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OpenCV By Example

OpenCV By Example

By : Joshi, Millán Escrivá, Vinícius G. Mendonça
3.8 (5)
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OpenCV By Example

OpenCV By Example

3.8 (5)
By: Joshi, Millán Escrivá, Vinícius G. Mendonça

Overview of this book

Open CV is a cross-platform, free-for-use library that is primarily used for real-time Computer Vision and image processing. It is considered to be one of the best open source libraries that helps developers focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you are completely new to the concept of Computer Vision or have a basic understanding of it, this book will be your guide to understanding the basic OpenCV concepts and algorithms through amazing real-world examples and projects. Starting from the installation of OpenCV on your system and understanding the basics of image processing, we swiftly move on to creating optical flow video analysis or text recognition in complex scenes, and will take you through the commonly used Computer Vision techniques to build your own Open CV projects from scratch. By the end of this book, you will be familiar with the basics of Open CV such as matrix operations, filters, and histograms, as well as more advanced concepts such as segmentation, machine learning, complex video analysis, and text recognition.
Table of Contents (13 chapters)
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12
Index

Summary

In this chapter, we presented a brief introduction to OCR applications. We saw that the preprocessing phase of such systems must be adjusted according to the type of documents that we are planning to identify. We learned the common operations while preprocessing text files, such as thresholding, cropping, skewing, and text region segmentation. Finally, we learned how to install and use Tesseract OCR to convert our image to text.

In the next chapter, we'll use a more sophisticated OCR technique to identify text in a casually taken picture or video—a situation known as scene text recognition. This is a much more complex scenario, since the text can be anywhere, in any font, and with different illuminations and orientations. There can be no text at all! We'll also learn how to use the OpenCV 3.0 text contribution module, which is fully integrated with Tesseract.

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