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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/67111/1/67111_Image%20Enhancement%20Background%20for%20High.pdf
http://irep.iium.edu.my/67111/7/67111_Image%20Enhancement%20Background%20for%20High_SCOPUS.pdf
http://irep.iium.edu.my/67111/
http://insightsociety.org/ojaseit/index.php/ijaseit/article/view/6958
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spelling my.iium.irep.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. http://insightsociety.org/ojaseit/index.php/ijaseit/article/view/6958 10.18517/ijaseit.8.4-2.6958
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/67111/1/67111_Image%20Enhancement%20Background%20for%20High.pdf
http://irep.iium.edu.my/67111/7/67111_Image%20Enhancement%20Background%20for%20High_SCOPUS.pdf
http://irep.iium.edu.my/67111/
http://insightsociety.org/ojaseit/index.php/ijaseit/article/view/6958
_version_ 1643618515448496128
score 13.211869

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