Automatic Number Plate Recognition (ANPR) System using Machine Learning Techniques
Date
2018-11-26Author
Fernández Sánchez, Leticia
Metadata
Show full item recordAbstract
Automatic Number Plate Recognition (ANPR) systems are widely used on a wide range
of applications nowadays. The proposed approach has been developed in order to recognise
UK number plates from high resolution digital images making use of the latest Computer
Vision techniques and Machine Learning methods. For this purpose, a comparison
among the different existing Computer Vision techniques used in ANPR is carried out
and a deep insight on the operation and mode of use of the most commonly used Machine
Learning algorithms in ANPR is provided, being these: Support Vector Machines, Artificial
Neural Networks and K-Nearest Neighbours. Besides, for the development of an
efficient, fast and reliable ANPR application, a huge car images dataset is created from
scratch, necessary both for training the Machine Learning algorithms and for evaluating
the performance of the developed system. The global results obtained, which are equal to
or above 90% of success with a response time of less than 3 seconds, prove that the system
is able to compete with other recently developed ANPR systems of similar characteristics.