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Reseach Article

Finding Best Fit for Hand-Drawn Curves using Polynomial Regression

by Bhaumik Choksi, Ajay Venkitaraman, Swati Mali
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 174 - Number 5
Year of Publication: 2017
Authors: Bhaumik Choksi, Ajay Venkitaraman, Swati Mali
10.5120/ijca2017915390

Bhaumik Choksi, Ajay Venkitaraman, Swati Mali . Finding Best Fit for Hand-Drawn Curves using Polynomial Regression. International Journal of Computer Applications. 174, 5 ( Sep 2017), 20-23. DOI=10.5120/ijca2017915390

@article{ 10.5120/ijca2017915390,
author = { Bhaumik Choksi, Ajay Venkitaraman, Swati Mali },
title = { Finding Best Fit for Hand-Drawn Curves using Polynomial Regression },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2017 },
volume = { 174 },
number = { 5 },
month = { Sep },
year = { 2017 },
issn = { 0975-8887 },
pages = { 20-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume174/number5/28403-2017915390/ },
doi = { 10.5120/ijca2017915390 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:21:21.021502+05:30
%A Bhaumik Choksi
%A Ajay Venkitaraman
%A Swati Mali
%T Finding Best Fit for Hand-Drawn Curves using Polynomial Regression
%J International Journal of Computer Applications
%@ 0975-8887
%V 174
%N 5
%P 20-23
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Curve fitting gives the user a mathematical function that best fits to a series of data points while considering the constraints of the data. This paper presents an algorithm to determine the equation of a hand-drawn curve using polynomial regression. The hand-drawn curve may be digitally drawn, or manually drawn on paper and scanned. Polynomial regression is used to estimate the order of the equation that fits the curve and determine the coefficients of the equation.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Polynomial Regression Regression Curve Fitting.