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Restoration and segmentation of old Jawi manuscripts using variational image inpainting and active contour models

Old Jawi Manuscripts (OJM) are crucial to historical studies, offering insights into past societies. However, degradation from mishandling and environmental factors can impair their legibility. To preserve OJM, image inpainting and segmentation are essential for restoring corrupted areas and identif...

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Main Authors: Laham, Mohamed Faris, Jumaat, Abdul Kadir, Badarul Azam, Amisha Balkis, Maasar, M. A, Badarul Azam, A. S., Mohammad Sabri, Nur Afiqah Sabirah, Yahaya, Amiratul Munirah, Ismail, Ahmad Thaqif, Abdul Razak, Muhammad Anas
Format: Article
Language:English
Published: Universiti Utara Malaysia Press 2024
Subjects:
Mathematics
Online Access:http://psasir.upm.edu.my/id/eprint/114728/1/114728.pdf
http://psasir.upm.edu.my/id/eprint/114728/
https://e-journal.uum.edu.my/index.php/jict/article/view/22844
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spelling my.upm.eprints.1147282025-01-27T03:31:05Z http://psasir.upm.edu.my/id/eprint/114728/ Restoration and segmentation of old Jawi manuscripts using variational image inpainting and active contour models Laham, Mohamed Faris Jumaat, Abdul Kadir Badarul Azam, Amisha Balkis Maasar, M. A Badarul Azam, A. S. Mohammad Sabri, Nur Afiqah Sabirah Yahaya, Amiratul Munirah Ismail, Ahmad Thaqif Abdul Razak, Muhammad Anas Old Jawi Manuscripts (OJM) are crucial to historical studies, offering insights into past societies. However, degradation from mishandling and environmental factors can impair their legibility. To preserve OJM, image inpainting and segmentation are essential for restoring corrupted areas and identifying text. Recently, the Gaussian Regularization Segmentation (GRS) model has shown effectiveness in intensity inhomogeneity grayscale image segmentation, though it was not designed for corrupted OJM images. Therefore, this study aimed to reformulate the GRS model to restore and segment text from real corrupted OJM images. The methodology begins with the incorporation of the Mumford-Shah and Bertalmio inpainting models into the GRS model as new fitting terms, resulting in the Modified Gaussian Regularization Segmentation Mumford-Shah (MGRSM) model and the Modified Gaussian Regularization Segmentation Bertalmio (MGRSB) model, respectively. MATLAB was used to implement these models, and their performance was assessed on 30 corrupted OJM samples from Malay Ethnomathematics Research Group, with expert evaluations and efficiency measured by average elapsed time. The MGRSM model achieved 38.4 percent and 12.4 percent higher overall total scores from experts in terms of segmentation accuracy compared to the GRS and MGRSB models, respectively. While the GRS model is the fastest, the MGRSM model provides superior accuracy, with an average processing time of 9.35 seconds, making it the most optimal for restoring and segmenting OJM images. This approach not only enhances the preservation of historical manuscripts but also provides a practical tool for researchers and historians in safeguarding our cultural heritage. Universiti Utara Malaysia Press 2024 Article PeerReviewed text en cc_by_4 http://psasir.upm.edu.my/id/eprint/114728/1/114728.pdf Laham, Mohamed Faris and Jumaat, Abdul Kadir and Badarul Azam, Amisha Balkis and Maasar, M. A and Badarul Azam, A. S. and Mohammad Sabri, Nur Afiqah Sabirah and Yahaya, Amiratul Munirah and Ismail, Ahmad Thaqif and Abdul Razak, Muhammad Anas (2024) Restoration and segmentation of old Jawi manuscripts using variational image inpainting and active contour models. Journal of Information and Communication Technology, 23 (4). pp. 561-592. ISSN 1675-414X; eISSN: 2180-3862 https://e-journal.uum.edu.my/index.php/jict/article/view/22844 Mathematics 10.32890/jict2024.23.4.1
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
topic Mathematics
spellingShingle Mathematics
Laham, Mohamed Faris
Jumaat, Abdul Kadir
Badarul Azam, Amisha Balkis
Maasar, M. A
Badarul Azam, A. S.
Mohammad Sabri, Nur Afiqah Sabirah
Yahaya, Amiratul Munirah
Ismail, Ahmad Thaqif
Abdul Razak, Muhammad Anas
Restoration and segmentation of old Jawi manuscripts using variational image inpainting and active contour models
description Old Jawi Manuscripts (OJM) are crucial to historical studies, offering insights into past societies. However, degradation from mishandling and environmental factors can impair their legibility. To preserve OJM, image inpainting and segmentation are essential for restoring corrupted areas and identifying text. Recently, the Gaussian Regularization Segmentation (GRS) model has shown effectiveness in intensity inhomogeneity grayscale image segmentation, though it was not designed for corrupted OJM images. Therefore, this study aimed to reformulate the GRS model to restore and segment text from real corrupted OJM images. The methodology begins with the incorporation of the Mumford-Shah and Bertalmio inpainting models into the GRS model as new fitting terms, resulting in the Modified Gaussian Regularization Segmentation Mumford-Shah (MGRSM) model and the Modified Gaussian Regularization Segmentation Bertalmio (MGRSB) model, respectively. MATLAB was used to implement these models, and their performance was assessed on 30 corrupted OJM samples from Malay Ethnomathematics Research Group, with expert evaluations and efficiency measured by average elapsed time. The MGRSM model achieved 38.4 percent and 12.4 percent higher overall total scores from experts in terms of segmentation accuracy compared to the GRS and MGRSB models, respectively. While the GRS model is the fastest, the MGRSM model provides superior accuracy, with an average processing time of 9.35 seconds, making it the most optimal for restoring and segmenting OJM images. This approach not only enhances the preservation of historical manuscripts but also provides a practical tool for researchers and historians in safeguarding our cultural heritage.
format Article
author Laham, Mohamed Faris
Jumaat, Abdul Kadir
Badarul Azam, Amisha Balkis
Maasar, M. A
Badarul Azam, A. S.
Mohammad Sabri, Nur Afiqah Sabirah
Yahaya, Amiratul Munirah
Ismail, Ahmad Thaqif
Abdul Razak, Muhammad Anas
author_facet Laham, Mohamed Faris
Jumaat, Abdul Kadir
Badarul Azam, Amisha Balkis
Maasar, M. A
Badarul Azam, A. S.
Mohammad Sabri, Nur Afiqah Sabirah
Yahaya, Amiratul Munirah
Ismail, Ahmad Thaqif
Abdul Razak, Muhammad Anas
author_sort Laham, Mohamed Faris
title Restoration and segmentation of old Jawi manuscripts using variational image inpainting and active contour models
title_short Restoration and segmentation of old Jawi manuscripts using variational image inpainting and active contour models
title_full Restoration and segmentation of old Jawi manuscripts using variational image inpainting and active contour models
title_fullStr Restoration and segmentation of old Jawi manuscripts using variational image inpainting and active contour models
title_full_unstemmed Restoration and segmentation of old Jawi manuscripts using variational image inpainting and active contour models
title_sort restoration and segmentation of old jawi manuscripts using variational image inpainting and active contour models
publisher Universiti Utara Malaysia Press
publishDate 2024
url http://psasir.upm.edu.my/id/eprint/114728/1/114728.pdf
http://psasir.upm.edu.my/id/eprint/114728/
https://e-journal.uum.edu.my/index.php/jict/article/view/22844
_version_ 1823093255853572096
score 13.239859

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