Good night 🙂
I am currently playing with the DevIL library that allows me to load in image and check RGB values per pixel. Just as a personal learning project, I’m trying to write a very basic OCR system for a couple of images I made myself in Photoshop.
I am successfully able to remove all the distortions in the image and I’m left with text and numbers. I am currently not looking for an advanced neural network that learns from input. I want to start out relatively easy and so I’ve set out to identify the individual characters and count the pixels in those characters.
I have two problems:
- Identifying the individual characters.
- Most importantly: I need an algorithm to count connected pixels (of the same color) without counting pixels I’ve previously counted. I have no mathemathical background so this is the biggest issue for me.
Any help in the matter is appreciated, thanks.
edit:
I have tagged this question as C++ because that is what I am currently using. However, pseudo-code or easily readable code from another language is also fine.
The flood fill algorithm will work for counting the included pixels, as long as you have the images filtered down to simple black & white bitmaps.
Having said that, you can perform character recognition by comparing each character to a set of standard images of each character in your set, measuring the similarity, and then choosing the character with the highest score.
Take a look at this question for more information.