title: few question about hand-writing recognition
body: <p>hi
  i'm studing machine learning, and i want to write a simple handwriting recognition software with python and opencv.</p>
  
  <p>for simplicity now i'm going to recognize only capital words of same size.
  i think a good way to recognize letters is use expectation-maximization algorithm for learning parameters of a gaussian mixture model, use a training set and compare the new letters gaussian-mixture with the trained ones. but i don't understand how to select how many gaussian in the mixture.</p>
  
  <p>the second problem is how to understand how many words are in a page and how many letters there are in a word. i don't think that em-algorithm or similar (k-means for example) could be the solution but there are some segmentation issues for sure</p>
  
  <p>some advice?</p>