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Title:Automatic Number Plate Recognition using Optical Character Recognition (OCR)
Group Members:
1Gulraiz Javaid
2Waqas
rasheed
3Aftab
Farooq
NUST College of electrical and mechanical engineering , ISB, Pakistan
Introduction Aim of the project Project timeline Technical properties of project Hardware and software of project System Model OCR - Technology System Flow Diagram Results Final output Technology used Influence of project Applications of project Conclusion and future scope References
Presentation Covers
NUST College of electrical and mechanical engineering
INTRODUCTION
Presenter: Gulraiz Javaid
1
ANPR stands for Automatic Number Plate Recognition.
Technology has different names:
License Plate Recognition
Car Registration System
Intelligent Transport System
Introduction to ANPR
Optical Character Recognition (OCR) on images to read the license plates on vehicles.
ANPR Cameras are specialized types of CCTV camera.
Introduction to ANPR
Basic and Primary Aim of the project was Learning.
Reduce Crime and the Fear of Crime.
Reduce Burglaries .
Reduce Vehicle Crime.
Reduce shop theft and public damages .
Reduce motorcycle / traffic related problems
AIM of the project
We created our own dataset. Which consist of different models, colors and different manufacturers of the cars.
Project DataSet
Sr. No. Class Resolution Bit Depth ColorFocal
Length (mm)
Size(mb)
Data type
45 Honda 1024 * 240 24 Blue 4 1.96 JPEG
46 Honda 1024 * 240 24 White 4 1.93 JPEG
47 Imported
1024 * 240 24 Silver-white 4 1.68 JPEG
Home Work on
ANPR 5 Dec 2016
Home Work on OCR 18 Dec 2016
Created Data Set & Tool
Selection 26 Dec 2016
Meetings of project First – Facing issues
on 15 Jan 2017,
Second - Problems
discussed on 23 Jan 2017
Project Completed on 30
Jan 2016
Project Timeline
Technical Part of Project
Presenter: Waqas Rasheed
2
System Flow Diagram
Final Output:
Technologies Used
Application Type:Windows Forms (Desktop App)
Language:C#.NET Libraries:EmguCVTesseract OCR Engine
IDE:Visual Studio 2015
System Model,
Applications, Future Scope and Conclusion of Project
Presenter: Aftab Farooq
3
Hardware and Software of Project
Software
Hardware
Hardware and Software of Project
Software Hardware
Webcam
PC
Storage
IR Sensor
EmguCV libraries
Visual Studio
OCR
System Model
OCR – Technology
We have used Tesseract OCR Engine.
Few of its important commands is listed below.
dataPath: Trained samples,
Language: eng
tessedit_char_whitelist: "ABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890“
tessedit_char_blacklist:
Parking Management
Access-control in sensitive organizations
Tolling at Toll Plaza
Border control
Applications of the project
System Flow Diagram
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Reduce Crime and the Fear of Crime.
Reduce Burglaries .
Reduce Vehicle Crime.
Reduce shop theft and public damages .
Reduce motorcycle / traffic related problems
Influence of project
Conclusion & Future ScopeThe automatic vehicle identification system plays an
important role in detecting security threat.
The system use series of image processing techniques for identifying the vehicle from the database stored in the PC
The system is implemented in Matlab and it performance is tested on real images.
The system robustness and speed can be increase if high resolution camera is used.
1. Muhammad Tahir Qadri, Muhammad Asif’, “automatic number plate recognition system for vehical identification using optical character recognition”, 2009 International Conference on Education Technology and Computer .
2. D.Renuka devi, D .KanagapushpavaUi, “Automatic License Plate Recognition”, 2011 IEEE.
References
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