Abstract:
With an everyday increase in the number of cars on our roads and highways, we are facing numerous problems, for example:
• Smuggling of cars
• Invalid license plates
• Identification of stolen cars
• Usage of cars in terrorist attacks/illegal activities
In order to address the above issues, we took up the project of developing a prototype, which can perform license plate recognition (LPR). This project, as the name signifies, deals with reading, storing and comparing the license plate numbers retrieved from snapshots of cars to ensure safety in the country and ultimately help to reduce unauthorized vehicles access and crime.
License Plate Recognition (LPR) has been a practical technique in the past decades. It is one of the most important applications for Computer Vision, Patter Recognition and Image Processing in the field of Intelligent Transportation Systems (ITS).
Generally, the LPR system is divided into three steps, license plate locating, license plate character segmentation and license plate recognition. This project discusses a complete license plate recognition system with special emphasis on the Localization Module.In this study, the proposed algorithm is based on extraction of plate region using morphological operations and shape detection algorithms. Segmentation of plate made use of horizontal and vertical smearing and line detection algorithms. Lastly, template matching algorithms were used for character recognition.
The implementation of the project was done in the platforms of Matlab and OpenCV.
AUTOMATIC LICENSE PLATE RECOGNITION SYSTEM FOR INDIAN VEHICLE IDENTIFICATION ...Kuntal Bhowmick
Automatic License Plate Recognition (ANPR) is a practical application of image processing which uses number (license) plate is used to identify the vehicle. The aim is to design an efficient automatic vehicle identification system by using the
vehicle license plate. The system is implemented on the entrance for security control of a highly restricted area like
military zones or area around top government offices e.g.Parliament, Supreme Court etc.
It is worth mentioning that there is a scarcity in researches that introduce an automatic number plate recognition for indian vechicles.In this paper, a new algorithm is presented for Indian vehicle’s number plate recognition system. The proposed algorithm consists of two major parts: plate region extraction and plate recognition.Vehicle number plate region is extracted using the image segmentation in a vechicle image.Optical character recognition technique is used for the character recognition. And finally the resulting data is used to compare with the records on a database so as to come up with the specific information like the vehicle’s owner, registration state, address, etc.
The performance of the proposed algorithm has been tested on real license plate images of indian vechicles. Based on the experimental results, we noted that our algorithm shows superior performance special in number plate recognition phase.
Abstract:
With an everyday increase in the number of cars on our roads and highways, we are facing numerous problems, for example:
• Smuggling of cars
• Invalid license plates
• Identification of stolen cars
• Usage of cars in terrorist attacks/illegal activities
In order to address the above issues, we took up the project of developing a prototype, which can perform license plate recognition (LPR). This project, as the name signifies, deals with reading, storing and comparing the license plate numbers retrieved from snapshots of cars to ensure safety in the country and ultimately help to reduce unauthorized vehicles access and crime.
License Plate Recognition (LPR) has been a practical technique in the past decades. It is one of the most important applications for Computer Vision, Patter Recognition and Image Processing in the field of Intelligent Transportation Systems (ITS).
Generally, the LPR system is divided into three steps, license plate locating, license plate character segmentation and license plate recognition. This project discusses a complete license plate recognition system with special emphasis on the Localization Module.In this study, the proposed algorithm is based on extraction of plate region using morphological operations and shape detection algorithms. Segmentation of plate made use of horizontal and vertical smearing and line detection algorithms. Lastly, template matching algorithms were used for character recognition.
The implementation of the project was done in the platforms of Matlab and OpenCV.
AUTOMATIC LICENSE PLATE RECOGNITION SYSTEM FOR INDIAN VEHICLE IDENTIFICATION ...Kuntal Bhowmick
Automatic License Plate Recognition (ANPR) is a practical application of image processing which uses number (license) plate is used to identify the vehicle. The aim is to design an efficient automatic vehicle identification system by using the
vehicle license plate. The system is implemented on the entrance for security control of a highly restricted area like
military zones or area around top government offices e.g.Parliament, Supreme Court etc.
It is worth mentioning that there is a scarcity in researches that introduce an automatic number plate recognition for indian vechicles.In this paper, a new algorithm is presented for Indian vehicle’s number plate recognition system. The proposed algorithm consists of two major parts: plate region extraction and plate recognition.Vehicle number plate region is extracted using the image segmentation in a vechicle image.Optical character recognition technique is used for the character recognition. And finally the resulting data is used to compare with the records on a database so as to come up with the specific information like the vehicle’s owner, registration state, address, etc.
The performance of the proposed algorithm has been tested on real license plate images of indian vechicles. Based on the experimental results, we noted that our algorithm shows superior performance special in number plate recognition phase.
Automatic number plate recognition using matlabChetanSingh134
The project is based on Image processing.It basically detects the number plate while following an algorithm based on image processing.It does that by following certain steps like image detection, character segmentation, OCR, and template matching.Have a look at the ppt and you will understand each step clearly
Programmed Number Plate Recognition is truncated as ANPR. An Automatic Number Plate Recognition utilizes optical character acknowledgment innovation to naturally peruse vehicle tag as an Image.
License Plate Recognition System using Python and OpenCVVishal Polley
License plate recognition (LPR) is a type of technology, mainly software, that enables computer systems to read automatically the registration number (license number) of vehicles from digital pictures.
With so much of our lives computerized, it is vitally important that machines and humans can understand one another and pass information back and forth. Mostly computers have things their way we have to & talk to them through relatively crude devices such as keyboards and mice so they can figure out what we want them to do. However, when it comes to processing more human kinds of information, like an old-fashioned printed book or a letter scribbled with a fountain pen, computers have to work much harder. That is where optical character recognition (OCR) comes in. Here we process the image, where we apply various pre-processing techniques like desk wing, binarization etc. and algorithms like Tesseract to recognize the characters and give us the final document. T.Gnana Prakash | K. Anusha"Text Extraction from Image using Python" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2501.pdf http://www.ijtsrd.com/computer-science/simulation/2501/text-extraction-from-image-using-python/tgnana-prakash
Automatic number plate recognition using matlabChetanSingh134
The project is based on Image processing.It basically detects the number plate while following an algorithm based on image processing.It does that by following certain steps like image detection, character segmentation, OCR, and template matching.Have a look at the ppt and you will understand each step clearly
Programmed Number Plate Recognition is truncated as ANPR. An Automatic Number Plate Recognition utilizes optical character acknowledgment innovation to naturally peruse vehicle tag as an Image.
License Plate Recognition System using Python and OpenCVVishal Polley
License plate recognition (LPR) is a type of technology, mainly software, that enables computer systems to read automatically the registration number (license number) of vehicles from digital pictures.
With so much of our lives computerized, it is vitally important that machines and humans can understand one another and pass information back and forth. Mostly computers have things their way we have to & talk to them through relatively crude devices such as keyboards and mice so they can figure out what we want them to do. However, when it comes to processing more human kinds of information, like an old-fashioned printed book or a letter scribbled with a fountain pen, computers have to work much harder. That is where optical character recognition (OCR) comes in. Here we process the image, where we apply various pre-processing techniques like desk wing, binarization etc. and algorithms like Tesseract to recognize the characters and give us the final document. T.Gnana Prakash | K. Anusha"Text Extraction from Image using Python" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2501.pdf http://www.ijtsrd.com/computer-science/simulation/2501/text-extraction-from-image-using-python/tgnana-prakash
A License plate is a rectangular plate which is alphanumeric. The license plate is fixed on the vehicle and used to identify the
vehicle along with honor of that vehicle. There is a huge nos. of vehicles are on the road word wile so that traffic control and
vehicle owner identification has become a major problem.
The automatic number plate reorganization (ANPR) is one of the solutions of such kind of problem. There is nos. of methodologies
but it is challenging task as some of the factors like high speed of vehicles, languages of number plate & mostly non-uniform
letter on number plate effects a lot in recognition. The license plate recognition (LPR) system have many application like payment
of parking fees; toll fee on highway; traffic monitoring system; border security system; signal system etc.
In this paper, the different method of license plate recognition is discussed. The systems first detects the vehicle and capture the
image then the number plate of vehicle is extracted from the image using image Segmentation optical character recognition technique
is used for the character recognition. Then the resulting date is compared with the database record so we come up the information
like the vehicle’s owner, vehicle registration place, address etc. it is observed that developed system successfully defect
& recognize the vehicle number plate on real image.
Vehicle Number Plate Recognition using MATLABAI Publications
The VPR (Vehicle Number plate Recognition) system is based on image processing technology. It is one of the necessary systems designed to detect the vehicle number plate. In today’s world with the increasing number of vehicle day by day it’s not possible to manually keep a record of the entire vehicle. With the development of this system it becomes easy to keep a record and use it whenever required. The main objective here is to design an efficient automatic vehicle identification system by using vehicle number plate. The system first would capture the vehicles image as soon as the vehicle reaches the security checking area. The captured images are then extracted by using the segmentation process. Optical character recognition is used to identify the characters. The obtained data is then compared with the data stored in their database. The system is implemented and simulated on MATLAB and performance is tested on real images. This type of system is widely used in Traffic control areas, tolling, parking area .etc. This system is mainly designed for the purpose of security system. Basically video surveillance system is used for security purpose as well as monitoring systems. But Detection of moving object is a challenging part of video surveillance. Video surveillance system is used for Home security, Military applications, Banking /ATM security, Traffic monitoring etc. Now a day’s due to decreasing costs of high quality video surveillance systems, human activity detection and tracking has become increasingly in practical. Accordingly, automated systems have been designed for numerous detection tasks, but the task of detecting illegally parked vehicles has been left largely to the human operators of surveillance systems. The detection of Indian vehicles by their number plates is the most interesting and challenging research topic from past few years.
introduction to licence plate recognition technique, optical character recognition, functions used in the program, pros and cons, applications, future scope.
• As now a days railway accidents are occuring more and more, large amount of people lost their lives, and economical impact of it is also very high. This all happens due to improper management, and less control available!!
Due to this project lot of information gets gather about train, and so it will help for BETTER MANAGEMENT.
• Due to this, human labor can be minimized, so government can plant this labor at other work and it can improve other system also.
• By automatic signals, accidents of train on same track will get minimized so health of people traveling through train gets highly ensured.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
MATLAB Based Vehicle Number Plate Identification System using OCR
1. MATLAB Based Vehicle Number Plate
Identification System using OCR
Submitted by
Ghanshyam Dusane (BE-A 46)
Guided by
Prof. Neeta Pingle
Marathwada Institute of Technology, Aurangabad
Department of Electronics and Communication
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2. Contents
Need
AIM
Literature Survey
OCR
Block Diagram
Flow Chart & Work Flow
Basic Modules And Sensors
Examples
Applications
Conclusion
References 12/4/2015 7:53:54
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3. Need
Smart Parking System Management
Identification of stolen cars or bikes
Smuggling of Cars or bikes
Invalid license plates
Usage of cars in terrorist attacks/illegal activities
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4. AIM
We intended to develop a system in MATLAB
which can perform detection as well as
recognition of Vehicle License Number plate
The objective of this project is to recognize
Vehicle License Number plate using serial
communication.
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5. SYSTEM REQUIREMENTS
Software Requirement Hardware Requirement
System Type: 32-bit operating
system,
x86 based processor
WEB- CAM
OS Installed: Windows XP or
higher
Personal Computer (PC)
MATLB 7.0 or Above installed Microcontroller
Servomotor/DC Motor
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6. Literature Review
Paper 1
“AUTOMATIC NUMBER PLATE RECOGNITION SYSTEM FOR VEHICLE
IDENTIFICATION USING OPTICAL CHARACTER RECOGNITION”
Proceedings of the World Congress on Engineering and Computer Science 2012 Vol I WCECS
2012, October 24-26, 2012, San Francisco, USA.
Presented By :- MUHAMMAD TAHIR QADRI, MUHAMMAD ASIF
This paper presents a robust method of license plate detection and
recognition based on Hough lines using Hough transformation and template matching
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7. Paper 2
“Automatic Vehicle Identification by Plate
Recognition”
World Academy of Science, Engineering and Technology International
Journal of Electrical Computer, Energetic, Electronic and Communication
Engineering Vol:1, No:9, 2007.
Presented By :- Serkan Ozbay, and Ergun Ercelebi
In this paper, a smart and simple algorithm is presented for vehicle’s license
plate recognition system. The proposed algorithm consists of three major parts:
Extraction of plate region, segmentation of characters and recognition of plate
characters. For extracting the plate region, edge detection algorithms and smearing
algorithms are used. In segmentation part, smearing algorithms, filtering and some
morphological algorithms are used.
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8. Paper 3
“Automobile Number Plate Recognition And
Extraction Using Optical Character Recognition”
INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH
VOLUME 3, ISSUE 10, OCTOBER 2014
Presented By :- Raja Vikramdeep Singh, Navneet Randhawa
The purpose of this research is to develop an application which recognizes
license plates from vehicles. The system takes images of automobiles as input and
processes them. Once a license plate is detected, its digits are recognized and
displayed on the User Interface. This work focuses on the design of a single algorithm
used for extracting the license plate from a single image, isolating the characters of
the plate and identifying the individual characters
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9. Paper 4
“A Review Paper on Automatic Number Plate Recognition
(ANPR) System”
International Journal of Innovative Research in Advanced
Engineering (IJIRAE)
Volume 1 Issue 1 (April 2014)
Presented By : - Dhiraj Y. Gaikwad and Pramod B. Borole
In this review paper, the automatic number plate recognition system
using vehicle license plate is presented. The system use image processing techniques
for identifying the vehicle from the database stored in the computer. The system works
satisfactorily for wide variation of conditions and different types of number plates. The
system is implemented and executed in Matlab and performance is tested on genuine
images.
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10. BASIC PROJECT
Input image ( from real
environment)
Algorithm using (MATLAB)
Output -Microcontroller serial
interfacing with hardware.
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11. Block Diagram
Vehicle WEB-CAM
OUTPUT-ASSCII Character
Character Recognition
Image Acquisition
Localization of Number Plate
Plate Segmentation
Door Control Microcontroller
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OCR System
12. OCR
OCR is a technology that enables
you to convert different types of
documents captured by a digital
camera into editable and
searchable data.
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Fig. OCR Technology
13. Flow Chart of extraction in
MATLAB
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15. WORKFLOW
Image was taken from real environment .
Process Digital Images of License Plates using existing/modified
algorithms.
Algorithms will perform alpha numeric conversions on the captured license
plate images into text entries.
System would check the extracted entries against a database in real time.
The entire system is implemented in MATLAB is used for detection and
recognition .
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17. Basic Modules of the System
Detection is done by Character Segmentation
Locates the alpha numeric characters on a license
plate.
Optical Character Recognition (OCR)
Translates the segmented characters into text
entries.
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18. Load The Image From File
a=imread(‘car 10.JPG’)
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19. Preprocessing
Preprocessing is very important for the good
performance of character segmentation.
Preprocessing consists of :
Resizing image
Rgb to gray
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24. Characters Segmentation
Horizontal & Vertical Segmentation
Detect the horizontal lines in the image with a pixel value of
zero.
Converting the image into binary.
Use simple “for loops” to detect the portions of the image that
had connected objects with a pixel value of ‘0’ and hence
accordingly, the image was read.
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26. Template Matching
Template matching is one of the most
common and easy classification method
for recognizing the characters.
We used code for OCR
Characters Recognition
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27. Applications
Red Light Violation Enforcement
Border And Customs Checkpoints
Smart Parking System Management
Detection Of Invalid License Plates
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28. Conclusion
The automatic number plate recognition system using
vehicle license plate is presented. The system use image
processing techniques for identifying the vehicle from the
database stored in the computer.
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29. References
Optical Character Recognition
Ravina Mithe, Supriya Indalkar, Nilam Divekar 2013
International Journal Of Recent Technology And Engineering (Ijrte)
Design Of An Optical Character Recognition System For Camera-Based Handheld Devices
Ayatullah Faruk Mollah, Nabamita Majumder Subhadip Basu, And Mita Nasipuri
2011 International Journal Of Computer Science Issues
Number Plate Recognition Using an Improved Segmentation
Mr. G. T. Sutar , Prof. Mr. A.V. Shah P.G. Student, Department of Electronics Engineering, D.K.T.
Engineering College, Ichalkaranji, Maharashtra, India Associate Professor,
Department of Electronics Engineering, D.K.T. Engineering College, Ichalkaranji, Maharashtra
A Review Paper on Automatic Number Plate Recognition (ANPR) System
International Journal of Innovative Research in Advanced Engineering (IJIRAE)
Volume 1 Issue 1 (April 2014)
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