  Over the past decade, machine learning methods have given us driverless cars,
voice recognition, effective web search, and a much better understanding of the
human genome. Machine learning is so common today that it is used dozens of
times a day, possibly unknowingly. Trying to teach a machine some processes or
some situations can make them predict some results that are difficult to
predict by the human brain. These methods also help us do some operations that
are often impossible or difficult to do with human activities in a short time.
For these reasons, machine learning is so important today. In this study, two
different machine learning methods were combined. In order to solve a
real-world problem, the manuscript documents were first transferred to the
computer and then classified. We used three basic methods to realize the whole
process. Handwriting or printed documents have been digitalized by a scanner or
digital camera. These documents have been processed with two different Optical
Character Recognition (OCR) operation. After that generated texts are
classified by using Naive Bayes algorithm. All project was programmed in
Microsoft Visual Studio 12 platform on Windows operating system. C# programming
language was used for all parts of the study. Also, some prepared codes and
DLLs were used.
