Image enhancement background for high damage Malay manuscripts using adaptive threshold binarization

Jawi Manuscripts handwritten which are kept at Malaysia National Library (MNL), has aged over decades. Regardless of the intensive sustainable process conducted by MNL, these manuscripts are still not maintained in good quality, and neither can easily be read nor better view. Even thought, many sta...

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Main Authors:	Yahya, Sitti Rachmawati, Omar, Khairuddin, Sheikh Abdullah, Siti Nurol Huda, Sophian, Ali
Format:	Article
Language:	English English
Published:	Indonesian Society for Knowledge and Human Development (INSIGHT) 2018
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/67111/ http://irep.iium.edu.my/67111/ http://irep.iium.edu.my/67111/ http://irep.iium.edu.my/67111/1/67111_Image%20Enhancement%20Background%20for%20High.pdf http://irep.iium.edu.my/67111/7/67111_Image%20Enhancement%20Background%20for%20High_SCOPUS.pdf

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recordtype	eprints
spelling	iium-671112019-01-04T02:10:14Z http://irep.iium.edu.my/67111/ Image enhancement background for high damage Malay manuscripts using adaptive threshold binarization Yahya, Sitti Rachmawati Omar, Khairuddin Sheikh Abdullah, Siti Nurol Huda Sophian, Ali TK7885 Computer engineering Jawi Manuscripts handwritten which are kept at Malaysia National Library (MNL), has aged over decades. Regardless of the intensive sustainable process conducted by MNL, these manuscripts are still not maintained in good quality, and neither can easily be read nor better view. Even thought, many states of the art methods have developed for image enhancement, none of them can solve extremely bad quality manuscripts. The quality of old Malay Manuscripts can be categorize into three types, namely: the background image is uneven, image effects and image effects expand patch. The aim of this paper is to discuss the methods used to value add the quality of the manuscript. Our propose methods consist of several main methods, such as: Local Adaptive Equalization, Image Intensity Values, Automatic Threshold PP, and Adaptive Threshold Filtering. This paper is intend to achieve a better view image that geared to ease reading. Error Bit Phase achievement (TKB) has a smaller error value for proposed method (Adaptive Threshold Filtering Process / PAM) namely 0.0316 compared with Otsu’s Threshold Method / MNAO, Binary Threshold Value Method / MNAP, and Automatic Local Threshold Value Method / MNATA. The precision achievement (namely on ink bleed images) is using a proposed method more than 95% is compared with the state of the art methods MNAO, MNAP, MNATA and their performances are 75.82%, 90.68%, and 91.2% subsequently. However, this paper’s achievement is using a proposed method / PAM, MNAO, MNAP, and MNATA for correspondingly the image of ink bleed case are 45.74%, 54.80%, 53.23% and 46.02%. Conclusion, the proposed method produces a better character shape in comparison to other methods. Indonesian Society for Knowledge and Human Development (INSIGHT) 2018-10-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/67111/1/67111_Image%20Enhancement%20Background%20for%20High.pdf application/pdf en http://irep.iium.edu.my/67111/7/67111_Image%20Enhancement%20Background%20for%20High_SCOPUS.pdf Yahya, Sitti Rachmawati and Omar, Khairuddin and Sheikh Abdullah, Siti Nurol Huda and Sophian, Ali (2018) Image enhancement background for high damage Malay manuscripts using adaptive threshold binarization. International Journal on Advanced Science, Engineering and Information Technology, 8 (4-2). pp. 1552-1564. E-ISSN 2088-5334 http://insightsociety.org/ojaseit/index.php/ijaseit/article/view/6958 10.18517/ijaseit.8.4-2.6958
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK7885 Computer engineering
spellingShingle	TK7885 Computer engineering Yahya, Sitti Rachmawati Omar, Khairuddin Sheikh Abdullah, Siti Nurol Huda Sophian, Ali Image enhancement background for high damage Malay manuscripts using adaptive threshold binarization
description	Jawi Manuscripts handwritten which are kept at Malaysia National Library (MNL), has aged over decades. Regardless of the intensive sustainable process conducted by MNL, these manuscripts are still not maintained in good quality, and neither can easily be read nor better view. Even thought, many states of the art methods have developed for image enhancement, none of them can solve extremely bad quality manuscripts. The quality of old Malay Manuscripts can be categorize into three types, namely: the background image is uneven, image effects and image effects expand patch. The aim of this paper is to discuss the methods used to value add the quality of the manuscript. Our propose methods consist of several main methods, such as: Local Adaptive Equalization, Image Intensity Values, Automatic Threshold PP, and Adaptive Threshold Filtering. This paper is intend to achieve a better view image that geared to ease reading. Error Bit Phase achievement (TKB) has a smaller error value for proposed method (Adaptive Threshold Filtering Process / PAM) namely 0.0316 compared with Otsu’s Threshold Method / MNAO, Binary Threshold Value Method / MNAP, and Automatic Local Threshold Value Method / MNATA. The precision achievement (namely on ink bleed images) is using a proposed method more than 95% is compared with the state of the art methods MNAO, MNAP, MNATA and their performances are 75.82%, 90.68%, and 91.2% subsequently. However, this paper’s achievement is using a proposed method / PAM, MNAO, MNAP, and MNATA for correspondingly the image of ink bleed case are 45.74%, 54.80%, 53.23% and 46.02%. Conclusion, the proposed method produces a better character shape in comparison to other methods.
format	Article
author	Yahya, Sitti Rachmawati Omar, Khairuddin Sheikh Abdullah, Siti Nurol Huda Sophian, Ali
author_facet	Yahya, Sitti Rachmawati Omar, Khairuddin Sheikh Abdullah, Siti Nurol Huda Sophian, Ali
author_sort	Yahya, Sitti Rachmawati
title	Image enhancement background for high damage Malay manuscripts using adaptive threshold binarization
title_short	Image enhancement background for high damage Malay manuscripts using adaptive threshold binarization
title_full	Image enhancement background for high damage Malay manuscripts using adaptive threshold binarization
title_fullStr	Image enhancement background for high damage Malay manuscripts using adaptive threshold binarization
title_full_unstemmed	Image enhancement background for high damage Malay manuscripts using adaptive threshold binarization
title_sort	image enhancement background for high damage malay manuscripts using adaptive threshold binarization
publisher	Indonesian Society for Knowledge and Human Development (INSIGHT)
publishDate	2018
url	http://irep.iium.edu.my/67111/ http://irep.iium.edu.my/67111/ http://irep.iium.edu.my/67111/ http://irep.iium.edu.my/67111/1/67111_Image%20Enhancement%20Background%20for%20High.pdf http://irep.iium.edu.my/67111/7/67111_Image%20Enhancement%20Background%20for%20High_SCOPUS.pdf
first_indexed	2023-09-18T21:35:17Z
last_indexed	2023-09-18T21:35:17Z
_version_	1777412779587665920

Image enhancement background for high damage Malay manuscripts using adaptive threshold binarization

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