Use of Machinesearching in a Handwrite Digit Recognition System
Abstract
— Handwritten digit recognition system based on machine learning proposed in this research paper is a model that can be used to identify and recognize digits written by a user on an editable canvas widget within a Graphical User Interface (GUI). Handwritten digit recognition is one of the most important issues that should be addressed in the field of machine learning and it plays a very vital role in learning about applications that implement pattern recognition as it is a very practical approach. There are many different handwritten digit recognition applications like cheque processing in banks, data entry in forms, sorting mails, etc. To meet the ever growing daily demands related to the IT industry, machine learning is one of the most impactful concepts to be emphasized upon. To understand machine learning more effectively and implement it in problem solving, we undertook this problem of building a handwritten digit recognition system using machine learning. This problem will allow us to learn machine learning techniques from the ground up and it also has various use cases that may prove to be beneficial for individuals or organizations. This research paper gives a detailed description about handwritten digit recognition systems, our approach for implementing one as well as compares the accuracy of various machine learning algorithms that can be used to implement such systems..
Keywords
Handwritten Digit Recognition, GUI, Machine Learning Algorithm, Handwritten Digit Recognition System.