Student Name: H Mistry
About the student
My name is Himal Mistry, and I am passionate about computer science. I am honest and hardworking, and I like working on challenges in computer science. I am currently exploring machine learning and as such, have created the project below.
About the Project
Optical Character Recognition (OCR) is a significant technological advancement that utilises advanced algorithms to convert printed or handwritten text into content that machines can interpret. In the present study, a variety of techniques, including neural networks (NN), k-nearest neighbours (KNN), and convolutional neural networks (CNN), are employed to forecast outcomes in numerical character recognition. The K-nearest neighbours' algorithm, in contrast, utilises the Euclidean distance metric to categorise characters by their resemblance to the training samples. Convolutional neural networks have exceptional proficiency in the domain of image processing and feature extraction, rendering them highly proficient in the task of character recognition within intricate visual environments. My assignment involves conducting a comparative analysis of different algorithms to determine which one performs better on a certain test sample. The subsequent objective is to demonstrate the superiority of one algorithm over another by employing distinct characters.
