RECOGNIZING HANDWRITTEN MATHEMATICAL EXPRESSIONS

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. Humans are accustomed to writing mathematical expressions containing integrals, fractions, exponents or indices by hand. Entering each such expression into a computer is uncomfortable and tedious. 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 Network Modelling for identification of offline handwritten expressions.

[1]  Subhadip Basu,et al.  Design of an Optical Character Recognition System for Camera-based Handheld Devices , 2011, ArXiv.

[2]  Luca Maria Gambardella,et al.  Convolutional Neural Network Committees for Handwritten Character Classification , 2011, 2011 International Conference on Document Analysis and Recognition.

[3]  Harold Mouchère,et al.  Towards Handwritten Mathematical Expression Recognition , 2009, 2009 10th International Conference on Document Analysis and Recognition.

[4]  Zijiang Yang,et al.  Investigating The Influential Factors On Firefighter Injuries Using Statistical Machine Learning , 2018, 2018 International Conference on Machine Learning and Cybernetics (ICMLC).

[5]  Minoru Okada,et al.  A fundamental study of output translation from layout recognition and semantic understanding system for mathematical formulae , 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).

[6]  Belaid Bouikhalene,et al.  Handwritten Mathematical Expressions Recognition , 2016 .

[7]  Nei Kato,et al.  A Handwritten Character Recognition System Using Directional Element Feature and Asymmetric Mahalanobis Distance , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Shiliang Zhang,et al.  Watch, attend and parse: An end-to-end neural network based approach to handwritten mathematical expression recognition , 2017, Pattern Recognit..

[9]  S. Himavathi,et al.  Neural Network Based Recognition System Integrating Feature Extraction and Classification for English Handwritten , 2012 .

[10]  George Labahn,et al.  A Bayesian model for recognizing handwritten mathematical expressions , 2015, Pattern Recognit..

[11]  Joan-Andreu Sánchez,et al.  Offline Features for Classifying Handwritten Math Symbols with Recurrent Neural Networks , 2014, 2014 22nd International Conference on Pattern Recognition.

[12]  Hans-Jürgen Winkler,et al.  HMM-based handwritten symbol recognition using on-line and off-line features , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

[13]  Er. Neetu Bhatia.  Optical Character Recognition Techniques: A Review , 2014 .