Authors :
Dr. S. Venkata Ramana; T. Sai Ram Charan; S. Shanmukha Pavan; R. Czar Raju; T. Dileep Kumar
Volume/Issue :
Volume 9 - 2024, Issue 4 - April
Google Scholar :
https://tinyurl.com/mry6ysms
Scribd :
https://tinyurl.com/4ychwunc
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24APR1534
Abstract :
This project introduces a novel Handwritten
Calculator that merges traditional handwritten
calculations with modern computing techniques. By
leveraging computer vision, machine learning, and
human-computer interaction, the calculator interprets
handwritten digits and operators to perform
mathematical calculations. Through contour detection and
Convolutional Neural Network (CNN) model prediction,
the calculator offers users a seamless and intuitive way to
compute. The project explores the development,
applications, and impact of this innovative technology,
with potential implications for education, accessibility,
and software engineering. The Handwritten Calculator
represents a significant advancement in computational
methods, bridging the gap between analog and digital
approaches to calculation.
Keywords :
Contour Detection, CNN, Image Processing etc.
This project introduces a novel Handwritten
Calculator that merges traditional handwritten
calculations with modern computing techniques. By
leveraging computer vision, machine learning, and
human-computer interaction, the calculator interprets
handwritten digits and operators to perform
mathematical calculations. Through contour detection and
Convolutional Neural Network (CNN) model prediction,
the calculator offers users a seamless and intuitive way to
compute. The project explores the development,
applications, and impact of this innovative technology,
with potential implications for education, accessibility,
and software engineering. The Handwritten Calculator
represents a significant advancement in computational
methods, bridging the gap between analog and digital
approaches to calculation.
Keywords :
Contour Detection, CNN, Image Processing etc.
