*Mobile assisted mathematical equation solver using handwritten character recognition / Mohd Amir Ashraaf Amran.*[Student Project] (Unpublished)

## Abstract

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.

## Metadata

Item Type: | Student Project |
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Creators: | Creators Email / ID Num. Amran, Mohd Amir Ashraaf UNSPECIFIED |

Subjects: | Q Science > QA Mathematics > Equations Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Programming. Rule-based programming. Backtrack programming Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Computer software > Application software Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > System design |

Divisions: | Universiti Teknologi MARA, Melaka > Jasin Campus > Faculty of Computer and Mathematical Sciences |

Keywords: | Handwritten Character Recognition (HCR); Mobile application; Mathematics |

Date: | 2017 |

URI: | https://ir.uitm.edu.my/id/eprint/21365 |

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