Journal ArticleDOI
Gabor filter-based texture for ancient degraded document image binarization
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TLDR
A new simple threshold-based method is proposed for binarization of ancient degraded documents by exploiting texture information features extracted from both the filtered image using the Gabor filter and the original degraded document.Abstract:
Binarization of ancient degraded document images is a very important step for their preservation and digital use. In this paper, a new simple threshold-based method is proposed for binarization of ancient degraded documents. The proposed method is inspired from the most popular threshold-based methods by exploiting texture information features extracted from both the filtered image using the Gabor filter and the original degraded document. Firstly, a preprocessing stage using the Wiener filter is performed on the degraded image for facilitating the binarization. Then, a Gabor filter bank is weighted according to the dominant slant of the document’s image script for estimating the binarization threshold. Finally, a post-processing stage is applied based on morphological operator for reducing some artifacts. For setting optimal parameters, a new protocol is proposed in the design stage by taking into account the degradation type. Exhaustive experiments are achieved using standard DIBCO datasets series reorganized according to the degradation type and the year of contest. Obtained results are compared against various well-known threshold-based methods. On the other hand, a comparison is achieved with the state-of-the-art methods. Promising results and stability are noticed for the proposed technique, specifically for ink bleed-through degradation and low-contrasted documents.read more
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References
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Journal ArticleDOI
Survey over image thresholding techniques and quantitative performance evaluation
Mehmet Sezgin,Bulent Sankur +1 more
TL;DR: 40 selected thresholding methods from various categories are compared in the context of nondestructive testing applications as well as for document images, and the thresholding algorithms that perform uniformly better over nonde- structive testing and document image applications are identified.
Journal ArticleDOI
A new method for gray-level picture thresholding using the entropy of the histogram
TL;DR: Two methods of entropic thresholding proposed by Pun (Signal Process.,2, 1980, 223–237;Comput.16, 1981, 210–239) have been carefully and critically examined and a new method with a sound theoretical foundation is proposed.
Journal ArticleDOI
Adaptive document image binarization
Jaakko Sauvola,Matti Pietikäinen +1 more
TL;DR: A new method is presented for adaptive document image binarization, where the page is considered as a collection of subcomponents such as text, background and picture, which adapts and performs well in each case qualitatively and quantitatively.