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- W3111216519 abstract "Lampung characters are one of the region-heritage characters from Indonesia. However, the current trend makes these characters becoming unknown. The concern about the extinction of these characters makes several researchers tried to digitized the documents which contained Lampung Character. Nevertheless, the process of digitalization is not free from noise. This problem makes us want to handle the noise from the scanned documents using binarization and noise removal techniques, especially in Lampung characters' documents. In this paper, we implemented local adaptive thresholding using the Niblack method and the Sauvola method for thresholding value. We also implemented Adaptive Wavelet Thresholding for Bayes Shrink for removing salt and pepper noise from the binarization process. The result showed that the Sauvola thresholding gives better results compared to Niblack thresholding. Our contribution in this paper is the implementation of both processes in Lampung Characters document" @default.
- W3111216519 created "2020-12-21" @default.
- W3111216519 creator A5034800933 @default.
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- W3111216519 date "2020-09-15" @default.
- W3111216519 modified "2023-09-26" @default.
- W3111216519 title "Local Adaptive Thresholding Techniques for Binarizing Scanned Lampung Aksara Document Images" @default.
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- W3111216519 doi "https://doi.org/10.1109/ic2ie50715.2020.9274658" @default.
- W3111216519 hasPublicationYear "2020" @default.
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