Word extraction

In content-based image processing system, describing and extracting word is a key question. This project is an approach to extracting word characters from images using image processing technique of MATLAB software, which in this system developed contain two phases. Those phases are preprocessing ph...

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Bibliographic Details
Main Author: Siti Munirah, Abdul Kudus
Format: Undergraduates Project Papers
Language:English
Published: 2009
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/14530/
http://umpir.ump.edu.my/id/eprint/14530/
http://umpir.ump.edu.my/id/eprint/14530/1/FKEE%20-%20SITI%20MUNIRAH%20ABDUL%20KUDUS.PDF
id ump-14530
recordtype eprints
spelling ump-145302016-09-28T01:08:04Z http://umpir.ump.edu.my/id/eprint/14530/ Word extraction Siti Munirah, Abdul Kudus TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering In content-based image processing system, describing and extracting word is a key question. This project is an approach to extracting word characters from images using image processing technique of MATLAB software, which in this system developed contain two phases. Those phases are preprocessing phase, where system used binarization and smoothing technique, while in second phase which is feature extraction phase, system used morphological technique. The word extraction eliminates noise and the distortions on the same document to remain the important characters. The result generated by this system is 87.5% satisfactory with the ability to read the valueable words and documents. Thus, the system and method is effective and feasible. 2009 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/14530/1/FKEE%20-%20SITI%20MUNIRAH%20ABDUL%20KUDUS.PDF Siti Munirah, Abdul Kudus (2009) Word extraction. Faculty of Electrical & Electronics Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:55151&theme=UMP2
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Siti Munirah, Abdul Kudus
Word extraction
description In content-based image processing system, describing and extracting word is a key question. This project is an approach to extracting word characters from images using image processing technique of MATLAB software, which in this system developed contain two phases. Those phases are preprocessing phase, where system used binarization and smoothing technique, while in second phase which is feature extraction phase, system used morphological technique. The word extraction eliminates noise and the distortions on the same document to remain the important characters. The result generated by this system is 87.5% satisfactory with the ability to read the valueable words and documents. Thus, the system and method is effective and feasible.
format Undergraduates Project Papers
author Siti Munirah, Abdul Kudus
author_facet Siti Munirah, Abdul Kudus
author_sort Siti Munirah, Abdul Kudus
title Word extraction
title_short Word extraction
title_full Word extraction
title_fullStr Word extraction
title_full_unstemmed Word extraction
title_sort word extraction
publishDate 2009
url http://umpir.ump.edu.my/id/eprint/14530/
http://umpir.ump.edu.my/id/eprint/14530/
http://umpir.ump.edu.my/id/eprint/14530/1/FKEE%20-%20SITI%20MUNIRAH%20ABDUL%20KUDUS.PDF
first_indexed 2023-09-18T22:18:23Z
last_indexed 2023-09-18T22:18:23Z
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