SVM, KNN, and Neural Networks Investigated for Machine Learning in Written Word Decoding

The capacity of a device to recognise and understand legible handwriting input from a variety of origins, including written material, snap shots, displays, and other electronics, is known as handwritten reputation. In this study, we investigate three classification algorithms: Support Vector Machines (SVM), K-Nearest_Neighbours (KNN), and Neural Networks for handwritten character recognition, and we will identify the best one among these three.