A new efficient text detection method for image spam filtering

Detection of text in images plays an important role in many situations such as video retrieval, annotation, indexing, and content analysis. In information security to filter image spam, one main feature can be used is text contents in image. Extracting text features from image spam needs efficient t...

Full description

Bibliographic Details
Main Authors:	Al Muataz, Zubaidah, Abdul Aziz, Normaziah
Format:	Article
Language:	English
Published:	Praise Worthy Prize S.r.l 2015
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/48601/ http://irep.iium.edu.my/48601/1/IRECOS_VOL_10_N_1.2-9-Naa-Zubaida.pdf

id	iium-48601
recordtype	eprints
spelling	iium-486012016-06-05T19:30:09Z http://irep.iium.edu.my/48601/ A new efficient text detection method for image spam filtering Al Muataz, Zubaidah Abdul Aziz, Normaziah QA75 Electronic computers. Computer science Detection of text in images plays an important role in many situations such as video retrieval, annotation, indexing, and content analysis. In information security to filter image spam, one main feature can be used is text contents in image. Extracting text features from image spam needs efficient text detection. Obfuscating techniques used by spammers such as noisy background, wavy text and text with different colors pose challenges to the text detection process. In this paper, we present a text detection method that addresses these challenges. The contribution of this research consists of two parts: a) a new edge operator can specifically be used to detect text edges, and b) proposing of text detection method for image spam filtering that can detect obfuscated text. The proposed method Accumulated Text Extraction (ATE) works for detecting horizontal and vertical lines and intersecting them, then rules are used to determine the text area and reduce non text area. The approach focuses on using non-machine learning methods with simple calculations. ATE shows encouraging results which can be efficiently used in image spam filtering. Besides its robustness against obfuscating methods in image spam, ATE shows efficient performance when used for scene text detection. Praise Worthy Prize S.r.l 2015-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/48601/1/IRECOS_VOL_10_N_1.2-9-Naa-Zubaida.pdf Al Muataz, Zubaidah and Abdul Aziz, Normaziah (2015) A new efficient text detection method for image spam filtering. International Review on Computers and Software, 10 (1). pp. 1-8. ISSN 1828-6003
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Al Muataz, Zubaidah Abdul Aziz, Normaziah A new efficient text detection method for image spam filtering
description	Detection of text in images plays an important role in many situations such as video retrieval, annotation, indexing, and content analysis. In information security to filter image spam, one main feature can be used is text contents in image. Extracting text features from image spam needs efficient text detection. Obfuscating techniques used by spammers such as noisy background, wavy text and text with different colors pose challenges to the text detection process. In this paper, we present a text detection method that addresses these challenges. The contribution of this research consists of two parts: a) a new edge operator can specifically be used to detect text edges, and b) proposing of text detection method for image spam filtering that can detect obfuscated text. The proposed method Accumulated Text Extraction (ATE) works for detecting horizontal and vertical lines and intersecting them, then rules are used to determine the text area and reduce non text area. The approach focuses on using non-machine learning methods with simple calculations. ATE shows encouraging results which can be efficiently used in image spam filtering. Besides its robustness against obfuscating methods in image spam, ATE shows efficient performance when used for scene text detection.
format	Article
author	Al Muataz, Zubaidah Abdul Aziz, Normaziah
author_facet	Al Muataz, Zubaidah Abdul Aziz, Normaziah
author_sort	Al Muataz, Zubaidah
title	A new efficient text detection method for image spam filtering
title_short	A new efficient text detection method for image spam filtering
title_full	A new efficient text detection method for image spam filtering
title_fullStr	A new efficient text detection method for image spam filtering
title_full_unstemmed	A new efficient text detection method for image spam filtering
title_sort	new efficient text detection method for image spam filtering
publisher	Praise Worthy Prize S.r.l
publishDate	2015
url	http://irep.iium.edu.my/48601/ http://irep.iium.edu.my/48601/1/IRECOS_VOL_10_N_1.2-9-Naa-Zubaida.pdf
first_indexed	2023-09-18T21:08:54Z
last_indexed	2023-09-18T21:08:54Z
_version_	1777411119679275008

A new efficient text detection method for image spam filtering

Similar Items