Khairun Saddami, Khairul Munadi, Yuwaldi Away, Fitri Arnia
Ancients document usually contains multiple noises such as uneven-background, show-through, water-spilling, spots, and blur text. The noise will affect the binarization process. Binarization is an extremely important process in image processing, especially for character recognition. This paper presents an improvement to Nina binarization technique. Improvements were achieved by reducing processing steps and replacing median filtering by Wiener filtering. First, the document background was approximated by using a Wiener filter, and then image subtraction was applied. Furthermore, the manuscript contrast was adjusted by mapping intensity of image value using the intensity transformation method. Next, the local Otsu thresholding was applied. For removing spotting noise, we applied labelled connected component. The proposed method had been testing on H-DIBCO 2014 and degraded Jawi handwritten ancient documents. It performed better regarding recall and precision values, as compared to Otsu, Niblack, Sauvola, Lu, Su, and Nina, especially in the documents with show-through, water-spilling and combination noises. Copyright © 2019 Institute of Advanced Engineering and Science. All rights reserved.
Postgraduate Program in Engineering, Syiah Kuala University, Indonesia; Department of Electrical and Computer Engineering, Syiah Kuala University, Indonesia; Department of Electrical and Computer Engineering, Faculty of Engineering, Syiah Kuala University, Jl. Syech Abdurrauf No.7, Banda Aceh, Indonesia
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