Date of Award

Winter 2-2020

Document Type

Thesis

Degree Name

Bachelor Degree

Department

Mechatronics, System Engineering and Robotics

First Advisor

Bertan Karahoda

Language

English

Abstract

The detection of a vehicle License Plate is a key technique in most of the applications related to vehicles movement. Automatic detection of car license plate number became a very important in our daily life because of the unlimited increase of cars and transportation systems whichmake it impossible to be fully managed and monitored by humans, examples are so many like traffic monitoring, tracking stolen cars, managing parking toll, red-light violation enforcement,border and customs checkpoint.As known is a quite popular and active research topic in the field of image processing.Diffrent methods and algorithms have been developed to detect License Plate(LP).In this thesis is suggested a new approach to solv the problem of treating the LP as an object,the focus is made only on detecting the LP.

The object detection techniques ,includes convolution neural network with region proposal(RCNN),with option that includes (Fast - RCNN) and exemplar Support Vector Machines(SVM) are used in this work to provide solutions to the problem.

DOI

10.33107/ubt-etd.2020.2305

Download

Share

COinS