KR101696519B1 - Number plate of vehicle having boundary code at its edge, and device, system, and method for providing vehicle information using the same - Google Patents

Abstract

A car number identification system using a boundary code provided at an edge of a license plate of the present invention includes a license plate of a vehicle provided with a boundary code in an edge area and a car code number information storage unit which converts the car code information into original car number information, And a vehicle number recognizing device for displaying or transmitting to the outside. According to the present invention, the pattern recognition is easy even at a long distance despite the image bubbling of the high-speed vehicle, and there is little probability of failing to recognize the pattern.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a vehicle number recognition system using a boundary code provided on an edge of a license plate and a vehicle license plate including a boundary code on an edge of the license plate, providing vehicle information using the same}

The present invention relates to a car number identification apparatus, system and method using a boundary code provided at the edge of a car license plate, a license plate, and more particularly to a vehicle license plate which has various patterns and sizes mixed, Particularly, in order to solve the problem that the vehicle is inclined, blurred at overspeed, or the number detection result is changed in the remote plate, pattern recognition is possible even when the image is doubled, The pattern recognition is clear even when the vehicle is inclined. By arranging the line pattern in the edge area, it is easy to recognize the pattern even at a long distance, so that the car number information can be successfully The boundary code that can be obtained with A car number identification device, a system, and a car number identification method.

Generally, facilities such as department stores, apartments, and paid parking lots use a large number of personnel to manage the vehicle. However, in order to reduce labor costs, a system has been developed in which a camera is installed at the entrance and exit of a parking lot, a license plate of an entering vehicle is photographed, and the license plate is recognized as letters and numbers to identify the vehicle and settle the parking fee.

Referring to FIG. 1, a conventional car number recognition system detects a license plate area using a camera and image processing means, corrects the license plate area (S20), divides the license plate area (S30) (S40), and recognizes digits and characters by digits (S50).

At this time, referring to FIG. 2, the shape and size of the license plate vary according to the type of vehicle, and the number and character pattern of each number printed thereon are also different. The process of dividing the license plate area and recognizing numbers and letters is very complicated and difficult, and it is difficult to recognize it.

On the other hand, the camera has an exposure time for giving a predetermined time exposure to the image sensor to obtain one image frame. When a moving vehicle is photographed, since the vehicle photographed during such exposure time is not at rest, image blurring occurs with respect to movement during the camera exposure time. If such image blurring occurs, information of the moving vehicle is lost in the image, and the camera can not function.

As described above, if the vehicle passes through the camera intermittent area at a high speed because it is a tollgate area, it is difficult to recognize the number of the license plate by the motion blurring phenomenon as shown in FIG. Further, if the vehicle intentionally passes through both lanes at an angle, the license plate is taken obliquely so that the image processing is difficult, and even if the image processing is possible, the image quality deteriorates and the number information recognition is practically impossible.

According to the conventional vehicle number recognition apparatus and method, the above-described motion blurring phenomenon can not be avoided. It is difficult to recognize the car number.

As described above, the image processing for recognizing the car number information requires a very sharp image, and the camera used here is also a high-definition camera. In the nighttime, a special illumination near infrared ray camera , An expensive camera is required, and as a result, the total cost is increased.

Patent Document 10-2014-0078088

SUMMARY OF THE INVENTION Accordingly, the present invention has been made keeping in mind the above problems occurring in the prior art, and it is an object of the present invention to provide a number-based vehicle information acquiring apparatus, in which a vehicle number recognition rate is rapidly deteriorated in an adverse environment such as a motion blur of a vehicle A method, apparatus and system for recognizing a car number, which can easily recognize a car number regardless of motion blur even if a normal camera is used to solve a fundamental limitation.

Another object of the present invention is to provide a vehicle number recognition method, an apparatus and a system in which a code is provided on the entire rim of a license plate so that vision-based license number recognition is possible even in a high-speed driving vehicle.

It is still another object of the present invention to provide a car number identification method, apparatus and system for automatically recognizing a car number by camera shooting and providing off-line code information corresponding to a car number on-line to a car control server.

It is another object of the present invention to provide a method, apparatus and system for recognizing a car number in which image pattern configuration is easy to prevent recognition of a code in which car number information is encoded.

It is still another object of the present invention to provide a method, apparatus and system for recognizing a car number capable of recognizing a code by utilizing an edge corner contour of a license plate.

It is still another object of the present invention to provide a car number recognition method, an apparatus and a system capable of recognizing codes by recognizing only the presence or absence of a code at a specific location.

It is still another object of the present invention to provide a car number identification method, apparatus and system capable of combining a plurality of codes so that the car number information corresponds to an actual car in the whole country.

According to an aspect of the present invention, there is provided a car number recognition system including: a license plate of a vehicle provided with a boundary code in an edge area; And a car number identification device for storing, displaying, or transmitting car number information to the outside.

According to another aspect of the present invention, a vehicle license plate of the present invention includes a cover area where original vehicle information is disposed, an edge area around the periphery of the cover area where the original vehicle information is arranged in the form of an identification code, The original vehicle information is represented by numbers or letters in the area, the identification code of the edge area is a boundary code, the edge area includes four corner blocks, and the boundary code is located in the four corner blocks.

According to another aspect of the present invention, a vehicle number recognition apparatus of the present invention is a vehicle number recognition apparatus that collects image data of a vehicle pattern, detects a license plate from the collected image data, The apparatus comprises a smart device equipped with an image processing application (APP) for detecting the license plate and a code analysis application (APP) for recognizing the license plate number information on the license plate, Wherein the image processing APP includes a vehicle pattern detecting program for detecting the vehicle pattern from the image data and a license plate pattern detecting program for detecting the license plate pattern in the vehicle pattern, An edge detection program for detecting an area in the edge area, In the image extraction program, and the pattern image to extract the image includes an image processing program for generating the car number information.

According to another aspect of the present invention, a car number recognition method of the present invention includes the steps of photographing a license plate of a vehicle, detecting a pattern of the license plate, detecting an edge area of the license plate, Dividing the edge area into code blocks, extracting an identification code for each of the segmented edge areas, and extracting the car number information by interpreting the identification code.

As described above, according to the configuration of the present invention, the following effects can be expected.

First, vehicle number information can be acquired successfully regardless of the shape or size of the license plate.

Second, since it is easy to recognize the car number information, the present invention can be applied to a smart tolling system capable of billing a vehicle traveling at a high speed using a controller without a toll gate.

Third, the boundary code can easily recognize the car number information by easily recognizing the code by adjusting the length or the thickness of the pattern, and it is easy to recognize the number. Therefore, without using a remote server, The number information can be extracted.

Fourth, since the edge area of the license plate which does not concentrate the user's attention is utilized, it does not inconvenience the user and does not hinder the recognition of the car number information originally.

Fifth, since only the presence or absence of a specific image pattern needs to be recognized, there is little probability of failure in pattern recognition.

Sixth, it is possible to combine a large number of codes according to whether there is a pattern, a length, a thickness, a type, and a combination of icons.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a flowchart showing a car number recognition method according to the prior art;
FIG. 2 is a view showing various shapes and sizes of a license plate according to the prior art.
FIG. 3 is a view showing a conventional image blurring phenomenon of a high-speed traveling vehicle.
4 is a block diagram of a car number identification system according to the present invention;
5 is a block diagram of a car number recognition apparatus according to the present invention;
Figures 6 to 8 are elevation views of a license plate comprising a boundary code on an edge according to the present invention.
9 is a flowchart showing a car number identification method according to the present invention.

Brief Description of the Drawings The advantages and features of the present invention, and how to achieve them, will become apparent with reference to the embodiments described in detail below with reference to the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as being limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. Is provided to fully convey the scope of the invention to those skilled in the art, and the invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, preferred embodiments of a vehicle identification system using a boundary code provided on an edge of a license plate according to the present invention will be described in detail with reference to the accompanying drawings.

The vehicle identification apparatus of the present invention can be applied to a technical field of a building access control system which is fixedly installed in an access control area such as a road or a building and performs a function of collecting vehicle information entering the access control area. And a vehicle information comprehensive server communicating with the network can carry out a retirement measure such as a warning alarm when it is judged that the information collection result is not a vehicle to which access is granted.

The car number recognition apparatus of the present invention can be applied to a technical field related to a parking fee settlement for collecting vehicle information for entering or leaving a parking lot in order to charge a parking fee. The vehicle information comprehensive server that communicates with the network can calculate the parking time of the corresponding vehicle, determine the parking charge, and notify it.

The vehicle identification apparatus of the present invention can be applied to a parking interception related technical field installed in an intermittent vehicle for interrupting an illegal main / stop vehicle. The network information communication server that communicates with the network determines whether illegal state / stopping is performed in comparison with the illegal state / stop criteria, and can inform the owner terminal of the vehicle (C) of the illegal state / stop if necessary.

The car number recognition apparatus of the present invention can be applied to a technical field related to forward vehicle information collection installed in a black box of a police car or a general car for arresting aft or other crime vehicles. And the vehicle information comprehensive server communicating with the network can report the crime vehicle to the police server or the prosecution server.

4, a vehicle number recognition system 1000 using a boundary code provided at an edge of a license plate of the present invention includes a license plate M provided with an identification code 102 at an edge, 102) to the vehicle number information. (S) for generating and storing additional information related to the vehicle number information or the vehicle number information in real time and providing the same to the vehicle number recognizing device (T).

The license plate M means a cover that visually informs the number information of the vehicle C. Originally, the car number information can be composed of a combination of numbers and characters that the user can directly recognize.

The license plate M includes a cover region M1 in which vehicle number information of the number and character combination described above is disposed and a cover region M1 surrounding the edge of the cover region M1 in which original car number information is arranged in the form of an identification code 102 Area M2.

The vehicle identification apparatus T can generate and store the vehicle identification information as it is, and can transmit the vehicle identification information to the outside using the communication means. For example, it may include a mobile terminal such as a smart phone, a mobile phone, an iPhone, and a notebook computer. Accordingly, a terminal that can have various communication functions such as communication via a network and a short-range wireless communication can be all included herein. However, it is assumed that the vehicle number recognition device T is equipped with a scanner or a camera module.

5, the vehicle number recognizing apparatus T includes an image collecting module 110 for collecting image data of the vehicle C including a license plate M, And a code analyzing module 130 for extracting the number information from the license plate M. The image processing module 120 may be a digital camera,

The vehicle number recognition apparatus T includes an information storage module 140 for storing number information, an information display module 150 for displaying or telling the number information to the user, and an information communication module 160 for transmitting the number information to the outside ). ≪ / RTI >

The image collection module 110 includes a lens 112 for receiving an optical signal for an image of the vehicle C including the license plate M and a control unit 112 for changing the received optical signal into an electrical image signal necessary for image processing And a camera module including an image sensor 114 for generating image data. The image acquisition module 110 may be a color camera module that further includes a color filter array composed of RGB filters when the identification code 102 includes a color pattern.

The image sensor 114 may include a CCD (Charge Coupled Device) image sensor, a CMOS (Complementary Metal Oxide Semiconductor) image sensor, and the like. In addition, the color camera module may include an image, a web, or various digital cameras in addition to a CCD and a CMOS.

The image processing module 120 includes a vehicle pattern detecting section 122 for detecting a vehicle C pattern from image data and a license plate pattern detecting section 124 for detecting a license plate pattern of a specific shape in the vehicle C pattern, .

The vehicle pattern detecting unit 122 removes noise using a local average filter in the image data so as to emphasize the pattern boundary of the specific shape of the vehicle C and uses the spectrum equalization to extract a specific pattern The brightness of the image can be corrected. For example, a correction may be performed to remove the shadow effect, or a certain color pattern may be changed to a gray pattern, and then the gray pattern contrast value may be smoothed to have a constant contrast value distribution.

The license plate pattern detection unit 124 can detect only the license plate (C) pattern in the vehicle C pattern. For example, using a knowledge based algorithm such as a license plate recognition algorithm, the license plate M is roughly square and centrally located over the entirety of the vehicle C, (M) pattern in the vehicle (C) pattern.

Alternatively, if the white background color is black and the other colored number is repeated in the serial, it can be recognized as a plate number M. Alternatively, the plate pattern detector 124 may detect the plate (M) pattern by comparing the information with the sample information of the stored DB using the DB storing the shape information and the size information of the vehicle (C) plate .

On the other hand, when the vehicle C is not located on a straight line with the camera module, the angle of the vehicle C can be extracted and the direction value of the vehicle can be calculated. For example, if the license plate patterns are mutually asymmetric, the identification code 102 of the license plate M can be recognized by reflecting the direction value. In the case where the number plate M is not aligned as such, it is possible to perform a function of aligning the number plate M and rotating and aligning the number plate M, and adjusting the same size environment even when the size of the number plate M is different.

The code analysis module 130 includes an edge detection section 132 for detecting the edge area M2 of the license plate M and a pattern image of the identification code 102 in the edge area M2, An image extraction unit 134 for extracting a pattern image from the pattern image, and an image processing unit 136 for generating the number information from the pattern image using the DB stored in advance with the code data corresponding to the pattern image. Here, the code data stored in the DB is a code for converting the pattern image into the number information.

The image extracting unit 134 includes an area dividing unit 134a for dividing an edge area into code blocks (for example, four corner blocks) B and a block processing unit 134b for processing an identification code for each code block B, . Accordingly, the edge area includes four corner blocks, and the code block corresponds to four corner blocks, so that the block processing section 134b processes the identification code 102 for every four corner blocks.

On the other hand, the car number recognition apparatus T of the present invention may be installed in an image recording apparatus of a car black box or may be a car black box itself. In this way, the car number identification device T can be used for vehicle control service by uploading car number information of the surrounding car, photographed in off-line, to the general server S in combination with the communication technology.

If a smart device is used as the car number recognition device T, the image processing APP and the code analysis APP are downloaded to the smart device, and the image processing APP and code analysis APP are downloaded from the image data to the vehicle C, A license plate detection program for detecting the license plate pattern in the vehicle C pattern; an edge detection program for detecting the edge area M2 of the license plate M; The identification code 102 can be converted into the car number information by using an image extraction program for extracting the pattern image of the identification code 102 from the pattern image and an image processing program for generating the number information from the pattern image. When code information is converted using a smart device, it is not necessary to provide a separate storage module, a camera module, or a communication module.

As described above, according to the car number identification system 1000 using the boundary code provided at the edge of the license plate in the present invention, the smart device equipped with the camera module simply implements image processing and code interpretation APP, Can be provided.

The vehicle information comprehensive server S receives the vehicle number via the wired / wireless network, puts the vehicle number DB, and determines whether there is an event by comparing the related information with the vehicle number. Here, an event may include whether a parking fee is generated, whether the vehicle is theft or other crime. For example, if the vehicle number is registered in the vehicle number DB as a stolen vehicle, it can be immediately notified to the related authority.

The vehicle information comprehensive server S can also support the identification code 102 and convert (encode) the car number information into the identification code 102 in the license plate M. [

The present invention can directly decode the car number information through the code data stored in the car number recognizing device T. The car number recognizing device T includes a car information collecting server S and a network Communication can be performed to receive the car number information.

In the present invention, the identification code 102 includes a pattern image. Here, the pattern image can be designed in the form of a boundary code that can be placed in the edge area M2 of the plate M.

The boundary code may be located at the edge of the license plate M, more specifically in the corner block, so as not to interfere with the user's view with the pattern image, as shown in Figures 6-8. Therefore, the code block B divided by the area dividing section 134a may be four corner blocks.

6, if the code block B having a predetermined area is divided into four corner blocks, the boundary code is located at the corner of the license plate M, and the boundary code is directional It can be designed as an "L" type. At this time, the boundary code may be a line pattern.

Thus, each corner block has a "━" pattern, no, and a "┃" pattern, and is composed of a combination of none and nothing. If there are both "━" patterns and "┃" patterns, there are only "━" patterns, there are only "┃" patterns, and there are no "━" patterns and "┃" , Each corner block can have 2 bits (the square of 2) of information. 4 corner blocks can have 8 bits (2 to 8 squared) of information. Thus, one plate M having four corner blocks can basically express 255 information.

11 " 11 "and becomes" 255 "when there are all the " L" patterns in the four corner blocks, Quot; L "pattern exists in only the first first corner block, it becomes" 11 00 00 00 ", so that it has a value of "2 ".

Some patterns may be used as reference points for dividing the license plate M up, down, left, and right.

Since there is at least a line pattern at each corner of the number plate M and it is sufficient to recognize only the line pattern, there is little probability of failing to recognize the pattern.

The above line pattern is expandable through pattern transformation.

Referring to FIG. 7, there is a line, and there is a line, a thickness, a color, a type (for example, solid line / dotted line or straight line / ridge line) Can be more.

For example, the first corner block is coded by a combination of (a), (b) and (c), and the second corner block is coded by a combination of a long line (c) and a short line (d) 3 Corner blocks are coded by a combination of a solid line (ⓔ) and a dashed line (ⓕ), and the fourth corner block is coded by a combination of (ⓖ) and ((아이콘). Other combinations of bold lines and thin lines, and combinations of various color lines can be considered.

For example, in addition to the presence or absence of a line (with or without a line), the length of the line (long and short lines), the type of line (solid and dashed lines) When included, all 32 bits (32 squared of 2 = up to 4,294,967,296) can be distinguished.

The above line pattern can be further expanded by duplicating the pattern line.

Referring to FIG. 8, if the line pattern of the above-described embodiment is extended to two lines again, content information can be obtained up to 32 bits X 32 bits (32 squares of X 2 to 32 squares). With this amount of information, it is possible to make a plurality of code combinations as many as the actual number of vehicles so as to correspond to each vehicle in the whole country.

Hereinafter, a method of providing the vehicle number information using the boundary code provided at the edge of the license plate will be described.

First, the license plate number M is encoded with the boundary code. The vehicle information comprehensive server S can design the boundary code as described above. The car number information is decoded by using the car number identification device T described below.

Hereinafter, a decoding light fixture will be described in detail with reference to FIG.

The vehicle C including the license plate M is photographed using the image collection module 110 of the car number recognition apparatus T. S110: (S120) The edge detection section 132 of the code analysis module 130 is used to detect the edge area M1 of the license plate M. (S130) (Rotation aligning / size aligning) of the edge area M1 of the substrate (S140). (S140)

Even if the license plate M is taken at an angle, the screen M is aligned clockwise or counterclockwise. In addition, since the size may be different for each license plate M, the size may be aligned with the rotation direction before extracting the identification code 102. [

The edge area M1 is divided into a plurality of code blocks in step S150. The identification code 102 is extracted for each edge area M1 in step S160. S170)

In extracting the pattern image of the identification code 102 from the edge area M1 using the image extracting unit 134, the edge area is divided into four code blocks B, and the divided identification code 102 is divided into Interpret. Thus, the identification code 102 can be converted into the car number information.

As described above, according to the present invention, a number plate of a vehicle is mixed in various patterns and sizes, and the number detection is complicated. In particular, when the vehicle is inclined and blurred at overspeed, In order to solve the problem that the identification code is arranged by using an edge area which is not used in the license plate, the identification code is arranged so that it does not violate the user's view and is not in conflict with the original vehicle information, Even if the vehicle is inclined, the pattern recognition is clear. By arranging the line pattern in the edge area, it is possible to realize the pattern recognition easily at a long distance by the technical idea . Many other modifications will be possible to those skilled in the art, within the scope of the basic technical idea of the present invention.

1000: Vehicle identification system T: Vehicle identification system
M: License plate M1: Cover area
M2: edge region 102: identification code
110: image acquisition module 112: lens
114: image sensor 120: image processing module
122: vehicle pattern detection unit 124: license plate pattern detection unit
130: code analysis module 132: edge detection unit
134: image extracting unit 134a: area dividing unit
134b: block processing unit 136:
140: information storage module 150: information display module
160: Information communication module

Claims (11)

A number plate of the vehicle in which the boundary code is provided in the edge area; And
And a car number identification device for converting the boundary code into original car number information and storing, displaying or transmitting the car number information to the outside,
Wherein the boundary code is located in four corner blocks of the edge region,
An "L" type line pattern having directionality according to the block position,
As a combination of the length, the thickness, and the type of the line pattern,
The length of the line is a combination of a long line and a short line,
The thickness of the line is a combination of a thick line and a thin line,
The type of the line is a combination of a solid line and a dotted line,
Wherein the boundary number information includes numbers and characters, the boundary code defines information of the numbers and characters,
Wherein the line pattern includes a pattern having a directional pattern of " - "and a pattern of "'", wherein the long and short patterns of the " Wherein the vehicle identification number can have a unique identification value according to the original vehicle number information according to whether the solid line of the pattern and the pattern is dotted. delete The method according to claim 1,
The vehicle number recognizing apparatus comprises:
An image collection module for collecting image data of the vehicle;
An image processing module for processing the image data to detect the license plate; And
And a code interpretation module for extracting the car number information from the license plate. The method of claim 3,
The image processing module includes:
A vehicle pattern detector for detecting a vehicle pattern from the image data; And
And a license plate pattern detector for detecting a license plate pattern of a specific shape in the vehicle pattern. The method of claim 3,
Wherein the code interpretation module comprises:
An edge detection unit detecting the edge region;
An image extracting unit for extracting a pattern image of the boundary code in the edge area; And
And an image processing unit for generating the vehicle number information in the pattern image. 6. The method of claim 5,
Wherein the image extracting unit comprises:
An area dividing unit dividing the edge area into a plurality of code blocks; And
And a block processor for processing the boundary code for each code block,
Wherein the edge area includes four corner blocks, and the code block corresponds to the four corner blocks, whereby the block processing unit processes the boundary code for each of the four corner blocks. A cover area in which vehicle information is originally placed,
And an edge area in which the original vehicle information is arranged in the form of an identification code around an edge of the mark area,
The original vehicle information is displayed in numbers or letters in the cover area,
Wherein the identification code of the edge region is a boundary code,
Wherein the edge region comprises four corner blocks,
The boundary code is located in the four corner blocks,
Wherein the boundary code includes a line pattern designed as an "L" type having a direction according to a position of the four corner blocks, so that, as a combination of the length, thickness and type of the line pattern located in the four corner blocks,
The length of the line is a combination of a long line and a short line,
The thickness of the line is a combination of a thick line and a thin line,
The type of the line is a combination of a solid line and a dotted line,
Wherein the original vehicle number information includes numbers and characters, and the boundary code defines information of the numbers and characters,
The line pattern includes a directional pattern "━" and a pattern "┃" in the four corner blocks, and the long and short patterns of the "━" pattern and the " Characterized in that it can have a unique identification value according to the original vehicle number information depending on whether it is coarse or fine, and whether the "━" pattern and the "┃" pattern are dotted with solid lines. delete delete A car number recognition apparatus for collecting image data of a vehicle pattern, detecting a car license plate from the acquired image data, and recognizing car number information from the license plate,
The vehicle number recognizing apparatus comprises:
An image processing application (APP) for detecting the license plate, and
And a smart device equipped with a code analysis application (APP) for recognizing the car number information on the license plate,
The image processing APP includes:
A vehicle pattern detecting program for detecting the vehicle pattern from the image data,
And a license plate pattern detecting program for detecting license plate patterns in the vehicle pattern,
The code analysis APP includes:
An edge detection program for detecting an edge area of the license plate,
An image extraction program for extracting a pattern image of the identification code in the edge area, and
And an image processing program for generating the car number information from the pattern image
Wherein the identification code is composed of a boundary code,
Wherein the boundary code is located in four corner blocks of the edge region,
An "L" type line pattern having directionality according to the block position,
As a combination of the length, the thickness, and the type of the line pattern,
The length of the line is a combination of a long line and a short line,
The thickness of the line is a combination of a thick line and a thin line,
The type of the line is a combination of a solid line and a dotted line,
Original vehicle number information includes numbers and characters, and the boundary code defines the number and character information,
The line pattern includes a directional pattern "━" and a pattern "┃" in the four corner blocks, and the long and short patterns of the "━" pattern and the " Characterized in that it can have a unique identification value according to the original vehicle number information depending on whether the solid line of the pattern of "━" and the pattern of "┃" is thick or not. Photographing a license plate of a vehicle;
Detecting a pattern of the license plate;
Detecting an edge region of the plate;
Aligning an edge region of the plate;
Dividing the edge region into code blocks;
Extracting an identification code for each of the segmented edge regions; And
And extracting the car number information by analyzing the identification code,
Wherein the identification code is composed of a boundary code,
Wherein the boundary code is located in four corner blocks of the edge region,
An "L" type line pattern having directionality according to the block position,
As a combination of the length, the thickness, and the type of the line pattern,
The length of the line is a combination of a long line and a short line,
The thickness of the line is a combination of a thick line and a thin line,
The type of the line is a combination of a solid line and a dotted line,
Original vehicle number information includes numbers and characters, and the boundary code defines the number and character information,
The line pattern includes a directional pattern "━" and a pattern "┃" in the four corner blocks, and the long and short patterns of the "━" pattern and the " Characterized in that it is possible to have a unique identification value according to the original vehicle number information depending on whether the solid line of the pattern of "━" and the pattern of "┃" is thick or not.

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