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An Efficient Phase-Based Binarization Method for Degraded Historical Documents

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@article{IJASEIT7774,
   author = {Alaa Sulaiman and Khairuddin Omar and Mohammad F. Nasrudin},
   title = {An Efficient Phase-Based Binarization Method for Degraded Historical Documents},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {9},
   number = {6},
   year = {2019},
   pages = {2207--2215},
   keywords = {document image binarization; document image binarization contest (DIBCO); HOWE binarization.},
   abstract = {

Document image binarization is the first essential step in digitalizing images and is considered an essential technique in both document image analysis applications and optical character recognition operations, the binarization process is used to obtain a binary image from the original image, binary image is the proper presentation for image segmentation, recognition, and restoration as underlined by several studies which assure that the next step of document image analysis applications depends on the binarization result.  However, old and historical document images mainly suffering from several types of degradations, such as bleeding through the blur, uneven illumination and other types of degradations which makes the binarization process a difficult task. Therefore, extracting of foreground from a degraded background relies on the degradation, furthermore it also depends on the type of used paper and document age. Developed binarization methods are necessary to decrease the impact of the degradation in document background. To resolve this difficulty, this paper proposes an effective, enhanced binarization technique for degraded and historical document images. The proposed method is based on enhancing an existing binarization method by modifying parameters and adding a post-processing stage, thus improving the resulting binary images. This proposed technique is also robust, as there is no need for parameter tuning. After using document image binarization Contest (DIBCO) datasets to evaluate this proposed technique, our findings show that the proposed method efficiency is promising, producing better results than those obtained by some of the winners in the DIBCO.

},    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=7774},    doi = {10.18517/ijaseit.9.6.7774} }

EndNote

%A Sulaiman, Alaa
%A Omar, Khairuddin
%A Nasrudin, Mohammad F.
%D 2019
%T An Efficient Phase-Based Binarization Method for Degraded Historical Documents
%B 2019
%9 document image binarization; document image binarization contest (DIBCO); HOWE binarization.
%! An Efficient Phase-Based Binarization Method for Degraded Historical Documents
%K document image binarization; document image binarization contest (DIBCO); HOWE binarization.
%X 

Document image binarization is the first essential step in digitalizing images and is considered an essential technique in both document image analysis applications and optical character recognition operations, the binarization process is used to obtain a binary image from the original image, binary image is the proper presentation for image segmentation, recognition, and restoration as underlined by several studies which assure that the next step of document image analysis applications depends on the binarization result.  However, old and historical document images mainly suffering from several types of degradations, such as bleeding through the blur, uneven illumination and other types of degradations which makes the binarization process a difficult task. Therefore, extracting of foreground from a degraded background relies on the degradation, furthermore it also depends on the type of used paper and document age. Developed binarization methods are necessary to decrease the impact of the degradation in document background. To resolve this difficulty, this paper proposes an effective, enhanced binarization technique for degraded and historical document images. The proposed method is based on enhancing an existing binarization method by modifying parameters and adding a post-processing stage, thus improving the resulting binary images. This proposed technique is also robust, as there is no need for parameter tuning. After using document image binarization Contest (DIBCO) datasets to evaluate this proposed technique, our findings show that the proposed method efficiency is promising, producing better results than those obtained by some of the winners in the DIBCO.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=7774 %R doi:10.18517/ijaseit.9.6.7774 %J International Journal on Advanced Science, Engineering and Information Technology %V 9 %N 6 %@ 2088-5334

IEEE

Alaa Sulaiman,Khairuddin Omar and Mohammad F. Nasrudin,"An Efficient Phase-Based Binarization Method for Degraded Historical Documents," International Journal on Advanced Science, Engineering and Information Technology, vol. 9, no. 6, pp. 2207-2215, 2019. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.9.6.7774.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Sulaiman, Alaa
AU  - Omar, Khairuddin
AU  - Nasrudin, Mohammad F.
PY  - 2019
TI  - An Efficient Phase-Based Binarization Method for Degraded Historical Documents
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 9 (2019) No. 6
Y2  - 2019
SP  - 2207
EP  - 2215
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - document image binarization; document image binarization contest (DIBCO); HOWE binarization.
N2  - 

Document image binarization is the first essential step in digitalizing images and is considered an essential technique in both document image analysis applications and optical character recognition operations, the binarization process is used to obtain a binary image from the original image, binary image is the proper presentation for image segmentation, recognition, and restoration as underlined by several studies which assure that the next step of document image analysis applications depends on the binarization result.  However, old and historical document images mainly suffering from several types of degradations, such as bleeding through the blur, uneven illumination and other types of degradations which makes the binarization process a difficult task. Therefore, extracting of foreground from a degraded background relies on the degradation, furthermore it also depends on the type of used paper and document age. Developed binarization methods are necessary to decrease the impact of the degradation in document background. To resolve this difficulty, this paper proposes an effective, enhanced binarization technique for degraded and historical document images. The proposed method is based on enhancing an existing binarization method by modifying parameters and adding a post-processing stage, thus improving the resulting binary images. This proposed technique is also robust, as there is no need for parameter tuning. After using document image binarization Contest (DIBCO) datasets to evaluate this proposed technique, our findings show that the proposed method efficiency is promising, producing better results than those obtained by some of the winners in the DIBCO.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=7774 DO - 10.18517/ijaseit.9.6.7774

RefWorks

RT Journal Article
ID 7774
A1 Sulaiman, Alaa
A1 Omar, Khairuddin
A1 Nasrudin, Mohammad F.
T1 An Efficient Phase-Based Binarization Method for Degraded Historical Documents
JF International Journal on Advanced Science, Engineering and Information Technology
VO 9
IS 6
YR 2019
SP 2207
OP 2215
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 document image binarization; document image binarization contest (DIBCO); HOWE binarization.
AB 

Document image binarization is the first essential step in digitalizing images and is considered an essential technique in both document image analysis applications and optical character recognition operations, the binarization process is used to obtain a binary image from the original image, binary image is the proper presentation for image segmentation, recognition, and restoration as underlined by several studies which assure that the next step of document image analysis applications depends on the binarization result.  However, old and historical document images mainly suffering from several types of degradations, such as bleeding through the blur, uneven illumination and other types of degradations which makes the binarization process a difficult task. Therefore, extracting of foreground from a degraded background relies on the degradation, furthermore it also depends on the type of used paper and document age. Developed binarization methods are necessary to decrease the impact of the degradation in document background. To resolve this difficulty, this paper proposes an effective, enhanced binarization technique for degraded and historical document images. The proposed method is based on enhancing an existing binarization method by modifying parameters and adding a post-processing stage, thus improving the resulting binary images. This proposed technique is also robust, as there is no need for parameter tuning. After using document image binarization Contest (DIBCO) datasets to evaluate this proposed technique, our findings show that the proposed method efficiency is promising, producing better results than those obtained by some of the winners in the DIBCO.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=7774 DO - 10.18517/ijaseit.9.6.7774