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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

C++

Concepts

Computer Vision

Authors (3):

David Millán Escrivá

Vinícius G. Mendonça

Prateek Joshi

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Table of Contents (14) Chapters

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

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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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Authors (3)

David Millán Escrivá

David Millán Escrivá was 8 years old when he wrote his first program on an 8086 PC in Basic, which enabled the 2D plotting of basic equations. In 2005, he finished his studies in IT with honors, through the Universitat Politécnica de Valencia, in human-computer interaction supported by computer vision with OpenCV (v0.96). He has worked with Blender, an open source, 3D software project, and on its first commercial movie, Plumiferos, as a computer graphics software developer. David has more than 10 years' experience in IT, with experience in computer vision, computer graphics, pattern recognition, and machine learning, working on different projects, and at different start-ups, and companies. He currently works as a researcher in computer vision.

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Vinícius G. Mendonça

Vinícius G. Mendonça is a professor at PUCPR and a mentor at Apple Developer Academy. He has a master's degree in Computer Vision and Image Processing (PUCPR) and a specialization degree in Game Development (Universidade Positivo). He is also one of the authors of the book Learn OpenCV 4 by Building Projects, also by Packt Publishing. He has been in this field since 1996. His former experience includes designing and programming a multithreaded framework for PBX tests at Siemens, coordination of Aurélio Dictionary software (including its apps for Android, IOS, and Windows phones), and coordination of an augmented reality educational activity for Positivo's Mesa Alfabeto, presented at CEBIT. Currently, he works with server-side Node.js at a company called Tenet Tech.

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Prateek Joshi

Prateek Joshi is the founder of Plutoshift and a published author of 9 books on Artificial Intelligence. He has been featured on Forbes 30 Under 30, NBC, Bloomberg, CNBC, TechCrunch, and The Business Journals. He has been an invited speaker at conferences such as TEDx, Global Big Data Conference, Machine Learning Developers Conference, and Silicon Valley Deep Learning. Apart from Artificial Intelligence, some of the topics that excite him are number theory, cryptography, and quantum computing. His greater goal is to make Artificial Intelligence accessible to everyone so that it can impact billions of people around the world.

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