Open AccessRECOGNIZING HANDWRITTEN MATHEMATICAL EXPRESSIONS
Author(s) -
Pallavi Ratra,
Harsh Khanna
Publication year - 2019
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2019.v04i03.035
Subject(s) - computer science , natural language processing , artificial intelligence , speech recognition
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.