Illumination compensation for document images using local-global block analysis

This paper presents the illumination compensation technique for document images using local-global block analysis. Imbalance illumination will affect the performance of classification and segmentation process because the darker regions conceal the information of the image. This method will split the...

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Main Authors: Azmi, Mohd Hafrizal, Saripan, M. Iqbal, Raja Abdullah, Raja Syamsul Azmir
Format: Conference or Workshop Item
Language:English
Published: Springer 2009
Online Access:http://psasir.upm.edu.my/id/eprint/15096/1/Illumination%20compensation%20for%20document%20images%20using%20local-global%20block%20analysis.pdf
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author Azmi, Mohd Hafrizal
Saripan, M. Iqbal
Raja Abdullah, Raja Syamsul Azmir
author_facet Azmi, Mohd Hafrizal
Saripan, M. Iqbal
Raja Abdullah, Raja Syamsul Azmir
author_sort Azmi, Mohd Hafrizal
collection UPM
description This paper presents the illumination compensation technique for document images using local-global block analysis. Imbalance illumination will affect the performance of classification and segmentation process because the darker regions conceal the information of the image. This method will split the image into non-overlapped blocks, and utilize the information within the local and global area of the image. The output images were binarized with simple global thresholding technique and the result shows that the output image is comparable in quality with the existed method. A comparative result will be presented with other document binarization methods.
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spelling upm.eprints-150962019-05-09T01:23:53Z http://psasir.upm.edu.my/id/eprint/15096/ Illumination compensation for document images using local-global block analysis Azmi, Mohd Hafrizal Saripan, M. Iqbal Raja Abdullah, Raja Syamsul Azmir This paper presents the illumination compensation technique for document images using local-global block analysis. Imbalance illumination will affect the performance of classification and segmentation process because the darker regions conceal the information of the image. This method will split the image into non-overlapped blocks, and utilize the information within the local and global area of the image. The output images were binarized with simple global thresholding technique and the result shows that the output image is comparable in quality with the existed method. A comparative result will be presented with other document binarization methods. Springer 2009 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/15096/1/Illumination%20compensation%20for%20document%20images%20using%20local-global%20block%20analysis.pdf Azmi, Mohd Hafrizal and Saripan, M. Iqbal and Raja Abdullah, Raja Syamsul Azmir (2009) Illumination compensation for document images using local-global block analysis. In: First International Visual Informatics Conference (IVIC 2009), 11-13 Nov. 2009, Kuala Lumpur, Malaysia. (pp. 636-644). https://link.springer.com/chapter/10.1007%2F978-3-642-05036-7_60 10.1007/978-3-642-05036-7_60
spellingShingle Azmi, Mohd Hafrizal
Saripan, M. Iqbal
Raja Abdullah, Raja Syamsul Azmir
Illumination compensation for document images using local-global block analysis
title Illumination compensation for document images using local-global block analysis
title_full Illumination compensation for document images using local-global block analysis
title_fullStr Illumination compensation for document images using local-global block analysis
title_full_unstemmed Illumination compensation for document images using local-global block analysis
title_short Illumination compensation for document images using local-global block analysis
title_sort illumination compensation for document images using local global block analysis
url http://psasir.upm.edu.my/id/eprint/15096/1/Illumination%20compensation%20for%20document%20images%20using%20local-global%20block%20analysis.pdf
work_keys_str_mv AT azmimohdhafrizal illuminationcompensationfordocumentimagesusinglocalglobalblockanalysis
AT saripanmiqbal illuminationcompensationfordocumentimagesusinglocalglobalblockanalysis
AT rajaabdullahrajasyamsulazmir illuminationcompensationfordocumentimagesusinglocalglobalblockanalysis