  In pattern recognition, digit recognition has always been a very challenging
task. This paper aims to extracting a correct feature so that it can achieve
better accuracy for recognition of digits. The applications of digit
recognition such as in password, bank check process, etc. to recognize the
valid user identification. Earlier, several researchers have used various
different machine learning algorithms in pattern recognition i.e. KNN, SVM,
RFC. The main objective of this work is to obtain highest accuracy 99.15% by
using convolution neural network (CNN) to recognize the digit without doing too
much pre-processing of dataset.
