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 in 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 can we use its classes to identify what's written in an image.
In the next chapter, you will be introduced to deep learning in OpenCV. You will learn about object detection and classification by using the you only look once (YOLO) algorithm.
