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Computer Vision Projects with OpenCV and Python 3

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

Product type Book
Published in Dec 2018
Publisher Packt
ISBN-13 9781789954555
Pages 182 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Matthew Rever Matthew Rever
Profile icon Matthew Rever
LinkedIn
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.
See other products by Matthew Rever

Table of Contents (9) Chapters

Preface 1. Setting Up an Anaconda Environment 2. Image Captioning with TensorFlow 3. Reading License Plates with OpenCV 4. Human Pose Estimation with TensorFlow 5. Handwritten Digit Recognition with scikit-learn and TensorFlow 6. Facial Feature Tracking and Classification with dlib 7. Deep Learning Image Classification with TensorFlow 8. Other Books You May Enjoy

Reading License Plates with OpenCV

This chapter provides an overview of how to extract and display license plate characters in any sample photo with a license plate in it. OpenCV and its plate utility functions help us find the characters on a license plate, and give us a good taste of how computer vision and image processing work.

In this chapter, we will learn about the following:

  • The steps needed to read license plates
  • Plate utility functions
  • Finding plate characters
  • Finding and reading license plates
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Authors (1)

Profile icon Matthew Rever
LinkedIn
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
See other products by Matthew Rever

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