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 document we are planning to identify. We have learned about 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 into 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 even be no text at all! We'll also learn how to use the OpenCV 3.0 text contribution module, which is fully integrated...
