Investigation of classification accuracy in online handwritten patterns using Machine Learning

Abstract

In this paper, the authors aim to correct strokes for input of handwriting diagrams. In order to achieve this correction, they propose a method which is in real-time using machine learning. In addition, they aim at the precision improvement by using a classification prediction model with regression one concurrently. They also focus on real-time performance and evaluate the computation speed of different machine learning models.