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Image Enhancement Background for High Damage Malay Manuscripts using Adaptive Threshold Binarization

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@article{IJASEIT6958,
   author = {Sitti Rachmawati Yahya and Khairuddin Omar and Siti Norul Huda Sheikh Abdullah and Ali Sophian},
   title = {Image Enhancement Background for High Damage Malay Manuscripts using Adaptive Threshold Binarization},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {8},
   number = {4-2},
   year = {2018},
   pages = {1552--1564},
   keywords = {Adaptive Equalization, Automatic Threshold, Ink Bleed, Malay Manuscript},
   abstract = {

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.

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=6958},    doi = {10.18517/ijaseit.8.4-2.6958} }

EndNote

%A Yahya, Sitti Rachmawati
%A Omar, Khairuddin
%A Sheikh Abdullah, Siti Norul Huda
%A Sophian, Ali
%D 2018
%T Image Enhancement Background for High Damage Malay Manuscripts using Adaptive Threshold Binarization
%B 2018
%9 Adaptive Equalization, Automatic Threshold, Ink Bleed, Malay Manuscript
%! Image Enhancement Background for High Damage Malay Manuscripts using Adaptive Threshold Binarization
%K Adaptive Equalization, Automatic Threshold, Ink Bleed, Malay Manuscript
%X 

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.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=6958 %R doi:10.18517/ijaseit.8.4-2.6958 %J International Journal on Advanced Science, Engineering and Information Technology %V 8 %N 4-2 %@ 2088-5334

IEEE

Sitti Rachmawati Yahya,Khairuddin Omar,Siti Norul Huda Sheikh Abdullah and Ali Sophian,"Image Enhancement Background for High Damage Malay Manuscripts using Adaptive Threshold Binarization," International Journal on Advanced Science, Engineering and Information Technology, vol. 8, no. 4-2, pp. 1552-1564, 2018. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.8.4-2.6958.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Yahya, Sitti Rachmawati
AU  - Omar, Khairuddin
AU  - Sheikh Abdullah, Siti Norul Huda
AU  - Sophian, Ali
PY  - 2018
TI  - Image Enhancement Background for High Damage Malay Manuscripts using Adaptive Threshold Binarization
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 8 (2018) No. 4-2
Y2  - 2018
SP  - 1552
EP  - 1564
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - Adaptive Equalization, Automatic Threshold, Ink Bleed, Malay Manuscript
N2  - 

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.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=6958 DO - 10.18517/ijaseit.8.4-2.6958

RefWorks

RT Journal Article
ID 6958
A1 Yahya, Sitti Rachmawati
A1 Omar, Khairuddin
A1 Sheikh Abdullah, Siti Norul Huda
A1 Sophian, Ali
T1 Image Enhancement Background for High Damage Malay Manuscripts using Adaptive Threshold Binarization
JF International Journal on Advanced Science, Engineering and Information Technology
VO 8
IS 4-2
YR 2018
SP 1552
OP 1564
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Adaptive Equalization, Automatic Threshold, Ink Bleed, Malay Manuscript
AB 

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.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=6958 DO - 10.18517/ijaseit.8.4-2.6958