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OpenCV By Example

You're reading from OpenCV By Example Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3

Product type Paperback

Published in Jan 2016

Publisher Packt

ISBN-13 9781785280948

Length 296 pages

Edition 1st Edition

Languages

C++

Tools

OpenCV

Concepts

Computer Vision

Authors (3):

Vinícius G. Mendonça

David Millán Escrivá

Prateek Joshi

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Table of Contents (13) Chapters

Preface

1. Getting Started with OpenCV FREE CHAPTER

2. An Introduction to the Basics of OpenCV

3. Learning the Graphical User Interface and Basic Filtering

4. Delving into Histograms 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

Index

Installing Tesseract OCR on your operating system

Tesseract is an open source OCR engine originally developed by Hewlett-Packard Laboratories, Bristol and Hewlett-Packard Co. It has all the code licenses under the Apache License and is hosted on GitHub at https://github.com/tesseract-ocr.

It is considered one of the most accurate OCR engines that is 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 are lots of Linux distributions, we will not teach you how to install on this operating system.

Normally, Tesseract offers installation packages in your package repository, so before you compile Tesseract, just search there.

Installing Tesseract on Windows

Although Tesseract is hosted on GitHub, its latest Windows installer is still available in the old repository on Google Code. The latest installer version is 3.02.02, and it's recommended that...

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Authors (3)

Millán Escrivá

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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Joshi

Joshi

Vijay Joshi is a full stack web developer having more than a decade of experience in working with PHP and JavaScript.

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Vinícius G. Mendonça

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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