Enhancement of Historical Document Images by Combining Global and Local Binarization Technique
Keywords:
Historical document, binarization, global and local threshold, word spotting.Abstract
In this paper we present a combined binarization
technique for historical document images. Usually, many
binarization techniques are implemented in the literature for
different types of binarization problems. The few simple
available thresholding methods cannot be applied to many
binarization problems. In order to improve the quality of
historical document images, we propose a combined approach
based on global and local thresholding methods. The method
was evaluated on the benchmarking dataset used in the
Handwritten Document Image Binarization Contest (H-DIBCO
2012) and an Arabic historical document from National Library
of Algeria. The evaluation based on the word spotting system
showed the efficiently of our approach.
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