Decoding Digits: Advancements in hand written Digit Recognition with Machine Learning Algorithms
M. Lakshmi Prasad, Ch. Srinivasulu, G Yashaswini, K.M Rakshitha · 2023
One of the most challenging besides fascinating fields of image processing and pattern recognition has been the recognition of handwritten characters and numbers. This paper's primary goal is to illustrate and reflect the work that has been done in the area of hand-written digit recognition. areas of pattern recognition and image processing is a highly challenging task. It is difficult to extract features from and segment handwritten numerical script because the numbers in this identification challenge are not precisely written or scripted since they vary in size or shape. In the suggested work, segmentation is accomplished by the use of vertical and horizontal projections. Convex envelope technique is used for feature extraction, whereas SVM is employed in recognition and and classification.