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Reseach Article

Recognition of Offline Handwritten Mathematical Expressions

Published on April 2015 by Manisha Bharambe
National conference on Digital Image and Signal Processing
Foundation of Computer Science USA
DISP2015 - Number 2
April 2015
Authors: Manisha Bharambe
3301450d-284f-4c03-88dc-0fc0d0392ad4

Manisha Bharambe . Recognition of Offline Handwritten Mathematical Expressions. National conference on Digital Image and Signal Processing. DISP2015, 2 (April 2015), 35-39.

@article{
author = { Manisha Bharambe },
title = { Recognition of Offline Handwritten Mathematical Expressions },
journal = { National conference on Digital Image and Signal Processing },
issue_date = { April 2015 },
volume = { DISP2015 },
number = { 2 },
month = { April },
year = { 2015 },
issn = 0975-8887,
pages = { 35-39 },
numpages = 5,
url = { /proceedings/disp2015/number2/20488-3021/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National conference on Digital Image and Signal Processing
%A Manisha Bharambe
%T Recognition of Offline Handwritten Mathematical Expressions
%J National conference on Digital Image and Signal Processing
%@ 0975-8887
%V DISP2015
%N 2
%P 35-39
%D 2015
%I International Journal of Computer Applications
Abstract

Recognition of Handwritten Mathematical Expression (ME) is one of the most fascinating and challenging research area in the field of Image Processing and Pattern Recognition. The recognition of handwritten mathematical expression is difficult due to variability of the symbols in an expression and its two Dimensional structure. This paper deals with the recognition of handwritten logical mathematical expressions. The strength of the proposed approach is efficient preprocessing, feature extraction and segmentation methods .

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Index Terms

Computer Science
Information Sciences

Keywords

Pattern Recognition Handwritten Logical Mathematical Expression Preprocessing Feature Extraction Segmentation