0

I've been working on a simple OCR project for a couple days. The app is supposed to extract a text from an image. The solution I've come up with is: greyscaling, rotating, removing noise from the image and isolating every single character on the image. So I need some help with a simple algorithm that would let me recognise the character. I only need to recognise the letters A,B,C,D.

  • What sorts of ideas do you have about making the algorithm? Have you written anything to implement it so far? – APerson Jul 01 '15 at 18:33
  • see [OCR and character similarity](http://stackoverflow.com/a/22879053/2521214) `Pixel approach` is a simple deterministic approach I develop for a commercial project few years back. It does not use neural networks so it is free of their issues ... which makes it ideal for a rookie to start with – Spektre Jul 02 '15 at 05:36

1 Answers1

0

The method i'd use would be to make a mask of each letter, scaling it to the rectangle you found when cutting the picture and "score" each letter, by comparing RGB for example.

Pâris Douady
  • 833
  • 8
  • 18