Robust generic Structured Document Classification System / Hamam M.Ibrahim Mokayed

The Structured Document Classification System (SDCS) is an industrialdriven technology that has the ability to classify piles of structured documents collected everyday efficiently in different places. Although the SDCS technology has advanced tremendously, one of the most challenging tasks is to pr...

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Bibliographic Details
Main Author:	M.Ibrahim Mokayed, Hamam
Format:	Book Section
Language:	English
Published:	Institute of Graduate Studies, UiTM 2017
Subjects:	Malaysia
Online Access:	http://ir.uitm.edu.my/id/eprint/19740/ http://ir.uitm.edu.my/id/eprint/19740/1/ABS_HAMAM%20M.IBRAHIM%20MOKAYED%20TDRA%20VOL%2011%20IGS%2017.pdf

id	uitm-19740
recordtype	eprints
spelling	uitm-197402018-06-07T07:01:33Z http://ir.uitm.edu.my/id/eprint/19740/ Robust generic Structured Document Classification System / Hamam M.Ibrahim Mokayed M.Ibrahim Mokayed, Hamam Malaysia The Structured Document Classification System (SDCS) is an industrialdriven technology that has the ability to classify piles of structured documents collected everyday efficiently in different places. Although the SDCS technology has advanced tremendously, one of the most challenging tasks is to propose a classifier that supports various layouts for different categories and different script languages in a high accuracy and efficient time. To solve the issue of supporting various layouts for different categories and different script languages, a Robust Generic Structured Document Classifier has been proposed (RGSDC). RGSDS starts with finding the best objects that can be used to fit the target and solve the issue. Detailed study for all the previous thresholding techniques is conducted to introduce a new categorization method based on the transformation value of input images. This study is a good base for finding reliable thresholding algorithm. A new thresholding technique based on ordinal structure fuzzy logic (OSFM) is proposed to provide a robust generic image thresholding technique (RGT) that is able to extract clear mixed predefined objects for different languages and multi layouts problems. Two different set of features that distinguish different languages and multi layouts structured documents are proposed… Institute of Graduate Studies, UiTM 2017 Book Section PeerReviewed text en http://ir.uitm.edu.my/id/eprint/19740/1/ABS_HAMAM%20M.IBRAHIM%20MOKAYED%20TDRA%20VOL%2011%20IGS%2017.pdf M.Ibrahim Mokayed, Hamam (2017) Robust generic Structured Document Classification System / Hamam M.Ibrahim Mokayed. In: The Doctoral Research Abstracts. IGS Biannual Publication, 11 (11). Institute of Graduate Studies, UiTM, Shah Alam.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Malaysia
spellingShingle	Malaysia M.Ibrahim Mokayed, Hamam Robust generic Structured Document Classification System / Hamam M.Ibrahim Mokayed
description	The Structured Document Classification System (SDCS) is an industrialdriven technology that has the ability to classify piles of structured documents collected everyday efficiently in different places. Although the SDCS technology has advanced tremendously, one of the most challenging tasks is to propose a classifier that supports various layouts for different categories and different script languages in a high accuracy and efficient time. To solve the issue of supporting various layouts for different categories and different script languages, a Robust Generic Structured Document Classifier has been proposed (RGSDC). RGSDS starts with finding the best objects that can be used to fit the target and solve the issue. Detailed study for all the previous thresholding techniques is conducted to introduce a new categorization method based on the transformation value of input images. This study is a good base for finding reliable thresholding algorithm. A new thresholding technique based on ordinal structure fuzzy logic (OSFM) is proposed to provide a robust generic image thresholding technique (RGT) that is able to extract clear mixed predefined objects for different languages and multi layouts problems. Two different set of features that distinguish different languages and multi layouts structured documents are proposed…
format	Book Section
author	M.Ibrahim Mokayed, Hamam
author_facet	M.Ibrahim Mokayed, Hamam
author_sort	M.Ibrahim Mokayed, Hamam
title	Robust generic Structured Document Classification System / Hamam M.Ibrahim Mokayed
title_short	Robust generic Structured Document Classification System / Hamam M.Ibrahim Mokayed
title_full	Robust generic Structured Document Classification System / Hamam M.Ibrahim Mokayed
title_fullStr	Robust generic Structured Document Classification System / Hamam M.Ibrahim Mokayed
title_full_unstemmed	Robust generic Structured Document Classification System / Hamam M.Ibrahim Mokayed
title_sort	robust generic structured document classification system / hamam m.ibrahim mokayed
publisher	Institute of Graduate Studies, UiTM
publishDate	2017
url	http://ir.uitm.edu.my/id/eprint/19740/ http://ir.uitm.edu.my/id/eprint/19740/1/ABS_HAMAM%20M.IBRAHIM%20MOKAYED%20TDRA%20VOL%2011%20IGS%2017.pdf
first_indexed	2023-09-18T23:03:11Z
last_indexed	2023-09-18T23:03:11Z
_version_	1777418309777489920

Robust generic Structured Document Classification System / Hamam M.Ibrahim Mokayed

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