Year: 2025
Type: article
Abstract: Recently, the creation of numerous machine learning, deep learning and computer vision algorithms has rendered hand- written visual identification by researchers highly important. I compare the results of some of the most used algorithms such as SVM , KNN & RFC, and CNN. In this article. CNN using Theano and Tensorflow for Keras. With these, I was able to reach 99.6% precision with CNN (Keras+Theano), opposed to 98.00% with SVM, 98.22% with KNN, and 97.77% with RFC.
Author: Raghavendra M Y
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4410830231