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.
Learn OpenCV 4 By Building Projects - Second Edition
By :
Learn OpenCV 4 By Building Projects - Second Edition
By:
Overview of this book
OpenCV is one of the best open source libraries available, and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you’re completely new to computer vision, or have a basic understanding of its concepts, Learn OpenCV 4 by Building Projects – Second edition will be your guide to understanding OpenCV concepts and algorithms through real-world examples and projects.
You’ll begin with the installation of OpenCV and the basics of image processing. Then, you’ll cover user interfaces and get deeper into image processing. As you progress through the book, you'll learn complex computer vision algorithms and explore machine learning and face detection. The book then guides you in creating optical flow video analysis and background subtraction in complex scenes. In the concluding chapters, you'll also learn about text segmentation and recognition and understand the basics of the new and improved deep learning module.
By the end of this book, you'll be familiar with the basics of Open CV, such as matrix operations, filters, and histograms, and you'll have mastered commonly used computer vision techniques to build OpenCV projects from scratch.
Related Content you might be interested in
Current Title:
Learn OpenCV 4 By Building Projects - Second Edition
Table of Contents (14 chapters)
Preface
Free Chapter
Getting Started with OpenCV
An Introduction to the Basics of OpenCV
Learning Graphical User Interfaces
Delving into Histogram and Filters
Automated Optical Inspection, Object Segmentation, and Detection
Learning Object Classification
Detecting Face Parts and Overlaying Masks
Video Surveillance, Background Modeling, and Morphological Operations
Learning Object Tracking
Developing Segmentation Algorithms for Text Recognition
Text Recognition with Tesseract
Deep Learning with OpenCV
Other Books You May Enjoy
Customer Reviews