The prevalent scene text detection approach follows four sequential steps comprising character candidate detection, false character candidate removal, text line extraction, and text line verification.

When you're done, you can export as text or HTML. It may not be your go-to flow chart app for most things, but it is actually a usable tool—especially when you can't work with images—and it's ...

Files. char_recognition.ipynb: ipython notebook environment for training and testing neural networks for classifying ascii characters.; detection_utils.py: This file houses functions for reading and ...

Scene text detection in videos has many application needs but has drawn less attention than that in images. Existing methods for video text detection perform unsatisfactorily because of the ...