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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

How the text API works

The text API implements the algorithm that was proposed by Lukás Neumann and Jiri Matas in the article Real-Time Scene Text Localization and Recognition during the computer vision and pattern recognition (CVPR) conference in 2012. This algorithm represented a significant increase in scene text detection, performing state-of-the art detection both in the CVPR database, as well as in the Google Street View database. Before using the API, let's take a look at how this algorithm works under to hood, and how it addresses the scene text detection problem.

Remember: The OpenCV 4.0 text API does not come with the standard OpenCV modules. It's an additional module that's present in the OpenCV contrib package. If you installed OpenCV using the Windows Installer, you should take a look back at Chapter 1, Getting Started with OpenCV; this will guide...
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