Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Mastering OpenCV 4
  • Table Of Contents Toc
Mastering OpenCV 4

Mastering OpenCV 4 - Third Edition

By : Roy Shilkrot, Millán Escrivá
2.7 (3)
close
close
Mastering OpenCV 4

Mastering OpenCV 4

2.7 (3)
By: Roy Shilkrot, Millán Escrivá

Overview of this book

Mastering OpenCV, now in its third edition, targets computer vision engineers taking their first steps toward mastering OpenCV. Keeping the mathematical formulations to a solid but bare minimum, the book delivers complete projects from ideation to running code, targeting current hot topics in computer vision such as face recognition, landmark detection and pose estimation, and number recognition with deep convolutional networks. You’ll learn from experienced OpenCV experts how to implement computer vision products and projects both in academia and industry in a comfortable package. You’ll get acquainted with API functionality and gain insights into design choices in a complete computer vision project. You’ll also go beyond the basics of computer vision to implement solutions for complex image processing projects. By the end of the book, you will have created various working prototypes with the help of projects in the book and be well versed with the new features of OpenCV4.
Table of Contents (12 chapters)
close
close

ANPR algorithm

Before explaining the ANPR code, we need to define the main steps and tasks in the ANPR algorithm. ANPR is divided into two main steps, plate detection and plate recognition:

  • Plate detection has the purpose of detecting the location of the plate in the whole camera frame.
  • When a plate is detected in an image, the plate segment is passed to the second step (plate recognition), which uses an OCR algorithm to determine the alphanumeric characters on the plate.

In the following diagram, we can see the two main algorithm steps, plate detection and plate recognition. After these steps, the program paints in the camera image the plate's characters that have been detected. The algorithms can return bad results, or may not return any result:

In each step shown in the previous diagram, we will define three additional steps that are commonly used in pattern recognition...

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Mastering OpenCV 4
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon