The rapid emergence of new portable capturing technologies has significantly increased the
number and diversity of document images acquired for business and personal applications …

To maintain, control and enhance the quality of document images and minimize the negative
impact of degradations on various analysis and processing systems, it is critical to …

This paper presents a novel iterative deep learning framework and applies it to document
enhancement and binarization. Unlike the traditional methods that predict the binary label of …

In this work, a multi-scale binarization framework is introduced, which can be used along
with any adaptive threshold-based binarization method. This framework is able to improve …

Hyperspectral imaging (HSI) of historical documents is becoming more common at national
libraries and archives. HSI is useful for many tasks related to document conservation and …

Most digital libraries that provide user-friendly interfaces, enabling quick and intuitive access
to their resources, are based on Document Image Analysis and Recognition (DIAR) …

Document image binarization is one important pre-processing step, especially for data
analysis. Extraction of text from images and its recognition may be challenging due to the …

Document image binarization is one important processing step, especially for data analysis.
In this paper, a new binarization based local thresholding technique'WAN'was presented …

In this paper, we present an adaptive method for the binarization of historical manuscripts
and degraded document images. The proposed approach is based on maximum likelihood …

Document image binarization is a difficult task, especially for complex document images.
Nonuniform background, stains, and variation in the intensity of the printed characters are …