Mobile assisted mathematical equation solver using handwritten character recognition / Mohd Amir Ashraaf Amran

Nowadays, learning Mathematics courses can be very easy and interesting because of technological advances. The traditional ways in solving Mathematical equation have been enhanced from the first invention of abacus then replaced by standard calculator and scientific calculator. Since the beginning o...

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Main Author:	Amran, Mohd Amir Ashraaf
Format:	Student Project
Language:	English
Published:	Faculty of Computer and Mathematical Sciences 2017
Subjects:	Equations Programming. Rule-based programming. Backtrack programming Application software System design
Online Access:	http://ir.uitm.edu.my/id/eprint/21365/ http://ir.uitm.edu.my/id/eprint/21365/1/TD_MOHD%20AMIR%20ASHRAAF%20AMRAN%20M%20CS%2017_5.pdf

id	uitm-21365
recordtype	eprints
spelling	uitm-213652018-10-25T01:50:17Z http://ir.uitm.edu.my/id/eprint/21365/ Mobile assisted mathematical equation solver using handwritten character recognition / Mohd Amir Ashraaf Amran Amran, Mohd Amir Ashraaf Equations Programming. Rule-based programming. Backtrack programming Application software System design Nowadays, learning Mathematics courses can be very easy and interesting because of technological advances. The traditional ways in solving Mathematical equation have been enhanced from the first invention of abacus then replaced by standard calculator and scientific calculator. Since the beginning of smartphones eras, the technology of scientific calculator has been adapted into smartphones and become as mobile application. Based on the observation, there are several existing applications that used character recognition as scientific calculator. However, most of current applications were lack of effectiveness such as only able to solve simple calculation, difficult to recognize the handwriting document and poor quality of digital document. To overcome the problem, Handwritten Character Recognition (HCR) was used in this project which to enhanced the ability to recognize the handwritten document. The project will be development in native mobile application platform. An Agile methodology has been implied in this application development to ensure all the functionalities meet with the requirement. As the result, this application was under functionality testing to ensure all functionalities are working as required and the output are follow with the requirement. The hopes of this project is to able assist the users especially student to improve solving Mathematical problem in more accurate and faster. For the future work, the proposed application will enlarge the scopes of various kind of Mathematical problem and solutions techniques in order to produces more efficient and effective output. Faculty of Computer and Mathematical Sciences 2017 Student Project NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/21365/1/TD_MOHD%20AMIR%20ASHRAAF%20AMRAN%20M%20CS%2017_5.pdf Amran, Mohd Amir Ashraaf (2017) Mobile assisted mathematical equation solver using handwritten character recognition / Mohd Amir Ashraaf Amran. [Student Project] (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Equations Programming. Rule-based programming. Backtrack programming Application software System design
spellingShingle	Equations Programming. Rule-based programming. Backtrack programming Application software System design Amran, Mohd Amir Ashraaf Mobile assisted mathematical equation solver using handwritten character recognition / Mohd Amir Ashraaf Amran
description	Nowadays, learning Mathematics courses can be very easy and interesting because of technological advances. The traditional ways in solving Mathematical equation have been enhanced from the first invention of abacus then replaced by standard calculator and scientific calculator. Since the beginning of smartphones eras, the technology of scientific calculator has been adapted into smartphones and become as mobile application. Based on the observation, there are several existing applications that used character recognition as scientific calculator. However, most of current applications were lack of effectiveness such as only able to solve simple calculation, difficult to recognize the handwriting document and poor quality of digital document. To overcome the problem, Handwritten Character Recognition (HCR) was used in this project which to enhanced the ability to recognize the handwritten document. The project will be development in native mobile application platform. An Agile methodology has been implied in this application development to ensure all the functionalities meet with the requirement. As the result, this application was under functionality testing to ensure all functionalities are working as required and the output are follow with the requirement. The hopes of this project is to able assist the users especially student to improve solving Mathematical problem in more accurate and faster. For the future work, the proposed application will enlarge the scopes of various kind of Mathematical problem and solutions techniques in order to produces more efficient and effective output.
format	Student Project
author	Amran, Mohd Amir Ashraaf
author_facet	Amran, Mohd Amir Ashraaf
author_sort	Amran, Mohd Amir Ashraaf
title	Mobile assisted mathematical equation solver using handwritten character recognition / Mohd Amir Ashraaf Amran
title_short	Mobile assisted mathematical equation solver using handwritten character recognition / Mohd Amir Ashraaf Amran
title_full	Mobile assisted mathematical equation solver using handwritten character recognition / Mohd Amir Ashraaf Amran
title_fullStr	Mobile assisted mathematical equation solver using handwritten character recognition / Mohd Amir Ashraaf Amran
title_full_unstemmed	Mobile assisted mathematical equation solver using handwritten character recognition / Mohd Amir Ashraaf Amran
title_sort	mobile assisted mathematical equation solver using handwritten character recognition / mohd amir ashraaf amran
publisher	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	http://ir.uitm.edu.my/id/eprint/21365/ http://ir.uitm.edu.my/id/eprint/21365/1/TD_MOHD%20AMIR%20ASHRAAF%20AMRAN%20M%20CS%2017_5.pdf
first_indexed	2023-09-18T23:06:23Z
last_indexed	2023-09-18T23:06:23Z
_version_	1777418511323234304

Mobile assisted mathematical equation solver using handwritten character recognition / Mohd Amir Ashraaf Amran

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