong cis-trans light environment by adopting the reference frame image acquired by the reference image parameter acquisition, so that the defect that the license plate recognition cannot be carried out on the basic frame image is overcome, and the license plate recognition rate in the strong cis-trans light environment is improved.
Example two
Fig. 2 is a flowchart of a license plate recognition method in the second embodiment of the present application, and the second embodiment of the present application performs optimization and improvement on the basis of the technical solutions of the foregoing embodiments.
Further, the operation of ' acquiring reference frame images by adopting reference image parameters ' is refined into ' determining the parameter type of the reference image parameters used in the current first granularity time period according to the vehicle driving direction information; wherein the parameter type is a forward light type or a backward light type; and calling the reference image parameters of the parameter types, and acquiring reference frame images to perfect a determination mechanism of the reference image parameters.
A license plate recognition method shown in fig. 2 includes:
s210, determining the parameter type of the reference image parameter used in the current first granularity time period according to the vehicle driving direction information; wherein the parameter type is a forward light type or a backward light type.
Illustratively, the current first granularity time period may be a time of day time period, e.g., 00:00-12: 00.
The vehicle driving direction information may be a direction in which the vehicle drives toward the image capturing device. For example, in a scenario where an image capturing device is installed at a doorway of a campus and license plates of vehicles entering the campus are recognized, the vehicle driving direction information may be the driving direction of the vehicles, and in a scenario where license plates of vehicles leaving the campus are recognized, the vehicle driving direction information may be the driving direction of the vehicles. Illustratively, the vehicle travel direction information includes direction information such as "east to west", "west to east", "south to north", and "north to south".
In an optional implementation manner of the embodiment of the present application, the parameter type of the reference image parameter used in the first granularity time period before the current year is determined according to the vehicle driving direction information may be: and determining the parameter type of the reference image parameter used in the current first granularity time period according to the preset corresponding relation among the vehicle driving direction, the first granularity time information and the parameter type of the reference image parameter.
It is understood that, in order to facilitate management of the vehicle traveling direction information, the vehicle traveling direction information may be simplified into four pieces of direction information, i.e., "east-west", "west-east", "south-north", and "north-south". Specifically, the directions from north to south of 45 ° are collectively referred to as "east"; the direction from north to north is 45 degrees to 45 degrees, which is called as north; the direction from 45 degrees north to 45 degrees south is collectively called as 'west'; the south is 45 ° to the south 45 ° to east, usually "east".
Exemplarily, if the driving direction of the vehicle is from east to west and belongs to the time period from 00:00 to 12:00, determining the parameter type of the reference image parameter as a backlight type; if the vehicle driving direction is from east to west and belongs to a time period of 12:00-24:00, determining that the parameter type of the reference image parameter is a front light type; if the vehicle driving direction is from west to east and belongs to the time period of 00:00-12:00, determining that the parameter type of the reference image parameter is a front light type; if the vehicle driving direction is from west to east and belongs to the time period of 12:00-24:00, determining that the parameter type of the reference image parameter is a backlight type; if the vehicle driving direction is from south to north or from north to south, the parameter type of the reference image parameter can be arbitrarily selected no matter in any time period, or the reference image parameter can be replaced by the basic image parameter.
In an optional implementation manner of the embodiment of the present application, before determining the parameter type of the reference image parameter used in the current first granularity time period according to the vehicle driving direction information, the method may further include: determining current time information according to a built-in timing device of the image acquisition equipment, and determining a current first granularity time period according to the current time information; sending a time information acquisition request to a timing server, and determining a current first granularity time period according to current time information fed back by the timing server based on the time information acquisition request. Wherein the current first granularity time period may be set by a skilled person as desired or empirical or determined iteratively through a number of trials. Illustratively, the current first granularity time period is a 00:00-12:00 time period, or a 12:00-24:00 time period.
In an optional implementation manner of the embodiment of the present application, before determining the parameter type of the reference image parameter used in the current first granularity time period according to the vehicle driving direction information, the determination of the vehicle driving direction information may also be performed.
Optionally, when the image capturing device is installed, the vehicle driving direction information may be directly pre-configured according to the installation location and the shooting requirement, and the configured vehicle driving direction information may be acquired when needed.
Or optionally, the vehicle driving direction information may also identify the guideboard information in the reference frame image, and determine according to the identified guideboard information. For example, at a traffic intersection, a guideboard, such as "road x" or "street x", is generally installed, and there are indicators with opposite directions on both sides of the guideboard, and direction information corresponding to the indicators is marked on one side of each indicator, so that the vehicle driving direction information can be determined by identifying the indicators and the direction information.
It can be understood that, in order to verify the determined vehicle driving direction information, the road name in the guideboard can be identified, and the road direction is determined according to the guideboard naming habit, wherein the general east-west direction is the "road" and the north-south direction is the "street".
S220, when the basic image parameters are adopted for basic frame image acquisition, the reference image parameters of the parameter types are called, and the reference frame image acquisition is synchronously carried out.
In the step, the reference image parameters of the parameter types are called through the determined parameter types, and based on the called reference parameter images, synchronous collection of the reference frame images is carried out when the basic frame images are collected by adopting the basic image parameters, so that guarantee is provided for effectively identifying the license plate in a strong-forward and reverse light environment.
For example, the reference image parameters of different parameter types may be stored in advance in a storage device or a cloud terminal local to the image capturing device or associated with the image capturing device, and before the reference frame image is captured, the corresponding reference image parameters are retrieved according to the determined parameter types, so as to capture the reference frame image based on the retrieved reference image parameters.
And S230, when the license plate recognition result cannot be obtained according to the basic frame image, obtaining the license plate recognition result determined according to the reference frame image as a target recognition result.
According to the method and the device, the reference frame image acquisition operation is refined into the parameter type of the reference image parameter used in the current first granularity time period according to the vehicle driving direction information, the reference image parameter of the parameter type is called, the reference frame image acquisition is synchronously acquired, the parameter type determination mode of the reference image parameter is perfected, the reference image parameter is called and used through the determination of the reference type, and the guarantee is provided for the effective acquisition of the reference frame image.
EXAMPLE III
Fig. 3 is a flowchart of a license plate recognition method in the third embodiment of the present application, and the embodiment of the present application performs optimization and improvement on the basis of the technical solutions of the above embodiments.
Further, the operation of ' acquiring reference frame images by using reference image parameters ' is refined into ' according to the corresponding relation among the image acquisition positions, the time period information and the image parameters which are established in advance, the parameter values of the reference image parameters corresponding to the current acquisition place in the current second granularity time period are determined; and acquiring the reference frame image according to the determined parameter value of the reference image parameter so as to perfect the determination mechanism of the reference image parameter.
A license plate recognition method shown in fig. 3 includes:
s310, determining a parameter value of a reference image parameter corresponding to the current acquisition place in the current second granularity time period according to the pre-established corresponding relation among the image acquisition position, the time period information and the image parameter.
For example, the correspondence relationship between the image acquisition position, the time period information, and the image parameter may be performed in advance in a storage device or a cloud terminal local to the image acquisition device or associated with the image acquisition device, and when determining the parameter value of the image reference parameter, the parameter value of the reference image parameter may be searched and determined according to the correspondence relationship based on the position information of the current acquisition location and the second granularity time period to which the current acquisition time belongs.
It can be understood that the strong anteroposterior optical path lengths of cities corresponding to different image acquisition sites and different acquisition date and time periods are different, but are regularly circulated. Therefore, vehicle images captured by different image acquisition places in different dates in the strong-clockwise and reverse-light environment can be collected in advance, image parameters are debugged by using an image processing tool, corresponding image parameters of different places in different dates are adapted, and the corresponding relation among the image acquisition positions, the time period information and the image parameters is obtained.
Wherein the time period information is a second granularity time period, and the second granularity time period may be a month time period. For example, 12 month shares of a year may be equally divided by a set number, resulting in a different month period as the second granularity period. For example, the division is made by the quarterly, by the month, or the like. Typically, the second granularity time periods comprise months 1-2, months 3-4, months 4-6, months 7-8, months 9-10 and months 11-12, and the current second granularity time period is determined by the current acquisition time.
Optionally, before determining the parameter value of the reference image parameter corresponding to the current acquisition location in the current second granularity time period, the position information of the current acquisition location and the current second granularity time period may also be determined.
In an optional implementation manner of the embodiment of the application, when the position information of the current collection location is determined, the historical license plate recognition results of the current collection location can be classified according to the area identification of the license plate, and the target area identification with the largest classification ratio is determined; and taking the longitude and latitude information corresponding to the target area identification as the position information of the current acquisition place.
Illustratively, the region identification of the license plate may be the first Chinese character of the license plate. Specifically, historical license plate recognition results of a current collection place are obtained, and first Chinese characters in the historical license plate recognition results are extracted; performing statistical classification on the extracted first Chinese characters, and acquiring a region corresponding to the first Chinese character occupying the largest proportion in a classification result as a target region; and taking the longitude and latitude information corresponding to the target area as the position information of the current acquisition place.
It can be understood that, in order to improve the matching degree between the determined position information of the current location and the actual position information, after the classification proportion of the area identifier is determined, and before the target area identifier is determined, the area identifier needs to be further screened by setting a proportion threshold, and only the area identifier with the maximum classification proportion larger than the set proportion threshold is taken as the target area identifier. The set duty threshold may be determined by a technician as needed or empirically, for example, the set duty threshold may be 60%.
In another optional implementation manner of the embodiment of the present application, when determining the position information of the current acquisition location, the current positioning information may be determined according to a positioning device built in the image acquisition device, and longitude and latitude information of the current positioning information may be used as the position information.
In yet another optional implementation manner of the embodiment of the present application, when determining the location information of the current collection location, a location information acquisition request may be sent to a location server, and longitude and latitude information fed back by the location server based on the location information acquisition request is used as the location information.
In an optional implementation manner of the embodiment of the present application, when determining the current second granularity time period, current time information may be determined according to a timing device built in the image capturing apparatus, and the current second granularity time period may be determined according to the current time information.
In another optional implementation manner of the embodiment of the present application, when determining the current second granularity time period, a time information acquisition request may be sent to a timing server, and the current second granularity time period may be determined according to current time information fed back by the timing server based on the time information acquisition request.
And S320, synchronously acquiring the reference frame image according to the determined parameter value of the reference image parameter when the basic frame image is acquired by adopting the basic image parameter.
S330, when the license plate recognition result cannot be obtained according to the basic frame image, obtaining the license plate recognition result determined according to the reference frame image as a target recognition result.
The method comprises the steps of refining the reference frame image acquisition operation into a reference image parameter value corresponding to the current acquisition place in the current second granularity time period according to the pre-established corresponding relation among the image acquisition position, the time period information and the image parameter; the reference frame image is acquired according to the determined parameter value of the reference image parameter, the determination mode of the parameter value of the reference image parameter is perfected, the reference frame image is acquired according to the determined parameter value, and guarantee is provided for effective acquisition of the reference frame image.
Example four
Fig. 4 is a structural diagram of a license plate recognition device in a fourth embodiment of the present application, where the fourth embodiment of the present application is applicable to a situation where a license plate of a running vehicle is recognized in a strong direct-reverse light environment, the device is implemented by software and/or hardware, and is specifically configured in an electronic device with a certain data operation capability, and the electronic device may be an image acquisition device with an image acquisition function.
A license plate recognition device as shown in fig. 4 includes: an image acquisition module 410 and a license plate recognition module 420. Wherein the content of the first and second substances,
the image acquisition module 410 is used for synchronously acquiring reference frame images by using reference image parameters when the basic frame images are acquired by using the basic image parameters;
the license plate recognition module 420 is configured to, when a license plate recognition result cannot be obtained according to the basic frame image, obtain a license plate recognition result determined according to the reference frame image as a target recognition result;
wherein the reference image parameter comprises a forward light image parameter or a backward light image parameter.
In the embodiment of the application, when the image acquisition module adopts the basic image parameters to acquire the basic frame image, the reference image parameters including the front light image parameters or the back light image parameters are synchronously adopted to acquire the reference frame image; and when the license plate recognition result cannot be obtained according to the basic frame image, the license plate recognition module acquires the license plate recognition result determined according to the reference frame image as a target recognition result. According to the technical scheme, the license plate recognition is carried out in the strong cis-trans light environment by adopting the reference frame image acquired by the reference image parameter acquisition, so that the defect that the license plate recognition cannot be carried out on the basic frame image is overcome, and the license plate recognition rate in the strong cis-trans light environment is improved.
Further, the image capturing module 410, when performing reference frame image capturing by using reference image parameters, is specifically configured to:
determining the parameter type of a reference image parameter used in the current first granularity time period according to the vehicle driving direction information; wherein the parameter type is a forward light type or a backward light type;
and calling the reference image parameters of the parameter types to acquire reference frame images.
Further, the image capturing module 410, when performing reference frame image capturing by using reference image parameters, is specifically configured to:
determining a parameter value of a reference image parameter corresponding to the current acquisition place in the current second granularity time period according to a pre-established corresponding relationship among the image acquisition position, the time period information and the image parameter;
and acquiring the reference frame image according to the determined parameter value of the reference image parameter.
Further, the apparatus further comprises a location information determining module configured to:
before determining the parameter value of the reference image parameter corresponding to the current acquisition place in the current second granularity time period according to the corresponding relation among the image acquisition position, the time period information and the image parameter which are established in advance, executing the following operations:
classifying historical license plate recognition results of the current collection place according to the area identification of the license plate, and determining the target area identification when the classification proportion is maximum;
and taking the longitude and latitude information corresponding to the target area identification as the position information of the current acquisition place.
Further, the apparatus includes a time period determination module configured to:
before determining the parameter value of the reference image parameter corresponding to the current acquisition place in the current second granularity time period according to the corresponding relation among the image acquisition position, the time period information and the image parameter which are established in advance, executing the following operations:
determining current time information according to a built-in timing device of the image acquisition equipment, and determining a current second granularity time period according to the current time information; alternatively, the first and second electrodes may be,
and sending a time information acquisition request to a timing server, and determining a current second granularity time period according to current time information fed back by the timing server based on the time information acquisition request.
The license plate recognition device can execute the license plate recognition method provided by any embodiment of the application, and has the corresponding functional modules and beneficial effects of executing the license plate recognition method.
EXAMPLE five
Fig. 5 is a structural diagram of an image capturing apparatus in a fifth embodiment of the present application, where the apparatus includes: input device 510, output device 520, processor 530, and storage device 540.
The input device 510 is configured to perform basic frame image acquisition using basic image parameters, and perform reference frame image acquisition using reference image parameters;
the output device 520 is used for displaying the license plate recognition result;
one or more processors 530;
a storage 540 for storing one or more programs.
The image acquisition equipment can be installed at a park entrance, a high-speed toll station, a traffic road intersection or the like and is used for identifying the license plate of a running vehicle at the installed position.
In fig. 5, a processor 530 is taken as an example, the input device 510 of the image capturing apparatus may be connected to the output device 520, the processor 530 and the storage device 540 through a bus or other means, and the processor 530 and the storage device 540 are also connected through a bus or other means, which is taken as an example in fig. 5.
In this embodiment, the processor 530 in the image capturing apparatus may control the input device 510 to perform basic frame image capturing by using basic image parameters, and when performing basic frame image capturing, control the input device 510 to perform reference frame image capturing by using reference image parameters including front-light image parameters or back-light image parameters synchronously; when the license plate recognition result cannot be obtained according to the basic frame image, the license plate recognition result determined according to the reference frame image is obtained and used as a target recognition result; the output device 520 can also be controlled to output and display the target recognition result.
The storage device 540 of the image capturing apparatus, which is a computer-readable storage medium, can be used to store one or more programs, such as software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the license plate recognition method in the embodiment of the present application (for example, the image capturing module 410 and the license plate recognition module 420 shown in fig. 4). The processor 530 executes various functional applications and data processing of the image capturing device by running software programs, instructions and modules stored in the storage device 540, so as to implement the license plate recognition method in the above-described method embodiment.
The storage device 540 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data and the like (the basic image parameters, the basic frame image, the reference image parameters, the reference frame image, the license plate recognition result, and the like in the above-described embodiments). In addition, the storage 540 may include high speed random access memory and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, storage 540 may further include memory located remotely from processor 530, which may be connected to a server over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
EXAMPLE six
The sixth embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a license plate recognition device, implements the license plate recognition method provided in the embodiments of the present application, and the method includes: when the basic image parameters are adopted for basic frame image acquisition, reference image parameters are synchronously adopted for reference frame image acquisition; when the license plate recognition result cannot be obtained according to the basic frame image, acquiring the license plate recognition result determined according to the reference frame image as a target recognition result; wherein the reference image parameter comprises a forward light image parameter or a backward light image parameter.
From the above description of the embodiments, it is obvious for those skilled in the art that the present application can be implemented by software and necessary general hardware, and certainly can be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods described in the embodiments of the present application.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present application and the technical principles employed. It will be understood by those skilled in the art that the present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the application. Therefore, although the present application has been described in more detail with reference to the above embodiments, the present application is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the appended claims.
Claims (10)
1. A license plate recognition method is applied to image acquisition equipment and is characterized by comprising the following steps:
when the basic image parameters are adopted for basic frame image acquisition, reference image parameters are synchronously adopted for reference frame image acquisition;
when the license plate recognition result cannot be obtained according to the basic frame image, acquiring the license plate recognition result determined according to the reference frame image as a target recognition result;
wherein the reference image parameter comprises a forward light image parameter or a backward light image parameter.
2. The method of claim 1, wherein using the reference image parameters for reference frame image acquisition comprises:
determining the parameter type of a reference image parameter used in the current first granularity time period according to the vehicle driving direction information; wherein the parameter type is a forward light type or a backward light type;
and calling the reference image parameters of the parameter types to acquire reference frame images.
3. The method of claim 1 or 2, wherein the reference frame image acquisition using the reference image parameters comprises:
determining a parameter value of a reference image parameter corresponding to the current acquisition place in the current second granularity time period according to a pre-established corresponding relationship among the image acquisition position, the time period information and the image parameter;
and acquiring the reference frame image according to the determined parameter value of the reference image parameter.
4. The method according to claim 3, wherein before determining the parameter value of the reference image parameter corresponding to the current acquisition location in the current second granularity time period according to the pre-established correspondence between the image acquisition location, the time period information and the image parameter, the method further comprises:
classifying historical license plate recognition results of the current collection place according to the area identification of the license plate, and determining the target area identification when the classification proportion is maximum;
and taking the longitude and latitude information corresponding to the target area identification as the position information of the current acquisition place.
5. The method according to claim 3, wherein before determining the parameter value of the reference image parameter corresponding to the current acquisition location in the current second granularity time period according to the pre-established correspondence between the image acquisition location, the time period information and the image parameter, the method further comprises:
determining current time information according to a built-in timing device of the image acquisition equipment, and determining a current second granularity time period according to the current time information; alternatively, the first and second electrodes may be,
and sending a time information acquisition request to a timing server, and determining a current second granularity time period according to current time information fed back by the timing server based on the time information acquisition request.
6. A license plate recognition device configured in an image capturing apparatus, comprising:
the image acquisition module is used for synchronously acquiring reference frame images by adopting the reference image parameters when the basic frame images are acquired by adopting the basic image parameters;
the license plate recognition module is used for acquiring a license plate recognition result determined according to the reference frame image as a target recognition result when the license plate recognition result cannot be obtained according to the basic frame image;
wherein the reference image parameter comprises a forward light image parameter or a backward light image parameter.
7. The apparatus according to claim 6, wherein the image acquisition module, when performing reference frame image acquisition using the reference image parameters, is specifically configured to:
determining the parameter type of a reference image parameter used in the current first granularity time period according to the vehicle driving direction information; wherein the parameter type is a forward light type or a backward light type;
and calling the reference image parameters of the parameter types to acquire reference frame images.
8. The apparatus according to claim 6, wherein the image acquisition module, when performing reference frame image acquisition using the reference image parameters, is specifically configured to:
determining a parameter value of a reference image parameter corresponding to the current acquisition place in the current second granularity time period according to a pre-established corresponding relationship among the image acquisition position, the time period information and the image parameter;
and acquiring the reference frame image according to the determined parameter value of the reference image parameter.
9. An image acquisition apparatus, characterized by comprising:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a license plate recognition method as recited in any of claims 1-5.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a license plate recognition method according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911235756.3A CN112926560A (en) | 2019-12-05 | 2019-12-05 | License plate recognition method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911235756.3A CN112926560A (en) | 2019-12-05 | 2019-12-05 | License plate recognition method, device, equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112926560A true CN112926560A (en) | 2021-06-08 |
Family
ID=76160982
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911235756.3A Pending CN112926560A (en) | 2019-12-05 | 2019-12-05 | License plate recognition method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112926560A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104253950A (en) * | 2014-09-03 | 2014-12-31 | 北京汉王智通科技有限公司 | Intelligent dimming method and system of surveillance camera |
| US20160112630A1 (en) * | 2014-10-15 | 2016-04-21 | Microsoft Corporation | Camera capture recommendation for applications |
| CN106357987A (en) * | 2016-10-19 | 2017-01-25 | 浙江大华技术股份有限公司 | Exposure method and device |
| CN108875746A (en) * | 2018-05-17 | 2018-11-23 | 北京旷视科技有限公司 | A kind of licence plate recognition method, device, system and storage medium |
-
2019
- 2019-12-05 CN CN201911235756.3A patent/CN112926560A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104253950A (en) * | 2014-09-03 | 2014-12-31 | 北京汉王智通科技有限公司 | Intelligent dimming method and system of surveillance camera |
| US20160112630A1 (en) * | 2014-10-15 | 2016-04-21 | Microsoft Corporation | Camera capture recommendation for applications |
| CN106357987A (en) * | 2016-10-19 | 2017-01-25 | 浙江大华技术股份有限公司 | Exposure method and device |
| CN108875746A (en) * | 2018-05-17 | 2018-11-23 | 北京旷视科技有限公司 | A kind of licence plate recognition method, device, system and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP3806064B1 (en) | Method and apparatus for detecting parking space usage condition, electronic device, and storage medium | |
| CN108877269B (en) | Intersection vehicle state detection and V2X broadcasting method | |
| CN202422423U (en) | Vehicle license plate recognition device and system | |
| CN108550258B (en) | Vehicle queuing length detection method and device, storage medium and electronic equipment | |
| CN101923784A (en) | Traffic light regulating system and method | |
| CN108932849B (en) | Method and device for recording low-speed running illegal behaviors of multiple motor vehicles | |
| CN112364898A (en) | Image identification automatic labeling method, device, equipment and storage medium | |
| CN112863194B (en) | Image processing method, device, terminal and medium | |
| CN109120916B (en) | Camera fault detection method and device and computer equipment | |
| WO2023207624A1 (en) | Data processing method, device, medium, and roadside collaborative device and system | |
| WO2023241595A1 (en) | Parking space range processing method and computing device | |
| CN112926560A (en) | License plate recognition method, device, equipment and storage medium | |
| CN113014876A (en) | Video monitoring method and device, electronic equipment and readable storage medium | |
| CN116935134A (en) | Point cloud data labeling method, point cloud data labeling system, terminal and storage medium | |
| CN103337168A (en) | A method, an apparatus, and a system for vehicle data acquisition | |
| CN113888865B (en) | Electronic device and vehicle information acquisition method | |
| CN105303825A (en) | Violating inclined side parking evidence obtaining device and method | |
| CN112215038A (en) | Specific vehicle identification system, method, and storage medium | |
| CN104537618A (en) | Image processing method and device | |
| CN114241373A (en) | End-to-end vehicle behavior detection method, system, equipment and storage medium | |
| CN111275006A (en) | Information interaction method, device and system, mobile device and electronic device | |
| CN110012351A (en) | Label data acquisition methods, memory, terminal, vehicle and car networking system | |
| CN108257408B (en) | Cooperative parking space monitoring system | |
| CN205508136U (en) | Electronic police monitoring system that makes a dash across red light | |
| CN117831000A (en) | Traffic light detection method and device, electronic equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |