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You're reading from  Computer Vision Projects with OpenCV and Python 3

Product typeBook
Published inDec 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781789954555
Edition1st Edition
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Matthew Rever
Matthew Rever
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Matthew Rever

Matthew Rever received his PhD. in electrical engineering from the University of Michigan, Ann Arbor. His career revolves around image processing, computer vision, and machine learning for scientific research applications. He started programming in C++, a language he still uses today, over 20 years ago, and has also used Matlab and most heavily Python in the past few years, using OpenCV, SciPy, scikit-learn, TensorFlow, and PyTorch. He believes it is important to stay up to date on the latest tools to be as productive as possible. Dr. Rever is the author of Packt's Computer Vision Projects with Python 3 and Advanced Computer Vision Projects.
Read more about Matthew Rever

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Identifying the license plate

In this project, we are going to detect and read license plates in photos of cars. We will be performing multiple steps, from locating the license plate to displaying the characters in the located license plate.

Let's refer to the code in Jupyter Notebook needed to analyze our sample images:

%pylab notebook
figure()
imshow(imread('tests/p1.jpg'))

We get the following photo when we run the code:

We have a photo of a car, with its license plate clearly visible and readable. The challenge is to locate the license plate, isolate it from the rest of the photo, and extract the characters from it.

We can now take a closer look at the license plate using the available utility functions:

There are many algorithms that can help us carry out both these tasks. For example, object detectors such as YOLO: Real-Time Object Detection can do a very...

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Computer Vision Projects with OpenCV and Python 3
Published in: Dec 2018Publisher: PacktISBN-13: 9781789954555

Author (1)

author image
Matthew Rever

Matthew Rever received his PhD. in electrical engineering from the University of Michigan, Ann Arbor. His career revolves around image processing, computer vision, and machine learning for scientific research applications. He started programming in C++, a language he still uses today, over 20 years ago, and has also used Matlab and most heavily Python in the past few years, using OpenCV, SciPy, scikit-learn, TensorFlow, and PyTorch. He believes it is important to stay up to date on the latest tools to be as productive as possible. Dr. Rever is the author of Packt's Computer Vision Projects with Python 3 and Advanced Computer Vision Projects.
Read more about Matthew Rever