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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Adaptive Binarization Method for Enhancing Ancient Malay Manuscript Images
verfasst von : Sitti Rachmawati Yahya, Siti Norul Huda Sheikh Abdullah, Khairuddin Omar, Choong-Yeun Liong
Erschienen in: AI 2011: Advances in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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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.