Adaptive binarization method for enhancing ancient Malay manuscript images

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In order to transform ancient Malay manuscript images to be cleaner and more readable, enhancement must be performed as the images have different qualities due to uneven background, ink bleed, or ink bleed and expansion of spots. The proposed method for image improvement in this experiment consists of several stages, which are Local Adaptive Equalization, Image Intensity Values, K-Means Clustering, Adaptive Thresholding, and Median Filtering. The proposed method produces an adaptive binarization image. We tested the proposed method on eleven ancient Malay manuscript images. The proposed method has the smallest average value of Relative Foreground Area Error compared to the other state of the art methods. At the same time, the proposed method have produced the better results and better readability compared to the other methods.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages619-627
Number of pages9
Volume7106 LNAI
DOIs
Publication statusPublished - 2011
Event24th Australasian Joint Conference on Artificial Intelligence, AI 2011 - Perth, WA
Duration: 5 Dec 20118 Dec 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7106 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other24th Australasian Joint Conference on Artificial Intelligence, AI 2011
CityPerth, WA
Period5/12/118/12/11

Fingerprint

Binarization
Ink
Adaptive Thresholding
Experiments
Equalization
K-means Clustering
Filtering
Enhancement
Transform

Keywords

  • Automatic Threshold
  • Image Intensity Values
  • K-Means Clustering
  • Local Adaptive Equalization
  • Median Filtering

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Yahya, S. R., Sheikh Abdullah, S. N. H., Omar, K., & Liong, C. Y. (2011). Adaptive binarization method for enhancing ancient Malay manuscript images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7106 LNAI, pp. 619-627). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7106 LNAI). https://doi.org/10.1007/978-3-642-25832-9_63

Adaptive binarization method for enhancing ancient Malay manuscript images. / Yahya, Sitti Rachmawati; Sheikh Abdullah, Siti Norul Huda; Omar, Khairuddin; Liong, Choong Yeun.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7106 LNAI 2011. p. 619-627 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7106 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yahya, SR, Sheikh Abdullah, SNH, Omar, K & Liong, CY 2011, Adaptive binarization method for enhancing ancient Malay manuscript images. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 7106 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7106 LNAI, pp. 619-627, 24th Australasian Joint Conference on Artificial Intelligence, AI 2011, Perth, WA, 5/12/11. https://doi.org/10.1007/978-3-642-25832-9_63
Yahya SR, Sheikh Abdullah SNH, Omar K, Liong CY. Adaptive binarization method for enhancing ancient Malay manuscript images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7106 LNAI. 2011. p. 619-627. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-25832-9_63
Yahya, Sitti Rachmawati ; Sheikh Abdullah, Siti Norul Huda ; Omar, Khairuddin ; Liong, Choong Yeun. / Adaptive binarization method for enhancing ancient Malay manuscript images. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7106 LNAI 2011. pp. 619-627 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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