(OCR ) How to Recognise Handwritten fractional numbers using Neural networks I want to be able to recognise handwritten math numbers using images of the numbers , i was able to do  create a ANN model for recognising simple decimal numbers , but i have no idea on how to recognise fractional number. 
What kind of ML model do i need to recognise fractional numbers (p/q forms). As i am relatively new to machine learning, i have no idea how to do it. Any study material will be appreciated.
Usually one of the steps is "segmentation", where we separate the image into smaller images, one for each character/symbol.  Thus the fraction "1/13" would have four character, "1", "/", "1", and "3".  Then, you apply a neural network separately to each of those four smaller images.

See https://en.wikipedia.org/wiki/Optical_character_recognition for an introduction.  OCR is covered in many standard sources.  I suggest reading the literature on the subject to learn more about standard methods.