Paper Key : IRJ************243
Author: Aparna K A,Ms. Chelsa C
Date Published: 17 Nov 2023
Abstract
Abstract The papers main objective is to identify handwritten writing. In the modern day, the fields of deep learning and machine learning are rapidly developing. Handwriting recognition is a practical illustration of how these technologies may be used in our everyday lives. This study examines 1 the performance of several machine learning algorithms used in handwriting recognition applications in order to evaluate their efficiency. One of the most difficult jobs for robots to do is dealing with pixel-based images since they are illegible and can come in a variety of shapes, sizes, and thicknesses.60,000 photos were utilized as training sets for pixel-based images 28 by 28. Both the practice and test handwriting images are from the MNIST database. As a result, a potential remedy for this is the Handwriting Digit Recognition Model.
DOI LINK : 10.56726/IRJMETS45609 https://www.doi.org/10.56726/IRJMETS45609