International Journal of Innovative Research in Computer Science and Technology
Year: 2020, Volume: 8, Issue: 4
First page : ( 337) Last page : ( 340)
Online ISSN : 2350-0557.
DOI: 10.21276/ijircst.2020.8.4.16 |
DOI URL: https://doi.org/10.21276/ijircst.2020.8.4.16
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)
Article Tools: Print the Abstract | Indexing metadata | How to cite item | Email this article | Post a Comment
Pranit Patil , Bhupinder Kaur
Handwritten digit recognition is a technique or technology for automatically recognizing and detecting handwritten digital data through different Machine Learning models. In this paper we use various Machine Learning algorithms to enhance the productiveness of technique and reduce the complexity using various models. Machine Learning is an application of Artificial Intelligence that learns from previous experience and improves automatically through experience. We illustrate various Machine learning algorithms such as Support Vector Machine, Convolutional Neural Network, Quantum Computing, K-Nearest Neighbor Algorithm, Deep Learning used in Recognition technique.
Student, B.Tech, Department of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, India (email: pranitp2222@gmail.com)
No. of Downloads: 67 | No. of Views: 2154
Mohd Tanveer, Mohd Azat, Inayat Husain, Sakil Ahmad, Mohammad Aalam Khan.
May 2025 - Vol 13, Issue 3
Maruti Maurya, Mohd Zaheer, Nawab Mohammad, Sadaf siddiqui, Mohd Zeeshan Khan, Mohd Ayan Akram.
May 2025 - Vol 13, Issue 3
MD Shahid Ali, Saif Ali , Abdullah Parwez, Abu Sufiyan, Mohd Haroon.
May 2025 - Vol 13, Issue 3