Today, transactions are still carried out with people in the transfer of documents and information, and as a result of these transactions, less favorable situations in terms of cost, time and resources are obtained. In the project, with the algorithm developed over the data sets, the possible writing forms of the numbers will be taught to the machine and it will be ensured that machine can distinguish the handwritten digit combinations they will encounter. With the presented machine learning project, it is aimed to define numbers in handwritten documents. In this way, it will reduce the need for human labor. In this way, it is aimed to accelerate document processing and to increase user satisfaction.
M. Fatih Cambek
Pinar Kirci
Department of Computer Engineering, Faculty of Engineering, Istanbul University-Cerrahpasa, Istanbul
Department of Computer Engineering, Faculty of Engineering, Bursa Uludag University, Bursa
Turkey
e-mail: pinarkirci@uludag.edu.tr
Abstract:
Key words:
Handwriting
numbers
python
Section: