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Image based Handwritten Equation Solver

Published on July 2016 by Ayushi Tewari, Sweta Malik, Uzma Nikhat, Amit Kumar Gautam
journal_cover_thumbnail

Recent Trends in Future Prospective in Engineering and Management Technology
Foundation of Computer Science USA
RTFEM2016 - Number 1
July 2016
Authors: Ayushi Tewari, Sweta Malik, Uzma Nikhat, Amit Kumar Gautam
438cebbc-275c-476d-af45-69293a04848b

Ayushi Tewari, Sweta Malik, Uzma Nikhat, Amit Kumar Gautam . Image based Handwritten Equation Solver. Recent Trends in Future Prospective in Engineering and Management Technology. RTFEM2016, 1 (July 2016), 21-23.

@article{
author = { Ayushi Tewari, Sweta Malik, Uzma Nikhat, Amit Kumar Gautam },
title = { Image based Handwritten Equation Solver },
journal = { Recent Trends in Future Prospective in Engineering and Management Technology },
issue_date = { July 2016 },
volume = { RTFEM2016 },
number = { 1 },
month = { July },
year = { 2016 },
issn = 0975-8887,
pages = { 21-23 },
numpages = 3,
url = { /proceedings/rtfem2016/number1/25482-5113/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Recent Trends in Future Prospective in Engineering and Management Technology
%A Ayushi Tewari
%A Sweta Malik
%A Uzma Nikhat
%A Amit Kumar Gautam
%T Image based Handwritten Equation Solver
%J Recent Trends in Future Prospective in Engineering and Management Technology
%@ 0975-8887
%V RTFEM2016
%N 1
%P 21-23
%D 2016
%I International Journal of Computer Applications
Abstract

In this paper we depict an Android application that captures image of simultaneous handwritten mathematical expressions using a built-in camera and displays the result. The application is capable of solving simple arithmetic expressions.

References
  1. Optical Recognition of Handwritten Digit Data Set. Machine Learning Repository, University of California at Irvine. Available:http://archive. ics. uci. edu/ml/datasets/Optical+Recognition+of+Handwritten+Digits
  2. Sam Tsai, Huizhong Chen, David Chen, Ramakrishna Vedantham, RadekGrzeszczuk, and Bernd Girod, "Mobile Visual Search Using Image andText Features", Proc. 45th Annual Asilomar Conference on Signals,Systems and Computers, November 2011.
  3. Derek Ma, Qiuhau Lin, Tong Zhang, Mobile Camera Based Text Detection and Translation
  4. M. Sezgin and B. Sankur (2004). "Survey over image thresholding techniques and quantitative performance evaluation". Journal of Electronic Imaging.
  5. LIBSVM, A Library for Support Vector Machines. Chih-Chung Changand Chih-Jen Lin, Computer Science Department, National Taiwan University.
  6. C. -C. Chang and C. -J. Lin. Training ?-support vector classifiers: Theory and algorithms. Neural Computation, 13(9):2119–2147, 2001.
  7. C. -W. Hsu and C. -J. Lin. A simple decomposition method for support vector machines. Machine Learning, 46:291–314, 2002b.
Index Terms

Computer Science
Information Sciences

Keywords

Ocr Android Digit Recognition Operator Recognition.