WO2017124303A1 - License plate recognition method and system for intelligent transportation - Google Patents

License plate recognition method and system for intelligent transportation Download PDF

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Publication number
WO2017124303A1
WO2017124303A1 PCT/CN2016/071378 CN2016071378W WO2017124303A1 WO 2017124303 A1 WO2017124303 A1 WO 2017124303A1 CN 2016071378 W CN2016071378 W CN 2016071378W WO 2017124303 A1 WO2017124303 A1 WO 2017124303A1
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Prior art keywords
license plate
image
identified
present
intelligent transportation
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PCT/CN2016/071378
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French (fr)
Chinese (zh)
Inventor
冯旋宇
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冯旋宇
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Application filed by 冯旋宇 filed Critical 冯旋宇
Priority to PCT/CN2016/071378 priority Critical patent/WO2017124303A1/en
Priority to CN201680000276.7A priority patent/CN105684058A/en
Publication of WO2017124303A1 publication Critical patent/WO2017124303A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
    • G06V20/625—License plates
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/24—Aligning, centring, orientation detection or correction of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G06V20/54—Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
    • G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules

Definitions

  • the invention relates to the field of communication and intelligent transportation, in particular to a method and system for identifying a number plate of intelligent transportation.
  • Intelligent Transportation System Intelligent Transportation System
  • ITS Intelligent Transportation System
  • the identification of the number plate by the existing traffic system is not particularly accurate.
  • the invention provides a method for identifying a number plate of intelligent traffic, which solves the shortcomings of the prior art that the number plate of the identification card type cannot be realized.
  • a method for identifying a number plate of intelligent traffic comprising the steps of:
  • the removed image is compared with numbers and letters to identify the license plate.
  • the method further includes:
  • the identified license plate is compared with the existing license plate number, and if the comparison is consistent, the identification is determined to be successful.
  • the method further includes:
  • a number sign recognition system for intelligent transportation comprising:
  • the identification unit is configured to take a photo of the vehicle and identify the license plate to obtain an overall picture of the license plate;
  • a removing unit for removing the blue pixel point in the overall image of the license plate to the removed image
  • the comparison unit is configured to compare the removed image with numbers and letters to identify the license plate.
  • the comparison unit is further configured to compare the identified license plate with an existing license plate number, and if the comparison is consistent, determine that the identification is successful.
  • system further includes:
  • a photograph of the vehicle is taken, the license plate is recognized to obtain an overall picture of the license plate, the blue pixel in the overall image of the license plate is removed to the removed image, and the removed image is compared with numbers and letters.
  • the license plate is recognized, which is identified by image removal, and has the advantage of high recognition accuracy.
  • FIG. 1 is a flow chart of a method for identifying a number plate of intelligent traffic provided by the present invention
  • FIG. 2 is a structural diagram of a license plate recognition system for intelligent transportation provided by the present invention.
  • FIG. 1 is a flowchart of a method for identifying a number plate of an intelligent transportation according to a first preferred embodiment of the present invention.
  • the method is implemented by a server.
  • the method is as shown in FIG. 1 and includes the following steps:
  • Step S101 photographing a photograph of the vehicle, and identifying the license plate to obtain an overall picture of the license plate;
  • Step S102 removing the blue pixel point in the overall image of the license plate to the removed image
  • Step S103 comparing the removed image with the number and the letter to identify the license plate.
  • a photograph of the vehicle is taken, the license plate is recognized to obtain an overall picture of the license plate, the blue pixel in the overall image of the license plate is removed to the removed image, and the removed image is compared with numbers and letters.
  • the license plate is recognized, which is identified by image removal, and has the advantage of high recognition accuracy.
  • the foregoing method may further include:
  • the identified license plate is compared with the existing license plate number, and if the comparison is consistent, the identification is determined to be successful.
  • the foregoing method may further include:
  • FIG. 2 is a chart of a smart traffic identification card system according to a second preferred embodiment of the present invention.
  • the system includes:
  • the identification unit 201 is configured to take a photo of the vehicle, and identify the license plate to obtain an overall picture of the license plate;
  • the removing unit 202 is configured to remove the blue pixel point in the overall image of the license plate to the removed image
  • the comparison unit 203 is configured to compare the removed image with the number and the letter to identify the license plate.
  • a photograph of the vehicle is taken, the license plate is recognized to obtain an overall picture of the license plate, the blue pixel in the overall image of the license plate is removed to the removed image, and the removed image is compared with numbers and letters.
  • the license plate is recognized, which is identified by image removal, and has the advantage of high recognition accuracy.
  • the comparison unit 203 is further configured to compare the identified license plate with an existing license plate number, and if the comparison is consistent, determine that the identification is successful.
  • the above system may further include:
  • the saving unit 204 is configured to save the identified number.
  • Computer readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one location to another.
  • a storage medium may be any available media that can be accessed by a computer.
  • the computer readable medium may include random access memory (Random) Access Memory, RAM), Read-Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), Compact Disc Read-Only Memory, CD-ROM, or other optical disc storage, magnetic storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Also. Any connection may suitably be a computer readable medium.
  • a disk and a disc include a compact disc (CD), a laser disc, a compact disc, a digital versatile disc (DVD), a floppy disk, and a Blu-ray disc, wherein the disc is usually magnetically copied, and the disc is The laser is used to optically replicate the data. Combinations of the above should also be included within the scope of the computer readable media.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Data Mining & Analysis (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
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Abstract

A license plate recognition method and system for intelligent transportation. The method comprises the following steps: capturing a photo of a vehicle, and recognizing the license plate of the vehicle to obtain an entire image of the license plate (S101); removing blue pixels in the entire image from the license plate to obtain a requested image (S102); and comparing the requested image with numbers and letters to recognize the license plate (S103).The technical solution implements accurate recognition of license plates.

Description

智能交通的号牌识别方法及系统  Intelligent traffic number plate identification method and system 技术领域Technical field
本发明涉及通信及智能交通领域，尤其涉及一种智能交通的号牌识别方法及系统。The invention relates to the field of communication and intelligent transportation, in particular to a method and system for identifying a number plate of intelligent transportation.
背景技术Background technique
智能交通系统(Intelligent Transportation System，简称ITS)是未来交通系统的发展方向，它是将先进的信息技术、数据通讯传输技术、电子传感技术、控制技术及计算机技术等有效地集成运用于整个地面交通管理系统而建立的一种在大范围内、全方位发挥作用的，实时、准确、高效的综合交通运输管理系统。Intelligent Transportation System (Intelligent Transportation System, referred to as ITS, is the development direction of the future transportation system. It is established by effectively integrating advanced information technology, data communication transmission technology, electronic sensing technology, control technology and computer technology into the entire ground traffic management system. A comprehensive, accurate and efficient integrated transportation management system that functions in a wide range and in all directions.
现有的交通系统对号牌的识别不是特别准确。The identification of the number plate by the existing traffic system is not particularly accurate.
技术问题technical problem
提供一种智能交通的号牌识别方法，其解决了现有技术的无法实现识别套牌类的号牌的缺点。The invention provides a method for identifying a number plate of intelligent traffic, which solves the shortcomings of the prior art that the number plate of the identification card type cannot be realized.
技术解决方案Technical solution
一方面，提供一种智能交通的号牌识别方法，所述方法包括如下步骤：In one aspect, a method for identifying a number plate of intelligent traffic is provided, the method comprising the steps of:
拍摄车辆的照片，对车牌进行识别得到车牌的整体图片；Taking a picture of the vehicle and identifying the license plate to obtain an overall picture of the license plate;
将车牌的整体图像中蓝色像素点去除的到去除后的图像；Removing the blue pixel from the overall image of the license plate to the removed image;
将去除后的图像与数字、字母进行比对识别出车牌。The removed image is compared with numbers and letters to identify the license plate.
可选的，所述方法还包括：Optionally, the method further includes:
将识别出的车牌与现有的车牌号码进行比对，如比对一致，则确定识别成功。The identified license plate is compared with the existing license plate number, and if the comparison is consistent, the identification is determined to be successful.
可选的，所述方法还包括：Optionally, the method further includes:
将识别出的号码保存。Save the identified number.
第二方面，提供一种智能交通的号牌识别系统，所述系统包括：In a second aspect, a number sign recognition system for intelligent transportation is provided, the system comprising:
识别单元，用于拍摄车辆的照片，对车牌进行识别得到车牌的整体图片；The identification unit is configured to take a photo of the vehicle and identify the license plate to obtain an overall picture of the license plate;
去除单元，用于将车牌的整体图像中蓝色像素点去除的到去除后的图像；a removing unit for removing the blue pixel point in the overall image of the license plate to the removed image;
比对单元，用于将去除后的图像与数字、字母进行比对识别出车牌。The comparison unit is configured to compare the removed image with numbers and letters to identify the license plate.
可选的，所述比对单元，还用于将识别出的车牌与现有的车牌号码进行比对，如比对一致，则确定识别成功。Optionally, the comparison unit is further configured to compare the identified license plate with an existing license plate number, and if the comparison is consistent, determine that the identification is successful.
可选的，所述系统还包括：Optionally, the system further includes:
保存单元，用于将识别出的号码保存。A save unit for saving the identified number.
有益效果Beneficial effect
本发明具体实施方式拍摄车辆的照片，对车牌进行识别得到车牌的整体图片，将车牌的整体图像中蓝色像素点去除的到去除后的图像，将去除后的图像与数字、字母进行比对识别出车牌，其通过图像去除识别，具有识别精度高的优点。In a specific embodiment of the present invention, a photograph of the vehicle is taken, the license plate is recognized to obtain an overall picture of the license plate, the blue pixel in the overall image of the license plate is removed to the removed image, and the removed image is compared with numbers and letters. The license plate is recognized, which is identified by image removal, and has the advantage of high recognition accuracy.
附图说明DRAWINGS
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below. Obviously, the drawings in the following description are only It is a certain embodiment of the present invention, and other drawings can be obtained from those skilled in the art without any creative work.
图1为本发明提供的一种智能交通的号牌识别方法的流程图；1 is a flow chart of a method for identifying a number plate of intelligent traffic provided by the present invention;
图2为本发明提供的一种智能交通的号牌识别系统的结构图。FIG. 2 is a structural diagram of a license plate recognition system for intelligent transportation provided by the present invention.
本发明的实施方式Embodiments of the invention
下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the described embodiments are only a part of the embodiments of the present invention, but not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.
参阅图1，图1为本发明第一较佳实施方式提供的一种智能交通的号牌识别方法的流程图，该方法由服务器来完成，该方法如图1所示，包括如下步骤：Referring to FIG. 1 , FIG. 1 is a flowchart of a method for identifying a number plate of an intelligent transportation according to a first preferred embodiment of the present invention. The method is implemented by a server. The method is as shown in FIG. 1 and includes the following steps:
步骤S101、拍摄车辆的照片，对车牌进行识别得到车牌的整体图片；Step S101: photographing a photograph of the vehicle, and identifying the license plate to obtain an overall picture of the license plate;
步骤S102、将车牌的整体图像中蓝色像素点去除的到去除后的图像；Step S102, removing the blue pixel point in the overall image of the license plate to the removed image;
步骤S103、将去除后的图像与数字、字母进行比对识别出车牌。Step S103, comparing the removed image with the number and the letter to identify the license plate.
本发明具体实施方式拍摄车辆的照片，对车牌进行识别得到车牌的整体图片，将车牌的整体图像中蓝色像素点去除的到去除后的图像，将去除后的图像与数字、字母进行比对识别出车牌，其通过图像去除识别，具有识别精度高的优点。In a specific embodiment of the present invention, a photograph of the vehicle is taken, the license plate is recognized to obtain an overall picture of the license plate, the blue pixel in the overall image of the license plate is removed to the removed image, and the removed image is compared with numbers and letters. The license plate is recognized, which is identified by image removal, and has the advantage of high recognition accuracy.
可选的，上述方法在步骤S103之后还可以包括：Optionally, after the step S103, the foregoing method may further include:
将识别出的车牌与现有的车牌号码进行比对，如比对一致，则确定识别成功。The identified license plate is compared with the existing license plate number, and if the comparison is consistent, the identification is determined to be successful.
可选的，上述方法在步骤S103之后还可以包括：Optionally, after the step S103, the foregoing method may further include:
将识别出的号码保存。Save the identified number.
参阅图2，图2为本发明第二较佳实施方式提供的一种智能交通的号牌识别系统，该系统包括：Referring to FIG. 2, FIG. 2 is a chart of a smart traffic identification card system according to a second preferred embodiment of the present invention. The system includes:
识别单元201，用于拍摄车辆的照片，对车牌进行识别得到车牌的整体图片；The identification unit 201 is configured to take a photo of the vehicle, and identify the license plate to obtain an overall picture of the license plate;
去除单元202，用于将车牌的整体图像中蓝色像素点去除的到去除后的图像；The removing unit 202 is configured to remove the blue pixel point in the overall image of the license plate to the removed image;
比对单元203，用于将去除后的图像与数字、字母进行比对识别出车牌。The comparison unit 203 is configured to compare the removed image with the number and the letter to identify the license plate.
本发明具体实施方式拍摄车辆的照片，对车牌进行识别得到车牌的整体图片，将车牌的整体图像中蓝色像素点去除的到去除后的图像，将去除后的图像与数字、字母进行比对识别出车牌，其通过图像去除识别，具有识别精度高的优点。In a specific embodiment of the present invention, a photograph of the vehicle is taken, the license plate is recognized to obtain an overall picture of the license plate, the blue pixel in the overall image of the license plate is removed to the removed image, and the removed image is compared with numbers and letters. The license plate is recognized, which is identified by image removal, and has the advantage of high recognition accuracy.
可选的，上述比对单元203，还用于将识别出的车牌与现有的车牌号码进行比对，如比对一致，则确定识别成功。Optionally, the comparison unit 203 is further configured to compare the identified license plate with an existing license plate number, and if the comparison is consistent, determine that the identification is successful.
可选的，上述系统还可以包括：Optionally, the above system may further include:
保存单元204，用于将识别出的号码保存。The saving unit 204 is configured to save the identified number.
需要说明的是，对于前述的各方法实施方式或实施例，为了简单描述，故将其都表述为一系列的动作组合，但是本领域技术人员应该知悉，本发明并不受所描述的动作顺序的限制，因为根据本发明，某些步骤可以采用其他顺序或者同时进行。其次，本领域技术人员也应该知悉，说明书中所描述实施方式或实施例均属于优选实施例，所涉及的动作和单元并不一定是本发明所必须的。It should be noted that, for the foregoing method embodiments or embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should know that the present invention is not subject to the described action sequence. Limitations, as certain steps may be performed in other sequences or concurrently in accordance with the present invention. In the following, those skilled in the art should also understand that the embodiments or examples described in the specification are preferred embodiments, and the actions and units involved are not necessarily required by the present invention.
在上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述的部分，可以参见其他实施例的相关描述。In the above embodiments, the descriptions of the various embodiments are different, and the details that are not detailed in a certain embodiment can be referred to the related descriptions of other embodiments.
本发明实施例方法中的步骤可以根据实际需要进行顺序调整、合并和删减。The steps in the method of the embodiment of the present invention may be sequentially adjusted, merged, and deleted according to actual needs.
本发明实施例装置中的单元可以根据实际需要进行合并、划分和删减。本领域的技术人员可以将本说明书中描述的不同实施例以及不同实施例的特征进行结合或组合。The units in the apparatus of the embodiment of the present invention may be combined, divided, and deleted according to actual needs. Those skilled in the art can combine or combine the different embodiments described in the specification and the features of the different embodiments.
通过以上的实施方式的描述，所属领域的技术人员可以清楚地了解到本发明可以用硬件实现，或固件实现，或它们的组合方式来实现。当使用软件实现时，可以将上述功能存储在计算机可读介质中或作为计算机可读介质上的一个或多个指令或代码进行传输。计算机可读介质包括计算机存储介质和通信介质，其中通信介质包括便于从一个地方向另一个地方传送计算机程序的任何介质。存储介质可以是计算机能够存取的任何可用介质。以此为例但不限于：计算机可读介质可以包括随机存取存储器(Random Access Memory，RAM)、只读存储器(Read-Only Memory，ROM)、电可擦可编程只读存储器(Electrically Erasable Programmable Read-Only Memory，EEPROM)、只读光盘(Compact Disc Read-Only Memory，CD-ROM)或其他光盘存储、磁盘存储介质或者其他磁存储设备、或者能够用于携带或存储具有指令或数据结构形式的期望的程序代码并能够由计算机存取的任何其他介质。此外。任何连接可以适当的成为计算机可读介质。例如，如果软件是使用同轴电缆、光纤光缆、双绞线、数字用户线（Digital Subscriber Line，DSL）或者诸如红外线、无线电和微波之类的无线技术从网站、服务器或者其他远程源传输的，那么同轴电缆、光纤光缆、双绞线、DSL或者诸如红外线、无线和微波之类的无线技术包括在所属介质的定影中。如本发明所使用的，盘（Disk）和碟（disc）包括压缩光碟（CD）、激光碟、光碟、数字通用光碟（DVD）、软盘和蓝光光碟，其中盘通常磁性的复制数据，而碟则用激光来光学的复制数据。上面的组合也应当包括在计算机可读介质的保护范围之内。Through the description of the above embodiments, those skilled in the art can clearly understand that the present invention can be implemented in hardware, firmware implementation, or a combination thereof. When implemented in software, the functions described above may be stored in or transmitted as one or more instructions or code on a computer readable medium. Computer readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one location to another. A storage medium may be any available media that can be accessed by a computer. Taking this as an example, but not limited to: the computer readable medium may include random access memory (Random) Access Memory, RAM), Read-Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), Compact Disc Read-Only Memory, CD-ROM, or other optical disc storage, magnetic storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Also. Any connection may suitably be a computer readable medium. For example, if the software is using coaxial cable, fiber optic cable, twisted pair, digital subscriber line (Digital Subscriber Line, DSL) or wireless technology such as infrared, radio and microwave transmission from a website, server or other remote source, then coaxial cable, fiber optic cable, twisted pair, DSL or such as infrared, wireless and microwave Wireless technology is included in the fixing of the associated medium. As used in the present invention, a disk and a disc include a compact disc (CD), a laser disc, a compact disc, a digital versatile disc (DVD), a floppy disk, and a Blu-ray disc, wherein the disc is usually magnetically copied, and the disc is The laser is used to optically replicate the data. Combinations of the above should also be included within the scope of the computer readable media.
总之，以上所述仅为本发明技术方案的较佳实施例而已，并非用于限定本发明的保护范围。凡在本发明的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本发明的保护范围之内。 In summary, the above description is only a preferred embodiment of the technical solution of the present invention, and is not intended to limit the scope of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and scope of the present invention are intended to be included within the scope of the present invention.

Claims (6)

  1. 一种智能交通的号牌识别方法，其特征在于，所述方法包括如下步骤： A method for identifying a number plate of intelligent traffic, characterized in that the method comprises the following steps:
    拍摄车辆的照片，对车牌进行识别得到车牌的整体图片；Taking a picture of the vehicle and identifying the license plate to obtain an overall picture of the license plate;
    将车牌的整体图像中蓝色像素点去除的到去除后的图像；Removing the blue pixel from the overall image of the license plate to the removed image;
    将去除后的图像与数字、字母进行比对识别出车牌。The removed image is compared with numbers and letters to identify the license plate.
  2. 根据权利要求1所述的方法，其特征在于，所述方法还包括：The method of claim 1 further comprising:
    将识别出的车牌与现有的车牌号码进行比对，如比对一致，则确定识别成功。The identified license plate is compared with the existing license plate number, and if the comparison is consistent, the identification is determined to be successful.
  3. 根据权利要求1所述的方法，其特征在于，所述方法还包括：The method of claim 1 further comprising:
    将识别出的号码保存。Save the identified number.
  4. 一种智能交通的号牌识别系统，其特征在于，所述系统包括：A license plate recognition system for intelligent transportation, characterized in that the system comprises:
    识别单元，用于拍摄车辆的照片，对车牌进行识别得到车牌的整体图片；The identification unit is configured to take a photo of the vehicle and identify the license plate to obtain an overall picture of the license plate;
    去除单元，用于将车牌的整体图像中蓝色像素点去除的到去除后的图像；a removing unit for removing the blue pixel point in the overall image of the license plate to the removed image;
    比对单元，用于将去除后的图像与数字、字母进行比对识别出车牌。The comparison unit is configured to compare the removed image with numbers and letters to identify the license plate.
  5. 根据权利要求4所述的系统，其特征在于，The system of claim 4 wherein:
    所述比对单元，还用于将识别出的车牌与现有的车牌号码进行比对，如比对一致，则确定识别成功。The comparison unit is further configured to compare the identified license plate with an existing license plate number, and if the comparison is consistent, determine that the identification is successful.
  6. 根据权利要求4所述的系统，其特征在于，所述系统还包括：The system of claim 4, wherein the system further comprises:
    保存单元，用于将识别出的号码保存。A save unit for saving the identified number.
PCT/CN2016/071378 2016-01-19 2016-01-19 License plate recognition method and system for intelligent transportation WO2017124303A1 (en)

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