2014 · 15 citations · 10 references
ComputingArabicComputer ScienceComputer VisionDigital ImagingImage InterpretationDigital Image ProcessingDigital Signal ProcessingDocument Image AnalysisImage EnhancementImage ProcessingDiscrete Fourier TransformDocument BinarizationDocument Image EnhancementDocument Image PreprocessingNoisy Image Recognition
This paper proposes a new pre-processing approach to a sequence of binarization process, by applying the discrete cosine transform (DCT) to document image prior to binarization. This procedure can be used as a complement or alternative to denoising process used in many binarization methods. Firstly, original document images are transformed by the DCT. Then, the transformed document images are passed to standard image binarization methods, namely Otsu, Niblack, Sauvola and NICK. Secondly, original document images are directly binarized by the same methods. Then performance of the latter are compared with that of the former in terms of recall and precision. Performance evaluation are conducted by using noiseless and noisy ancient Indonesian documents with Arabic characters. It turns out that this pre-processing procedure improves binarization performance, especially for noisy documents.
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Adaptive document image binarization
J. Sauvola, Matti Pietikäinen · Pattern Recognition · 2000 · 2.3K citations
Adaptive degraded document image binarization
Basilis Gatos, Ioannis Pratikakis, Stavros Perantonis · Pattern Recognition · 2005 · 585 citations