CN113505782A - Recognition system combining wagon license plate and carriage handwritten license plate - Google Patents

Recognition system combining wagon license plate and carriage handwritten license plate Download PDF

Info

Publication number
CN113505782A
CN113505782A CN202110630767.2A CN202110630767A CN113505782A CN 113505782 A CN113505782 A CN 113505782A CN 202110630767 A CN202110630767 A CN 202110630767A CN 113505782 A CN113505782 A CN 113505782A
Authority
CN
China
Prior art keywords
license plate
module
information
detection module
carriage
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
Application number
CN202110630767.2A
Other languages
Chinese (zh)
Inventor
李中成
黄海浪
刘佳乐
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Tuli Information Technology Co ltd
Original Assignee
Shanghai Tuli Information Technology Co ltd
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 Shanghai Tuli Information Technology Co ltd filed Critical Shanghai Tuli Information Technology Co ltd
Priority to CN202110630767.2A priority Critical patent/CN113505782A/en
Publication of CN113505782A publication Critical patent/CN113505782A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Molecular Biology (AREA)
  • Artificial Intelligence (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Character Discrimination (AREA)
  • Character Input (AREA)

Abstract

The invention discloses a combination recognition system for a truck license plate and a carriage handwritten license plate, which comprises: the system comprises a picture input module, a vehicle detection module in signal connection with the picture input module, a license plate detection module in signal connection with the vehicle detection module, a text detection module in signal connection with the license plate detection module, a character segmentation module in signal connection with the text detection module, an OCR character detection module in signal connection with the character segmentation module and a license plate information output module in signal connection with the OCR character detection module; the license plate information output module is in signal connection with a carriage handwriting license plate detection module, and the carriage handwriting license plate detection module is in signal connection with a license plate detection module. According to the invention, the problems of low recognition rate and low accuracy in the detection of the license plate of the truck are solved, and traffic managers can be assisted to better supervise and enforce the truck; the safety and reliability of the system work are guaranteed, and meanwhile simplicity and practicability of installation can be achieved.

Description

Recognition system combining wagon license plate and carriage handwritten license plate
Technical Field
The invention relates to the technical field of license plate recognition, in particular to a combination recognition system for a license plate of a truck and a handwritten license plate of a carriage.
Background
With the rapid development of social economy, the urbanization process is accelerated continuously, the economic and cultural activities of urban residents are frequent day by day, the number of motor vehicles is increased rapidly, and the urban traffic demand is increased rapidly. However, the urban road construction speed is far less than the motor vehicle growth speed, the traffic management level lags behind the traffic demand growth speed, and the problems of urban traffic jam, traffic accidents and pollution are increasingly remarkable.
At present, in the research of truck license plate recognition, most users acquire the license plate of a truck, and the license plate information of the truck is acquired through the recognition of the license plate, so that the interference items are many, the data accuracy cannot be achieved, and a large amount of manpower investment is consumed, so that the development of the combination recognition system and the combination recognition system software of the truck license plate and the hand-written carriage license plate becomes necessary.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a combination recognition system for the license plate of a truck and the handwritten license plate of a carriage, solves the problems of low recognition rate and low accuracy in the license plate detection of the truck, and can assist traffic managers to better supervise and enforce the truck; the safety and reliability of the system work are guaranteed, and meanwhile simplicity and practicability of installation can be achieved. To achieve the above objects and other advantages in accordance with the present invention, there is provided a combination recognition system for a license plate of a truck and a handwritten license plate in a vehicle compartment, comprising:
the system comprises a picture input module, a vehicle detection module in signal connection with the picture input module, a license plate detection module in signal connection with the vehicle detection module, a text detection module in signal connection with the license plate detection module, a character segmentation module in signal connection with the text detection module, an OCR character detection module in signal connection with the character segmentation module and a license plate information output module in signal connection with the OCR character detection module;
the license plate information output module is in signal connection with a carriage handwriting license plate detection module, and the carriage handwriting license plate detection module is in signal connection with a license plate detection module.
Preferably, the picture input module is used for the user to select the picture to be detected;
the vehicle detection module is used for detecting the vehicle in the picture, positioning the vehicle and cutting out a close-up image of the truck;
the license plate detection module is used for detecting and positioning a license plate of a truck;
the carriage handwritten license plate detection module is used for detecting and positioning the handwritten license plate of the wagon carriage;
the text detection module is used for detecting and positioning a text position in a license plate and detecting and positioning a text position of a carriage handwritten license plate;
the character segmentation module is used for segmenting characters at the positions of the characters of the positioned license plate and is also used for segmenting the characters of the positioned handwritten license plate in the car;
the OCR character detection module is used for speaking the segmented characters to perform OCR character recognition and converting the picture characters into computer characters;
the license plate information output module is used for extracting the license plate information of the vehicle from the computer characters and displaying the license plate information.
Preferably, the vehicle detection module is used for detecting and positioning the vehicle by adopting deep learning on the picture, and cutting out a close-up image of the truck according to the position of the vehicle.
Preferably, the license plate detection module detects the close-up picture of the truck by adopting a deep learning model, accurately positions the position of the license plate of the truck, and cuts out the close-up picture of the license plate.
Preferably, the carriage handwritten license plate detection module is used for accurately positioning the position of the handwritten license plate of the boxcar when the license plate sketch does not exist or the license plate information extracted from the license plate sketch is incomplete, and intercepting the close-up image of the handwritten license plate of the boxcar.
Preferably, the text detection module is configured to perform text detection on the input license plate close-up image or the carriage handwritten license plate close-up image to obtain location information of the text.
Preferably, the character segmentation module is configured to segment the text into single words according to the position information of the text obtained by the text detection module, so as to obtain position information of the single words
Preferably, the license plate information output module comprises a license plate information extraction module, a license plate information combination module in signal connection with the license plate information extraction module, and a license plate information display module in signal connection with the license plate information combination module, the license plate information extraction module is in signal connection with an OCR character detection module, and the license plate information extraction module is in signal connection with a carriage handwriting license plate detection module
Preferably, the license plate information extraction module is used for screening and filtering computer characters output by the OCR character recognition module, eliminating special characters in character data to obtain effective license plate information, extracting license plate information through a preset license plate number rule, and enabling all license plate information to be extracted to enter the license plate information display module; if the whole license plate information cannot be extracted, locking the key word information extracted from the close-up image of the license plate, feeding back the information to the carriage handwritten license plate detection module, then repeating the steps to obtain the character information of the carriage handwritten license plate, extracting the key information according to the carriage handwritten license plate information, recombining according to the previously locked key information, and inputting the recombined information into the license plate information combination module;
the license plate information combination module obtains complete information of the license plate through keyword matching and combination;
and the license plate information display module is used for displaying the obtained license plate information.
Compared with the prior art, the invention has the beneficial effects that: the combined recognition system for the wagon license plate and the compartment handwritten license plate comprises a picture input module, a vehicle detection module, a license plate detection module, a compartment handwritten license plate detection module, a text detection module, a character segmentation module, an OCR character recognition module and a license plate information output module, wherein the license plate of a wagon is recognized through the cooperation of the modules, and the license plate information enters a license plate information display module through the extraction of character information which can accord with the license plate, so that the handwritten license plate of the compartment is recognized under the condition that the license plate cannot be positioned or the information extracted from the license plate is incomplete, the license plate of a part of the wagon is prevented from being covered and the font of the compartment is prevented from being blurred, and the compartment handwritten license plate recognition and the license plate recognition are combined; the problems of low recognition rate and low accuracy in the detection of the license plate of the truck are solved, and traffic managers can be assisted to better supervise and enforce the truck; the safety and reliability of the system work are guaranteed, and meanwhile simplicity and practicability of installation can be achieved.
Drawings
FIG. 1 is a block diagram of the structural flow of a combination recognition system for a license plate of a truck and a handwritten license plate of a carriage according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a combination recognition system for a license plate of a truck and a handwritten license plate in a carriage includes: the system comprises a picture input module, a vehicle detection module in signal connection with the picture input module, a license plate detection module in signal connection with the vehicle detection module, a text detection module in signal connection with the license plate detection module, a character segmentation module in signal connection with the text detection module, an OCR character detection module in signal connection with the character segmentation module and a license plate information output module in signal connection with the OCR character detection module;
the license plate information output module is in signal connection with a carriage handwriting license plate detection module, and the carriage handwriting license plate detection module is in signal connection with a license plate detection module.
Further, the picture input module is used for a user to select a picture to be detected;
the vehicle detection module is used for detecting the vehicle in the picture, positioning the vehicle and cutting out a close-up image of the truck;
the license plate detection module is used for detecting and positioning a license plate of a truck;
the carriage handwritten license plate detection module is used for detecting and positioning the handwritten license plate of the wagon carriage;
the text detection module is used for detecting and positioning a text position in a license plate and detecting and positioning a text position of a carriage handwritten license plate;
the character segmentation module is used for segmenting characters at the positions of the characters of the positioned license plate and is also used for segmenting the characters of the positioned handwritten license plate in the car;
the OCR character detection module is used for speaking the segmented characters to perform OCR character recognition and converting the picture characters into computer characters;
the license plate information output module is used for extracting the license plate information of the vehicle from the computer characters and displaying the license plate information.
Further, the vehicle detection module is used for carrying out vehicle detection and positioning on the pictures by adopting deep learning, and cutting out a close-up image of the truck according to the position of the vehicle.
Furthermore, the license plate detection module detects the close-up picture of the truck by adopting a deep learning model, accurately positions the position of the license plate of the truck and cuts out the close-up picture of the license plate.
Further, the carriage handwritten license plate detection module is used for accurately positioning the position of the handwritten license plate of the boxcar when the license plate sketch does not exist or the license plate information extracted from the license plate sketch is incomplete, and intercepting the close-up image of the handwritten license plate of the boxcar.
Further, the text detection module is used for performing text detection on the input license plate close-up image or the carriage handwritten license plate close-up image to obtain the position information of the text.
Further, the character segmentation module is used for segmenting the text into single characters according to the position information of the text obtained by the text detection module, so as to obtain the position information of the single characters.
Furthermore, the license plate information output module comprises a license plate information extraction module, a license plate information combination module in signal connection with the license plate information extraction module, and a license plate information display module in signal connection with the license plate information combination module, the license plate information extraction module is in signal connection with an OCR character detection module, and the license plate information extraction module is in signal connection with a carriage handwriting license plate detection module.
Furthermore, the license plate information extraction module is used for screening and filtering computer characters output by the OCR character recognition module, eliminating special characters in character data to obtain effective license plate information, extracting license plate information through a preset license plate number rule, and enabling all information capable of extracting license plates to enter the license plate information display module; if the whole license plate information cannot be extracted, locking the key word information extracted from the close-up image of the license plate, feeding back the information to the carriage handwritten license plate detection module, then repeating the steps to obtain the character information of the carriage handwritten license plate, extracting the key information according to the carriage handwritten license plate information, recombining according to the previously locked key information, and inputting the recombined information into the license plate information combination module;
the license plate information combination module obtains complete information of the license plate through keyword matching and combination;
and the license plate information display module is used for displaying the obtained license plate information.
Through the OCR character recognition module, according to the single character position information obtained by the character segmentation module, the deep learning model is adopted for extracting characters, and the single characters are accurately converted into computer characters. The OCR character recognition module outputs computer characters to be screened and filtered, special characters in character data are removed to obtain effective license plate information, license plate number rules are formulated in advance to extract license plate information, and all license plate information capable of being extracted enters a license plate information display module. And if the whole information of the license plate cannot be extracted, locking the key word information extracted from the close-up image of the license plate, feeding back the information to the carriage handwritten license plate detection module, repeating the steps to obtain the character information of the carriage handwritten license plate, extracting the key information according to the carriage handwritten license plate information, recombining the key information according to the locked key information, and inputting the recombined information into the license plate information combination module.
The invention relates to a combined recognition system of a truck license plate and a carriage handwritten license plate, which has the following basic working principle: after a user selects a picture, the system positions the position of a truck in the picture and intercepts the truck through a deep learning network, then license plate detection is carried out on a special-writing picture of the truck, if the license plate is detected, the license plate is intercepted, a text region is obtained through text detection, then the text region is subjected to character segmentation to obtain the position information of a single character, then characters of the picture are converted into computer characters through an OCR character recognition module according to the position information of the single character, license plate information is extracted through a preset license plate number rule, and all information capable of extracting the license plate enters a license plate information display module. And if the whole information of the license plate cannot be extracted, locking the information which accords with the license plate number rule and feeding back the information to the carriage handwritten license plate detection module, then repeating the steps to obtain the character information of the carriage handwritten license plate, extracting the key information according to the carriage handwritten license plate information, recombining the key information according to the locked key information, and matching and combining the recombined information by using the key words to obtain the complete information of the license plate. And then the obtained license plate information is displayed through a license plate information display module. If the license plate cannot be detected, the handwritten license plate of the carriage is directly detected, the handwritten license plate is intercepted, a text region is obtained through text detection, then the text region is subjected to character segmentation to obtain the position information of a single character, then the characters of the picture are converted into computer characters through an OCR character recognition module according to the position information of the single character, then the license plate information is extracted through a preset license plate number rule, and all information capable of extracting the license plate enters a license plate information display module. The license plate information module displays the license plate information.
In the embodiment, the combination recognition system of the wagon license plate and the carriage handwritten license plate comprises a picture input module, a vehicle detection module, a license plate detection module, a carriage handwritten license plate detection module, a text detection module, a character segmentation module, an OCR character recognition module and a license plate information output module; through the matching among the modules, the license plate of the truck is recognized, the character information which can be extracted and accords with the license plate enters the license plate information display module, and the handwritten license plate of the carriage is recognized under the condition that the license plate cannot be positioned or the information extracted by the license plate is incomplete, so that the license plate covering and carriage font blurring of part of the truck are avoided, and the carriage handwritten license plate recognition and the license plate recognition are combined; the problems of low recognition rate and low accuracy in the detection of the license plate of the truck are solved, and traffic managers can be assisted to better supervise and enforce the truck; the safety and reliability of the system work are guaranteed, and meanwhile simplicity and practicability of installation can be achieved.
The working principle is as follows: after a user selects a picture, the system positions the position of a truck in the picture and intercepts the truck through a deep learning network, then license plate detection is carried out on a special-writing picture of the truck, if the license plate is detected, the license plate is intercepted, a text region is obtained through text detection, then the text region is subjected to character segmentation to obtain the position information of a single character, then characters of the picture are converted into computer characters through an OCR character recognition module according to the position information of the single character, license plate information is extracted through a preset license plate number rule, and all information capable of extracting the license plate enters a license plate information display module. And if the whole information of the license plate cannot be extracted, locking the information which accords with the license plate number rule and feeding back the information to the carriage handwritten license plate detection module, then repeating the steps to obtain the character information of the carriage handwritten license plate, extracting the key information according to the carriage handwritten license plate information, recombining the key information according to the locked key information, and matching and combining the recombined information by using the key words to obtain the complete information of the license plate. And then the obtained license plate information is displayed through a license plate information display module. If the license plate cannot be detected, the handwritten license plate of the carriage is directly detected, the handwritten license plate is intercepted, a text region is obtained through text detection, then the text region is subjected to character segmentation to obtain the position information of a single character, then the characters of the picture are converted into computer characters through an OCR character recognition module according to the position information of the single character, then the license plate information is extracted through a preset license plate number rule, and all information capable of extracting the license plate enters a license plate information display module. The license plate information module displays the license plate information.
The number of devices and the scale of the processes described herein are intended to simplify the description of the invention, and applications, modifications and variations of the invention will be apparent to those skilled in the art.
While embodiments of the invention have been described above, it is not limited to the applications set forth in the description and the embodiments, which are fully applicable in various fields of endeavor to which the invention pertains, and further modifications may readily be made by those skilled in the art, it being understood that the invention is not limited to the details shown and described herein without departing from the general concept defined by the appended claims and their equivalents.

Claims (9)

1. The utility model provides a freight train license plate combines identification system with carriage license plate of writing by hand which characterized in that includes:
the system comprises a picture input module, a vehicle detection module in signal connection with the picture input module, a license plate detection module in signal connection with the vehicle detection module, a text detection module in signal connection with the license plate detection module, a character segmentation module in signal connection with the text detection module, an OCR character detection module in signal connection with the character segmentation module and a license plate information output module in signal connection with the OCR character detection module;
the license plate information output module is in signal connection with a carriage handwriting license plate detection module, and the carriage handwriting license plate detection module is in signal connection with a license plate detection module.
2. The combination of a license plate of a truck and a handwritten license plate in a carriage as claimed in claim 1, wherein said picture input module is used for a user to select a picture to be detected;
the vehicle detection module is used for detecting the vehicle in the picture, positioning the vehicle and cutting out a close-up image of the truck;
the license plate detection module is used for detecting and positioning a license plate of a truck;
the carriage handwritten license plate detection module is used for detecting and positioning the handwritten license plate of the wagon carriage;
the text detection module is used for detecting and positioning a text position in a license plate and detecting and positioning a text position of a carriage handwritten license plate;
the character segmentation module is used for segmenting characters at the positions of the characters of the positioned license plate and is also used for segmenting the characters of the positioned handwritten license plate in the car;
the OCR character detection module is used for speaking the segmented characters to perform OCR character recognition and converting the picture characters into computer characters;
the license plate information output module is used for extracting the license plate information of the vehicle from the computer characters and displaying the license plate information.
3. The system of claim 1, wherein the vehicle detection module is configured to perform vehicle detection and localization using deep learning on the image, and to capture a close-up image of the vehicle according to the position of the vehicle.
4. The system of claim 1, wherein the license plate detection module detects a close-up image of the vehicle by using a deep learning model, locates the position of the vehicle license plate accurately, and captures the close-up image of the vehicle license plate.
5. The combination recognition system for the license plate of the truck and the handwritten license plate of the carriage as claimed in claim 1, wherein the carriage handwritten license plate detection module is used for accurately positioning the position of the handwritten license plate of the truck carriage when the license plate close-up image does not exist or the license plate information extracted from the license plate close-up image is incomplete, and intercepting the close-up image of the handwritten license plate of the carriage.
6. The system of claim 1, wherein the text detection module is configured to perform text detection on the input license plate close-up image or the carriage handwritten license plate close-up image to obtain location information of the text.
7. The combination of a license plate of a truck and a handwritten license plate in a carriage as claimed in claim 1, wherein said character segmentation module is used for segmenting the text into single words according to the position information of the text obtained by the text detection module, so as to obtain the position information of the single words.
8. The system of claim 1, wherein the license plate information output module comprises a license plate information extraction module, a license plate information combination module in signal connection with the license plate information extraction module, and a license plate information display module in signal connection with the license plate information combination module, the license plate information extraction module is in signal connection with an OCR character detection module, and the license plate information extraction module is in signal connection with a compartment handwritten license plate detection module.
9. The combination recognition system of the wagon license plate and the hand-written carriage license plate of claim 8, wherein the license plate information extraction module is used for screening and filtering computer characters output by the OCR character recognition module, eliminating special characters in character data to obtain effective license plate information, extracting license plate information through a preset license plate number rule, and enabling all information capable of extracting the license plate to enter the license plate information display module; if the whole license plate information cannot be extracted, locking the key word information extracted from the close-up image of the license plate, feeding back the information to the carriage handwritten license plate detection module, then repeating the steps to obtain the character information of the carriage handwritten license plate, extracting the key information according to the carriage handwritten license plate information, recombining according to the previously locked key information, and inputting the recombined information into the license plate information combination module;
the license plate information combination module obtains complete information of the license plate through keyword matching and combination;
and the license plate information display module is used for displaying the obtained license plate information.
CN202110630767.2A 2021-06-07 2021-06-07 Recognition system combining wagon license plate and carriage handwritten license plate Pending CN113505782A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110630767.2A CN113505782A (en) 2021-06-07 2021-06-07 Recognition system combining wagon license plate and carriage handwritten license plate

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110630767.2A CN113505782A (en) 2021-06-07 2021-06-07 Recognition system combining wagon license plate and carriage handwritten license plate

Publications (1)

Publication Number Publication Date
CN113505782A true CN113505782A (en) 2021-10-15

Family

ID=78008864

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110630767.2A Pending CN113505782A (en) 2021-06-07 2021-06-07 Recognition system combining wagon license plate and carriage handwritten license plate

Country Status (1)

Country Link
CN (1) CN113505782A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113989485A (en) * 2021-11-29 2022-01-28 合肥高维数据技术有限公司 Text character segmentation method and system based on OCR recognition

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101377811A (en) * 2007-08-31 2009-03-04 北京万集科技有限责任公司 Method and system for recognizing license plate
CN105046255A (en) * 2015-07-16 2015-11-11 北京交通大学 Vehicle tail character recognition based vehicle type identification method and system
CN106530732A (en) * 2016-11-08 2017-03-22 合肥掌韵车聚信息科技有限公司 Parking lot video vehicle license plate recognition system based on ORC technology
WO2017061650A1 (en) * 2015-10-08 2017-04-13 주식회사 넥스파시스템 Image analysis-based lpr system to which front and rear camera modules are applied
US20170300786A1 (en) * 2015-10-01 2017-10-19 Intelli-Vision Methods and systems for accurately recognizing vehicle license plates
CN112257541A (en) * 2020-10-16 2021-01-22 浙江大华技术股份有限公司 License plate recognition method, electronic device and computer-readable storage medium

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101377811A (en) * 2007-08-31 2009-03-04 北京万集科技有限责任公司 Method and system for recognizing license plate
CN105046255A (en) * 2015-07-16 2015-11-11 北京交通大学 Vehicle tail character recognition based vehicle type identification method and system
US20170300786A1 (en) * 2015-10-01 2017-10-19 Intelli-Vision Methods and systems for accurately recognizing vehicle license plates
WO2017061650A1 (en) * 2015-10-08 2017-04-13 주식회사 넥스파시스템 Image analysis-based lpr system to which front and rear camera modules are applied
CN106530732A (en) * 2016-11-08 2017-03-22 合肥掌韵车聚信息科技有限公司 Parking lot video vehicle license plate recognition system based on ORC technology
CN112257541A (en) * 2020-10-16 2021-01-22 浙江大华技术股份有限公司 License plate recognition method, electronic device and computer-readable storage medium

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
高群惠: "货车车牌识别及煤场车辆信息管理系统的设计与实现", 《中国优秀硕士学位论文全文数据库 (工程科技Ⅰ辑)》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113989485A (en) * 2021-11-29 2022-01-28 合肥高维数据技术有限公司 Text character segmentation method and system based on OCR recognition

Similar Documents

Publication Publication Date Title
Rashid et al. Automatic parking management system and parking fee collection based on number plate recognition
CN101937508B (en) License plate localization and identification method based on high-definition image
CN104951784B (en) A kind of vehicle is unlicensed and license plate shading real-time detection method
CN103034848B (en) A kind of recognition methods of form types
CN103279756B (en) Vehicle detection based on integrated classifier analyzes system and determination method thereof
CN104077570B (en) It is a kind of to merge radio frequency identification and the method and system of Car license recognition
Al Faqheri et al. A real-time Malaysian automatic license plate recognition (M-ALPR) using hybrid fuzzy
CN105930831A (en) License plate intelligent identification method
CN103136528A (en) Double-edge detection based vehicle license plate identification method
Islam et al. Automatic vehicle number plate recognition using structured elements
CN105448105A (en) Patrol police vehicle-based monitoring system
CN109657676A (en) Licence plate recognition method and system based on convolutional neural networks
CN104834891A (en) Method and system for filtering Chinese character image type spam
Lin et al. Automatic vehicle license plate recognition system for smart transportation
CN114821725A (en) Miner face recognition system based on neural network
Goel et al. Vehicle registration plate recognition system using template matching
Kumar et al. An Implementation of Automatic Number Plate Detection and Recognition using AI
Hossain et al. Bangla digital number plate recognition using template matching for higher accuracy and less time complexity
CN113505782A (en) Recognition system combining wagon license plate and carriage handwritten license plate
Chowdhury et al. Identification of unauthorized vehicles by license plate recognition through image processing
Ali Developing recognition system for new Iraqi license plate
Thaiparnit et al. Tracking vehicles system based on license plate recognition
Wanniarachchi et al. License plate identification based on image processing techniques
Joseph et al. A Study on Localization Techniques for Automatic License Plate Recognition System
Ghangurde et al. Automatic number plate recognition for different fonts and non-roman script

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