Abstract:
Abstract: - Digital Image Processing is application of computer
algorithms to process, manipulate and interpret images. As a
field it is playing an increasingly important role in many aspects
of people’s daily life. Even though Image Processing has
accomplished a great deal on its own, nowadays researches are
being conducted in using it with Deep Learning (which is part of
a broader family, Machine Learning) to achieve better
performance in detecting and classifying objects in an image.
Car’s License Plate Recognition is one of the hottest research
topics in the domain of Image Processing (Computer Vision). It
is having wide range of applications since license number is the
primary and mandatory identifier of motor vehicles. When it
comes to license plates in Ethiopia, they have unique features
like Amharic characters, differing dimensions and plate formats.
Although there is a research conducted on ELPR, it was
attempted using the conventional image processing techniques
but never with deep learning. In this proposed research an
attempt is going to be made in tackling the problem of ELPR with
deep learning and image processing. Tensorflow is going to be
used in building the deep learning model and all the image
processing is going to be done with OpenCV-Python. So, at the
end of this research a deep learning model that recognizes
Ethiopian license plates with better accuracy is going to be built.
