In this chapter, we saw that scene text recognition is a far more difficult OCR situation than working with scanned texts. We studied how the text module addresses this problem with extremal region identification using the Newmann and Matas algorithm. We also saw how to use this API with the floodfill function to extract the text to an image and submit it to Tesseract OCR. Finally, we studied how the OpenCV text module integrates with Tesseract and other OCR engines, and how we can use its classes to identify what's written in the image.
This ends our journey with OpenCV. From the beginning to the end of this book, we expected you to have a glance about the Computer Vision area and have a better understanding of how several applications work. We also sought to show you that, although OpenCV is quite an impressive library, the field is already full of opportunities for improvement and research.
Thank you for reading! No matter whether you use OpenCV for creating impressive commercial...