Improved Degraded Document Image Binarization Using Median Filter for Background Estimation

In this paper, we propose a new binarization method suitable for images having a variety of sizes and degradation levels. It is mainly based on the idea of estimating a document background surface by new smoothing approach through a median filter and compute-Sharp-Peak to replace iterative polynomia...

Full description

Bibliographic Details
Main Authors: Mehdi Khitas, Lahcene Ziet, Saad Bouguezel
Format: Article
Language:English
Published: Kaunas University of Technology 2018-06-01
Series:Elektronika ir Elektrotechnika
Subjects:
Online Access:http://eejournal.ktu.lt/index.php/elt/article/view/20982
_version_ 1818267760302489600
author Mehdi Khitas
Lahcene Ziet
Saad Bouguezel
author_facet Mehdi Khitas
Lahcene Ziet
Saad Bouguezel
author_sort Mehdi Khitas
collection DOAJ
description In this paper, we propose a new binarization method suitable for images having a variety of sizes and degradation levels. It is mainly based on the idea of estimating a document background surface by new smoothing approach through a median filter and compute-Sharp-Peak to replace iterative polynomial. The resulting document image is then segmented by a global threshold binarization. The simulation results confirm that the performance of the proposed method is generally competitive to that of the existing methods. For highly degraded document images, specifically the documents in the BICKLEY DIARY data-base, the performance of the former is substantially better than that of the latter. We show how this approach outperforms the existing and widely used binarization methods in terms of accuracy, F-measure, PSNR, NRM, MPM, DRD, recall and precision. DOI: http://dx.doi.org/10.5755/j01.eie.24.3.20982
first_indexed 2024-12-12T20:27:43Z
format Article
id doaj.art-5b46caa792ba41f2ac32b6bb370db769
institution Directory Open Access Journal
issn 1392-1215
2029-5731
language English
last_indexed 2024-12-12T20:27:43Z
publishDate 2018-06-01
publisher Kaunas University of Technology
record_format Article
series Elektronika ir Elektrotechnika
spelling doaj.art-5b46caa792ba41f2ac32b6bb370db7692022-12-22T00:13:06ZengKaunas University of TechnologyElektronika ir Elektrotechnika1392-12152029-57312018-06-01243828710.5755/j01.eie.24.3.2098220982Improved Degraded Document Image Binarization Using Median Filter for Background EstimationMehdi KhitasLahcene ZietSaad BouguezelIn this paper, we propose a new binarization method suitable for images having a variety of sizes and degradation levels. It is mainly based on the idea of estimating a document background surface by new smoothing approach through a median filter and compute-Sharp-Peak to replace iterative polynomial. The resulting document image is then segmented by a global threshold binarization. The simulation results confirm that the performance of the proposed method is generally competitive to that of the existing methods. For highly degraded document images, specifically the documents in the BICKLEY DIARY data-base, the performance of the former is substantially better than that of the latter. We show how this approach outperforms the existing and widely used binarization methods in terms of accuracy, F-measure, PSNR, NRM, MPM, DRD, recall and precision. DOI: http://dx.doi.org/10.5755/j01.eie.24.3.20982http://eejournal.ktu.lt/index.php/elt/article/view/20982thresholdingbinarizationdocument image analysishistogram analysisold documents analysishandwritten and printed documentsbackground estimationmedian filter.
spellingShingle Mehdi Khitas
Lahcene Ziet
Saad Bouguezel
Improved Degraded Document Image Binarization Using Median Filter for Background Estimation
Elektronika ir Elektrotechnika
thresholding
binarization
document image analysis
histogram analysis
old documents analysis
handwritten and printed documents
background estimation
median filter.
title Improved Degraded Document Image Binarization Using Median Filter for Background Estimation
title_full Improved Degraded Document Image Binarization Using Median Filter for Background Estimation
title_fullStr Improved Degraded Document Image Binarization Using Median Filter for Background Estimation
title_full_unstemmed Improved Degraded Document Image Binarization Using Median Filter for Background Estimation
title_short Improved Degraded Document Image Binarization Using Median Filter for Background Estimation
title_sort improved degraded document image binarization using median filter for background estimation
topic thresholding
binarization
document image analysis
histogram analysis
old documents analysis
handwritten and printed documents
background estimation
median filter.
url http://eejournal.ktu.lt/index.php/elt/article/view/20982
work_keys_str_mv AT mehdikhitas improveddegradeddocumentimagebinarizationusingmedianfilterforbackgroundestimation
AT lahceneziet improveddegradeddocumentimagebinarizationusingmedianfilterforbackgroundestimation
AT saadbouguezel improveddegradeddocumentimagebinarizationusingmedianfilterforbackgroundestimation