Handwritten Digit Recognition Using Machine Learning

Technology is getting more and involved in our lives, so are algorithms. These algorithms speed up work reduce workload. Especially machine learning improving day by imitating human behaviours. Handwriting recognition systems also stand out on this field. In study, handwriting digit process has been done with having different working methods. Support Vector Machine (SVM), Decision Tree, Random Forest, Artificial Neural Networks (ANN), K-Nearest Neighbor (KNN) K- Means Algorithm. The logic of the was examined, efficiency same database measured. A report presented making comparisons accuracy.