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Learn OpenCV 4 by Building Projects, - Second Edition

You're reading from  Learn OpenCV 4 by Building Projects, - Second Edition

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781789341225
Pages 310 pages
Edition 2nd Edition
Languages
Authors (3):
David Millán Escrivá David Millán Escrivá
Profile icon David Millán Escrivá
Vinícius G. Mendonça Vinícius G. Mendonça
Profile icon Vinícius G. Mendonça
Prateek Joshi Prateek Joshi
Profile icon Prateek Joshi
View More author details
Toc

Table of Contents (14) Chapters close

Preface 1. Getting Started with OpenCV 2. An Introduction to the Basics of OpenCV 3. Learning Graphical User Interfaces 4. Delving into Histogram and Filters 5. Automated Optical Inspection, Object Segmentation, and Detection 6. Learning Object Classification 7. Detecting Face Parts and Overlaying Masks 8. Video Surveillance, Background Modeling, and Morphological Operations 9. Learning Object Tracking 10. Developing Segmentation Algorithms for Text Recognition 11. Text Recognition with Tesseract 12. Deep Learning with OpenCV 13. Other Books You May Enjoy

Using the text API

Enough theory. It's time to see how the text module works in practice. Let's study how we can use it to perform text detection, extraction, and identification.

Text detection

Let's start by creating a simple program so that we can perform text segmentation using ERFilters. In this program, we will use the trained classifiers from text API samples. You may download this from the OpenCV repository, but they are also available in this book's companion code.

First, we start by including all of the necessary libs and usings:

#include  "opencv2/highgui.hpp" 
#include  "opencv2/imgproc.hpp" 
#include  "opencv2/text.hpp" 
 
#include  <vector> 
#include  &lt...
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