Book Image

Building Computer Vision Projects with OpenCV 4 and C++

By : David Millán Escrivá, Prateek Joshi, Vinícius G. Mendonça, Roy Shilkrot
Book Image

Building Computer Vision Projects with OpenCV 4 and C++

By: David Millán Escrivá, Prateek Joshi, Vinícius G. Mendonça, Roy Shilkrot

Overview of this book

OpenCV is one of the best open source libraries available and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation. This Learning Path is your guide to understanding OpenCV concepts and algorithms through real-world examples and activities. Through various projects, you'll also discover how to use complex computer vision and machine learning algorithms and face detection to extract the maximum amount of information from images and videos. In later chapters, you'll learn to enhance your videos and images with optical flow analysis and background subtraction. Sections in the Learning Path will help you get to grips with text segmentation and recognition, in addition to guiding you through the basics of the new and improved deep learning modules. By the end of this Learning Path, you will have mastered commonly used computer vision techniques to build OpenCV projects from scratch. This Learning Path includes content from the following Packt books: •Mastering OpenCV 4 - Third Edition by Roy Shilkrot and David Millán Escrivá •Learn OpenCV 4 By Building Projects - Second Edition by David Millán Escrivá, Vinícius G. Mendonça, and Prateek Joshi
Table of Contents (28 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Introduction to ANPR


ANPR, sometimes known by other terms, such as Automatic License Plate Recognition (ALPR), Automatic Vehicle Identification (AVI), or car plate recognition (CPR), is a surveillance method that uses optical character recognition (OCR) and other methods such as segmentation and detection to read vehicle registration plates.

The best results in an ANPR system can be obtained with an infrared (IR) camera, because the segmentation steps for detection and OCR segmentation are easy and clean, and they minimize errors. This is due to the laws of light, the basic one being that the angle of incidence equals Angle reflection. We can see this basic reflection when we see a smooth surface, such as a plane mirror. Reflection off rough surfaces such as paper leads to a type of reflection known as scatter or diffuse reflection. However, the majority of the country plates have a special characteristic named Retroreflection: the surface of the plate is made with a material that is covered...