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

? Wait… There’s More!

View your slides from anywhere!

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