This paper is published in Volume-6, Issue-3, 2020
Area
Computer Science and Systems Engineering
Author
Vanamoju Vandana, Yedlapalli Divya Manasa, Gedela Gayathri, Komakula Sai Lakshmi Priyanka, M. Sion Kumari
Org/Univ
Andhra University College of Engineering for Women, Visakhapatnam, Andhra Pradesh, India
Pub. Date
26 May, 2020
Paper ID
V6I3-1320
Publisher
Keywords
Neural networks, Random forest classifier, Support vector machine (SVM), K-nearest neighbour ( NN), Classification.

Citationsacebook

IEEE
Vanamoju Vandana, Yedlapalli Divya Manasa, Gedela Gayathri, Komakula Sai Lakshmi Priyanka, M. Sion Kumari. A machine learning approach for handwritten recognition, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Vanamoju Vandana, Yedlapalli Divya Manasa, Gedela Gayathri, Komakula Sai Lakshmi Priyanka, M. Sion Kumari (2020). A machine learning approach for handwritten recognition. International Journal of Advance Research, Ideas and Innovations in Technology, 6(3) www.IJARIIT.com.

MLA
Vanamoju Vandana, Yedlapalli Divya Manasa, Gedela Gayathri, Komakula Sai Lakshmi Priyanka, M. Sion Kumari. "A machine learning approach for handwritten recognition." International Journal of Advance Research, Ideas and Innovations in Technology 6.3 (2020). www.IJARIIT.com.

Abstract

Handwritten recognition is the ability of the system to receive and interpret the input taken from various sources like paper documents, touch screen devices, photographs, etc. In this paper, we will be designing a handwritten recognition expert system using different classification algorithms to recognize the handwritten characters like Support Vector Machine(SVM), K-Nearest Neighbour(KNN), Random Forest Classifier and Neural Networks. This application is useful for recognizing all characters and digits given as in the input image. The main objective of the project is to increase the accuracy of the recognition characters through various algorithms and choose the best algorithm for recognizing characters or digits.
Paper PDF