Abstract:
recognition (OCR) to identify vehicles using their license plate. In this project, an algorithm
has been proposed to detect and read Bengali license plate.
Nowadays automatic vehicle monitoring system has drawn the importance due to maintain
numerous traffic that are increasing rapidly in Bangladesh. Every vehicle has unique
identification (license plate).So it is very easy and simple task to track and monitor any
particular vehicle using their license plate. Because it is an automatic system that save a lot
of time and workers instead of tracking and monitoring manually. For these purpose
Automatic Number Plate Recognition (ANPR) is designed and developed.
Automatic Number plate Recognition plays a vital part for controlling and managing vehicle
and vehicle related works. This automatic detection system can be efficient for toll collection
system, vehicle parking system, traffic control system, vehicle-tracking system, finding lost
vehicle as well as detecting guilty vehicle involved in crime for police etc.
There are mainly two types license plate exist in Bangladeshi Vehicle. The green background
license plate is for commercial use and the white background license plate is for personal
used vehicle. These license plates have four major part ordering in two line. First line
describes the area name and type of vehicle and the second line describes vehicle class and
registration number.
Many approaches are used for ANPR but it needs a simple method with low complexity for
detecting vehicle as fast as possible. This algorithm has three major steps- detection,
segmentation and recognition.
For detection firstly, it uses the feature of Haar Cascade, which is a machine learning based
approach where a cascade function is trained from a lot of positive and negative images. It is
used to detect objects in other images. It is well known for being able to detect faces and
body parts in an image, but can be trained to identify almost any object. Then boundary box
approach is use to segment these characters separately for area name, type, class and
registration number and convert to text file from image. Finally, with the help of Template
matching algorithm it recognizes the word and number used in Bengali license plate.
This system has less complexity and high efficiency for number plate detection and
recognition.
Description:
This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering of East West University, Dhaka, Bangladesh.