title: Digit Recognition with Bayesian classes
body: <p>I need to write an OCR program for digits only. I will use MNIST datasets. The problem is I do not know where to start. There are a lot of papers which doesn't really explain the algorithm. I don't really have much knowledge about pattern recognition. So I have a few questions.</p>
  
  <p>Q1 : Where can I find the algorithm (or a tutorial)
  Q2 : How do I classify digits? I don't need very advanced things. First thing that comes to my mind is finding the ratio of upper half/lower half and left side/ right side. Is there more useful and easy classification methods.
  Q3 : What is back propagation and the layers which is shown in most of the papers. Do I need them for my simple OCR.</p>
  
  <p>Note: I know my OCR program won't be accurate. It isn't very important for now.</p>