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LICENSE PLATE
RECOGNITION SYSTEMProject done by:
M. RESHMA ROOP - 09C21A0438M. HEMANTH KUMAR - 09C21A0442
V. BABU LOKESH - 09C21A0458
GUIDED BYMr. E.KRISHNA HARIASSOCIATE PROFESSOR, DEPT OF ECE
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CONTENTS :AbstractIntroduction
Objectives
Existing technology
Proposed systemBlock diagram
Software tools
Advantages
ApplicationsConclusions
References
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ABSTRACT:
Due to a huge number of vehicles, moderncities need to establish effectivelyautomatic systems for traffic managementand scheduling.
One of the most useful systems is-THEVEHICLE LICENSE-PLATE (VLP)RECOGNITION SYSTEM, which capturesimages of vehicles and read these platesregistration numbers automatically.
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INTRODUCTION
License plate recognition technology is an important part of
the vehicle detection system.
It plays an important role in intelligent transportation system.
For license plate positioning and obtaining the car license
character information, we are using fuzzy theory.
The BP neural network used to recognize the characters of
the license plate.
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Our system consists of three mainmodules:
a. VLP detection,
b. VLP segmentation,
c. VLP recognition.
In VLP detection, we propose an efficientboundary line-based method.
In VLP segmentation, we use
horizontal and vertical projection toseparate plate numbers.
In VLP recognition, each plate number willbe recognized by OCR module.
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EXISTING TECHNOLOGY:
This paper presents a method which
applies fuzzy theory.
To obtain the license information, we use
an improved BP neural networkalgorithm.
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Our system, consists of fourmodules:
Pre-processing,
VLP detection, Character segmentation,
Optical character recognition(OCR),
in which the last three modules dealwith three main problems of a VLPrecognition domain.
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BLOCK DIAGRAM:
Images taken
from Camera
License-plate
characters
Preprocessing VLP Detection
SegmentationOCR
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SOFTWARE TOOLS:
Motorola Droid Phone:
Great for snapping a quickpicture.
Originally thought RGB
values could be exporteddirectly.
MATLAB:
One of the best, fastest
mathematical analysis tools.
Many built-in image
processing functions.
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ADVANTAGES:
Recognition systems has beenimproved.
Reduce the complexity.
Accuracy is more.
High convergence speed.
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APPLICATIONS:
It is very useful for many traffic managementsystems.
It is also used in real-time systems.
It enhance the system robustness.
It is an effective boundary line based method.
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CONCLUSIONS:
The system performs well on various types of VLP
images, even on scratched, scaled plate images.
In addition, it can deal with the cases of multiple
plates in the same image, or different types of vehicles
such as motorbike plates, car plates or truck plates.
However, it still has a few errors when dealing with bad
quality plates.
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REFERENCES:i. D.A.Duc,T.L.Du,T.D.Duan,The 7th International
Conference on Electronics, Information, andCommunications,pg438-441,Vol~1,2004.
ii. A. Rahman, Ahmad Radmanesh, A Real Time
Vehicles License Plate Recognition,
Proceedings of the IEEE on Advanced Videoand Signal Based Surveillance,2003.
iii. Jun-Wei Hsieh,Yung-Sheng Chen,License
Plate Detection from Complex Scenes, 16thInternational Conference,Vol~3,2002.
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Thank you
for yourattention...