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Learn OpenCV 4 by Building Projects

You're reading from   Learn OpenCV 4 by Building Projects Build real-world computer vision and image processing applications with OpenCV and C++

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789341225
Length 310 pages
Edition 2nd Edition
Languages
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Authors (3):
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David Millán Escrivá David Millán Escrivá
Author Profile Icon David Millán Escrivá
David Millán Escrivá
Prateek Joshi Prateek Joshi
Author Profile Icon Prateek Joshi
Prateek Joshi
Vinícius G. Mendonça Vinícius G. Mendonça
Author Profile Icon Vinícius G. Mendonça
Vinícius G. Mendonça
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Table of Contents (14) Chapters Close

Preface 1. Getting Started with OpenCV 2. An Introduction to the Basics of OpenCV FREE CHAPTER 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

Installing Tesseract OCR on your operating system

Tesseract is an open source OCR engine that was originally developed by Hewlett-Packard Laboratories Bristol and Hewlett-Packard Co. All of its code is licensed under the Apache License and hosted on GitHub at https://github.com/tesseract-ocr. It is considered one of the most accurate OCR engines available: it can read a wide variety of image formats and can convert text written in more than 60 languages. In this session, we will teach you how to install Tesseract on Windows or Mac. Since there's lots of Linux distributions, we will not teach you how to install it on this operating system. Normally, Tesseract offers installation packages in your package repository, so, before compiling Tesseract yourself, just search for it there.

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