Spam image filtering algorithm / Muhammad Hazim Shahimi

Email has become the most important medium of transferring message on the internet. The email users are increasing over the years because it is easy to use and low cost. However, this situation has attracted spammer to advertise their product by sending spam messages to anyone who uses email. As a c...

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Bibliographic Details
Main Author:	Shahimi, Muhammad Hazim
Format:	Thesis
Language:	English
Published:	2015
Subjects:	Mathematical statistics Probabilities Algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/57789/1/57789.pdf
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id	my-uitm-ir.57789
record_format	uketd_dc
spelling	my-uitm-ir.577892022-07-27T08:00:11Z Spam image filtering algorithm / Muhammad Hazim Shahimi 2015-01 Shahimi, Muhammad Hazim Mathematical statistics. Probabilities Electronic Computers. Computer Science Algorithms Email has become the most important medium of transferring message on the internet. The email users are increasing over the years because it is easy to use and low cost. However, this situation has attracted spammer to advertise their product by sending spam messages to anyone who uses email. As a consequence, the number of spam email has increase unexpectedly. The spam has become a serious problem for the email users. They are flood with a lot of spam in their email. This project is done to help the internet user from being flood by the spam especially spam images. The algorithm in this project will help the existing current spam filtering to enhance the method in filtering spam images. This project applied Optical Character Recognition (OCR) and Bayesian probability to filter the spam images. The evaluation task is done by using formula of Precision, Recall, Error Rate, and Accuracy. Based on the result, the testing dataset has achieved 82% of accuracy. It has shown that the proposed algorithm is good in classifying the images. There are some improvements that can be suggested for future works such as use more data, apply the better OCR technique, use another image feature extraction, and use another classifier. 2015-01 Thesis https://ir.uitm.edu.my/id/eprint/57789/ https://ir.uitm.edu.my/id/eprint/57789/1/57789.pdf text en public degree Universiti Teknologi MARA, Perak Faculty of Computer and Mathematical Sciences Masrom, Suraya
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Masrom, Suraya
topic	Mathematical statistics Probabilities Mathematical statistics Probabilities Algorithms
spellingShingle	Mathematical statistics Probabilities Mathematical statistics Probabilities Algorithms Shahimi, Muhammad Hazim Spam image filtering algorithm / Muhammad Hazim Shahimi
description	Email has become the most important medium of transferring message on the internet. The email users are increasing over the years because it is easy to use and low cost. However, this situation has attracted spammer to advertise their product by sending spam messages to anyone who uses email. As a consequence, the number of spam email has increase unexpectedly. The spam has become a serious problem for the email users. They are flood with a lot of spam in their email. This project is done to help the internet user from being flood by the spam especially spam images. The algorithm in this project will help the existing current spam filtering to enhance the method in filtering spam images. This project applied Optical Character Recognition (OCR) and Bayesian probability to filter the spam images. The evaluation task is done by using formula of Precision, Recall, Error Rate, and Accuracy. Based on the result, the testing dataset has achieved 82% of accuracy. It has shown that the proposed algorithm is good in classifying the images. There are some improvements that can be suggested for future works such as use more data, apply the better OCR technique, use another image feature extraction, and use another classifier.
format	Thesis
qualification_level	Bachelor degree
author	Shahimi, Muhammad Hazim
author_facet	Shahimi, Muhammad Hazim
author_sort	Shahimi, Muhammad Hazim
title	Spam image filtering algorithm / Muhammad Hazim Shahimi
title_short	Spam image filtering algorithm / Muhammad Hazim Shahimi
title_full	Spam image filtering algorithm / Muhammad Hazim Shahimi
title_fullStr	Spam image filtering algorithm / Muhammad Hazim Shahimi
title_full_unstemmed	Spam image filtering algorithm / Muhammad Hazim Shahimi
title_sort	spam image filtering algorithm / muhammad hazim shahimi
granting_institution	Universiti Teknologi MARA, Perak
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2015
url	https://ir.uitm.edu.my/id/eprint/57789/1/57789.pdf
_version_	1783734987632148480

Spam image filtering algorithm / Muhammad Hazim Shahimi

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