Handwritten math symbols/digits recognition for educational syllabus
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Date
2020
Authors
Journal Title
Journal ISSN
Volume Title
Type
Other
Publisher
October University for Modern Sciences and Arts
Series Info
Computer sciences distinguished projects 2020;
Doi
Scientific Journal Rankings
Abstract
live in the age of technologies. People are becoming in more
need for consuming their time and in need for more helping
software. The scope of this paper is recognizing mathematical
symbols and digits and introduces a guideline for future ap-
plications that addresses solving mathematical based problems.
This paper introduces a project that is a platform for imple-
menting some mathematical applications that will have many
advantages in the education process. Students are o ered solu-
tions to their mathematical problems with an easy way of cap-
turing the handwritten problem, also teachers will nd it useful
by checking their students' answers faster. And if other features
is added to those application as conversing methods of interact-
ing process, Some applications of those kind will help also little
kids learn numbers and some simple mathematical operations
as addition and multiplication with fun and joy of the speaking
feature of the application. This project is proposing two system
architectures. The rst one is a complete implemented Keras
system and the second is Tensor
ow architecture training sys-
tem. Methodology is CNN. Dataset used contain handwritten
digits and mathematical symbols.
Description
Computer sciences distinguished graduation projects 2020
Keywords
October University for Modern Sciences and Arts, University of Modern Sciences and Arts, MSA University, جامعة أكتوبر للعلوم الحديثة والآداب, Educational syllabus, Handwritten math symbols
Citation
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