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Recognition of On-line Handwritten Mathematical Expressions Using a Minimum Spanning Tree Construction and Symbol Dominance [chapter]

Ernesto Tapia, Raúl Rojas
2004 Lecture Notes in Computer Science  
We present a structural analysis method for the recognition of on-line handwritten mathematical expressions based on a minimum spanning tree construction and symbol dominance.  ...  The method handles some layout irregularities frequently found in on-line handwritten formula recognition systems, like symbol overlapping and association of arguments of sum-like operators.  ...  We follow a two-step approach to recognize on-line handwritten mathematical expressions [5, 1, 2] .  ... 
doi:10.1007/978-3-540-25977-0_30 fatcat:j3onzhvdbndxpfevtynoevwkvm

On-line Recognition of Handwritten Mathematical Symbols [article]

Martin Thoma
2015 pre-print
Finding the name of an unknown symbol is often hard, but writing the symbol is easy. This bachelor's thesis presents multiple systems that use the pen trajectory to classify handwritten symbols.  ...  Five preprocessing steps, one data augmentation algorithm, five features and five variants for multilayer Perceptron training were evaluated using 166898 recordings which were collected with two crowdsourcing  ...  However, this idea seems not to work well in the domain of on-line handwritten mathematical symbols.  ... 
doi:10.5445/ir/1000048047 arXiv:1511.09030v1 fatcat:26giu6o5g5fufc6fm3mqtlgtli

HANDWRITTEN MATHEMATICAL EXPRESSION RECOGNITION AND GRADING SYSTEM

Pratik U Patil, Zaid Z, Kajol N Khot, Sikandar N, Seema G
2021 International Journal of Engineering Applied Sciences and Technology  
A lot of researchers have already worked on Handwritten Mathematical Expression recognition and have used various classifiers.  ...  Handwritten Mathematical Expression recognition and grading system is a challenging task in the field of pattern recognition.  ...  Recognition and Grading System, Convolutional Neural Network, Handwritten Mathematical Symbols, Handwritten Mathematical Equation Recognition I.  ... 
doi:10.33564/ijeast.2021.v06i03.050 fatcat:2cgnr6fydvgxdde26icz5ituz4

Handwritten Mathematical Expressions Recognition

Yassine Chajri, Belaid Bouikhalene
2013 International Journal of Signal Processing, Image Processing and Pattern Recognition  
This paper also describes all the details concerning the necessary steps of our approach for handwritten mathematical expressions recognition.  ...  In this paper, we will present a dataset of handwritten mathematical expressions outcome of several mathematical disciplines (logic, analysis, algebra and probability).  ...  Table 5 . 5 Recognition Rate of Handwritten Mathematical Symbols Figure 6.  ... 
doi:10.14257/ijsip.2016.9.5.07 fatcat:n6zz2f72j5f7leo5f5rlrkzmp4

Recognition of Handwritten Mathematical Tex

Yassine Chajri, Belaid Bouikhalene
2016 International Journal of Future Generation Communication and Networking  
In this paper the focus will be on the handwritten mathematical text recognition and we are going to present all the necessary steps in our system (preprocessing, text lines segmentation, mathematical  ...  symbols segmentation and symbols recognition).  ...  We presented also a new approach for handwritten mathematical symbols recognition based on a hybrid algorithm (shape and texture).  ... 
doi:10.14257/ijfgcn.2016.9.8.30 fatcat:agvxdey3unhkdlukdp24mbd4by

Database of handwritten Arabic mathematical formulas images [article]

Ibtissem Hadj Ali, Mohammed Ali Mahjoub
2016 arXiv   pre-print
Currently, the dataset contains 4 238 off-line handwritten mathematical expressions written by 66 writers and 20 300 handwritten isolated symbol images.  ...  In this paper, we present a new public database that contains mathematical expressions available in their off-line handwritten form.  ...  progress of this domain like the dataset HAMEX [4] which represent a public dataset that contains mathematical expressions available in their on-line handwritten form and in their audio spoken form,  ... 
arXiv:1608.02388v1 fatcat:siujs7wbd5gddar25j3wknd5ru

A Survey on Evaluating Handwritten Iterative Mathematical Expressions

Tina Vaz
2018 International Journal for Research in Applied Science and Engineering Technology  
Handwritten Mathematical Expression Recognition have become one of the most challenging, fascinating and growing research area in the field of Pattern Recognition.  ...  This paper focuses on the work carried out by several researchers in the task of recognizing Handwritten Mathematical Expressions.  ...  Our research focuses on analyzing different approaches used towards offline handwritten mathematical symbol and expression recognition. II.  ... 
doi:10.22214/ijraset.2018.4652 fatcat:3hhisdmeg5hqnhshpnlgs7pb5u

Handwritten Mathematical Expressions Recognition using Back Propagation Artificial Neural Network

Sagar Shinde, Rajendra Waghulade
2016 Communications on Applied Electronics  
Keywords Character recognition, Math symbol recognition, Handwritten math equations, Feed forward back propagation neural network.  ...  Handwritten mathematical expressions recognition is yet challenging task due to its intricate spatial structure, tangled semantics and 2-dimensional layout of the characters.  ...  Handwritten math symbols and expressions recognition is one of the most challenging areas.  ... 
doi:10.5120/cae2016652125 fatcat:phjlg4gqjbb2fcokdeirndlhci

Recognition of on-line handwritten mathematical expressions using 2D stochastic context-free grammars and hidden Markov models

Francisco Álvaro, Joan-Andreu Sánchez, José-Miguel Benedí
2014 Pattern Recognition Letters  
This paper describes a formal model for the recognition of on-line handwritten mathematical expressions using 2D stochastic context-free grammars and hidden Markov models.  ...  In this way, first, the model is able to capture many of variability phenomena that appear in on-line handwritten mathematical expressions during the training process.  ...  Recognition systems for mathematical expressions depend on the application [6] : on-line recognition systems for handwritten mathematical expressions, and off-line recognition systems for handwritten  ... 
doi:10.1016/j.patrec.2012.09.023 fatcat:vhgq4zs5yrclnekdgnerbe5l4e

Online recognition of handwritten mathematical expressions with support for matrices

Chuanjun Li, Robert Zeleznik, Timothy Miller, Joseph J. LaViola
2008 Pattern Recognition (ICPR), Proceedings of the International Conference on  
Automatic segmentation and recognition of multiple expressions are supported based on a spacing algorithm that leverages recognized symbol identities, sizes, and relative locations of individual symbols  ...  We present an online system for recognizing handwritten mathematical matrices in the context of an interactive computational tool called MathPaper.  ...  Recently, research has been done on recognition of simple handwritten mathematical matrices [7, 8, 9, 11, 12] as well as scanned typeset matrices [10] .  ... 
doi:10.1109/icpr.2008.4761825 dblp:conf/icpr/LiZML08 fatcat:u7bpk57d4rhkzhodovyss4v6dm

Offline handwritten mathematical symbol recognition utilising deep learning [article]

Azadeh Nazemi, Niloofar Tavakolian, Donal Fitzpatrick, Chandrik a Fernando, Ching Y. Suen
2019 arXiv   pre-print
This paper describes an approach for offline recognition of handwritten mathematical symbols.  ...  Besides, many mathematical symbols are structurally similar, specifically in handwritten such as 0 and null. There are more than 300 Mathematical symbols.  ...  INTRODUCTION M ANYresearchers have worked on Handwritten Mathematical Expression (HME) recognition for many years such as Anderson's effort in the '60s [1] [2] Generally, handwritten recognition based  ... 
arXiv:1910.07395v1 fatcat:ld6i4awluvextoyjdqzfhtgfva

Recognition of on-line handwritten mathematical expressions in the E-Chalk system - an extension

E. Tapia, R. Rojas
2005 Eighth International Conference on Document Analysis and Recognition (ICDAR'05)  
This article introduces the new version of our system for the recognition of on-line handwritten mathematical expressions.  ...  The recognition results are stored in a composite of symbols, which are used by computer algebra systems for algebraic computations, and function plotting.  ...  When introducing a new class of symbols, one has only to Comments and further work In this article we introduced a new version of our recognition system for on-line handwritten mathematical expressions  ... 
doi:10.1109/icdar.2005.197 dblp:conf/icdar/TapiaR05 fatcat:gwskw65mv5c4ddyxh4nfif75gq

HAMEX - A Handwritten and Audio Dataset of Mathematical Expressions

Solen Quiniou, Harold Mouchere, Sebasti´n Pen Saldarriaga, Christian Viard-Gaudin, Emmanuel Morin, Simon Petitrenaud, Sofiane Medjkoune
2011 2011 International Conference on Document Analysis and Recognition  
In this paper, we present HAMEX, a new public dataset that contains mathematical expressions available in their on-line handwritten form and in their audio spoken form.  ...  Currently, the dataset contains 4 350 on-line handwritten mathematical expressions written by 58 writers, and the corresponding audio expressions (in French) spoken by 58 speakers.  ...  To collect the on-line handwritten mathematical expressions, a digital pen and paper solution is used.  ... 
doi:10.1109/icdar.2011.97 dblp:conf/icdar/QuiniouMSVMPM11 fatcat:jgstlhb6mve6hpzacfk2octkfa

Recognizing Offline Handwritten Mathematical Expressions (ME) based on a Predictive Approach of Segmentation using K-NN Classification

Sachin Naik, Pravin Metkewar
2015 International Journal of Technology  
Recognition of handwritten mathematical expressions has been an important topic for many researchers for decades. It remains one of the most challenging and exciting areas in pattern recognition.  ...  In the recognition process of offline handwritten mathematical expressions, segmentation is the most important process.  ...  In this area, the offline features can be adopted for online recognition of handwritten mathematical symbol recognition (Davila et al., 2014) .  ... 
doi:10.14716/ijtech.v6i3.1069 fatcat:lonq6ba6xbc3datn77zva5kv3u

RECOGNIZING HANDWRITTEN MATHEMATICAL EXPRESSIONS

Pallavi Ratra ., Harsh Khanna .
2019 International Journal of Engineering Applied Sciences and Technology  
Inspired by recent success in Neural Network Modelling, we discuss a proposed model that gives high accuracy in recognizing mathematical symbols and digits in different mathematical expressions using Neural  ...  This paper surveys the techniques to recognise handwritten mathematical characters in different expressions and to see the availability of systems that eventually understand and solve them.  ...  In general, handwriting recognition can be classified into two major categories, namely off-line and on-line handwriting recognition methods.  ... 
doi:10.33564/ijeast.2019.v04i03.035 fatcat:m3v7nzjhmvcsljlip5j4kdy34y
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