WO2017124303A1 - Procédé et système de reconnaissance de plaque d'immatriculation pour transports intelligents - Google Patents

Procédé et système de reconnaissance de plaque d'immatriculation pour transports intelligents 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
Authority
WO
WIPO (PCT)
Prior art keywords
license plate
image
identified
present
intelligent transportation
Prior art date
Application number
PCT/CN2016/071378
Other languages
English (en)
Chinese (zh)
Inventor
冯旋宇
Original Assignee
冯旋宇
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by 冯旋宇 filed Critical 冯旋宇
Priority to CN201680000276.7A priority Critical patent/CN105684058A/zh
Priority to PCT/CN2016/071378 priority patent/WO2017124303A1/fr
Publication of WO2017124303A1 publication Critical patent/WO2017124303A1/fr

Links

Classifications

    • 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.

Landscapes

  • 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)
  • Traffic Control Systems (AREA)
  • Vehicle Waterproofing, Decoration, And Sanitation Devices (AREA)

Abstract

Procédé et système de reconnaissance de plaque d'immatriculation pour transports intelligents. Le procédé comprend les étapes consistant : à capturer une photo d'un véhicule et à reconnaître la plaque d'immatriculation du véhicule afin d'obtenir une image entière de la plaque d'immatriculation (S101) ; à retirer des pixels bleus dans l'image entière de la plaque d'immatriculation pour obtenir une image demandée (S102) ; et à comparer l'image demandée à des chiffres et des lettres dans le but de reconnaître la plaque d'immatriculation (S103). La solution technique met en œuvre une reconnaissance exacte de plaques d'immatriculation.
PCT/CN2016/071378 2016-01-19 2016-01-19 Procédé et système de reconnaissance de plaque d'immatriculation pour transports intelligents WO2017124303A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201680000276.7A CN105684058A (zh) 2016-01-19 2016-01-19 智能交通的号牌识别方法及***
PCT/CN2016/071378 WO2017124303A1 (fr) 2016-01-19 2016-01-19 Procédé et système de reconnaissance de plaque d'immatriculation pour transports intelligents

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2016/071378 WO2017124303A1 (fr) 2016-01-19 2016-01-19 Procédé et système de reconnaissance de plaque d'immatriculation pour transports intelligents

Publications (1)

Publication Number Publication Date
WO2017124303A1 true WO2017124303A1 (fr) 2017-07-27

Family

ID=56215732

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2016/071378 WO2017124303A1 (fr) 2016-01-19 2016-01-19 Procédé et système de reconnaissance de plaque d'immatriculation pour transports intelligents

Country Status (2)

Country Link
CN (1) CN105684058A (fr)
WO (1) WO2017124303A1 (fr)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106407997A (zh) * 2016-07-14 2017-02-15 昆山饰爱阿智能科技有限公司 一种使用移动设备识别对象的***及其识别方法

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CN103824066A (zh) * 2014-03-18 2014-05-28 厦门翼歌软件科技有限公司 一种基于视频流的车牌识别方法
US20140188263A1 (en) * 2012-12-28 2014-07-03 Hyundai Motor Company Vehicle-location recognition system and method, and vehicle assembly-history management system and method using the same
US20140363052A1 (en) * 2013-06-06 2014-12-11 Xerox Corporation Adaptive character segmentation method and system for automated license plate recognition
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KR20030044945A (ko) * 2003-04-15 2003-06-09 김태보 차량번호판 인식을 이용한 교통혼잡구간 혼잡통행료징수및 부제위반차량 검출시스템
KR100672015B1 (ko) * 2005-05-13 2007-01-19 서만호 조도측정용 구조물이 구비된 차량번호 인식시스템 및 그시스템을 이용한 차량번호판 영상의 선명도 개선방법
CN101398894B (zh) * 2008-06-17 2011-12-07 浙江师范大学 机动车车牌自动识别方法及其实现装置
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CN103699880A (zh) * 2013-12-11 2014-04-02 天津易成百业科技有限公司 基于物联网的交通违法车辆牌照检测与识别方法
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Publication number Priority date Publication date Assignee Title
CN102902957A (zh) * 2012-09-05 2013-01-30 佳都新太科技股份有限公司 一种基于视频流的自动车牌识别方法
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US20140363052A1 (en) * 2013-06-06 2014-12-11 Xerox Corporation Adaptive character segmentation method and system for automated license plate recognition
CN103824066A (zh) * 2014-03-18 2014-05-28 厦门翼歌软件科技有限公司 一种基于视频流的车牌识别方法
CN105005780A (zh) * 2015-06-29 2015-10-28 叶秀兰 一种车牌识别方法

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