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Qt 5 and OpenCV 4 Computer Vision Projects

You're reading from   Qt 5 and OpenCV 4 Computer Vision Projects Get up to speed with cross-platform computer vision app development by building seven practical projects

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Product type Paperback
Published in Jun 2019
Publisher Packt
ISBN-13 9781789532586
Length 348 pages
Edition 1st Edition
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Author (1):
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Zhuo Qingliang Zhuo Qingliang
Author Profile Icon Zhuo Qingliang
Zhuo Qingliang
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Table of Contents (11) Chapters Close

Preface 1. Building an Image Viewer FREE CHAPTER 2. Editing Images Like a Pro 3. Home Security Applications 4. Fun with Faces 5. Optical Character Recognition 6. Object Detection in Real Time 7. Real-Time Car Detection and Distance Measurement 8. Using OpenGL for the High-Speed Filtering of Images 9. Assessments 10. Other Books You May Enjoy

Chapter 5, Optical Character Recognition

  1. How is it possible to recognize characters in non-English languages with Tesseract?

Specify the corresponding language name when initializing the TessBaseAPI instance.

  1. When we used the EAST model to detect text areas, the detected areas are actually rotated rectangles, and we simply use their bounding rectangles instead. Is this always correct? If not, how can this approach be rectified?

It is correct, but this is not the best approach. We can copy the region in the bounding boxes of the rotated rectangles to new images, and then rotate and crop them to transform the rotated rectangles into regular rectangles. After that, we will generally get better outputs by sending the resulting regular rectangles to Tesseract in order to extract the text.

  1. Try to figure out a way to allow users to adjust the selected region after dragging the mouse...
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