Document layout analysis (DLA) is a preprocessing step of document understanding
systems. It is responsible for detecting and annotating the physical structure of documents …

Rectifying the orientation of scanned documents has been an important problem that was
solved long ago. In this paper, we focus on the harder case of estimating and correcting the …

Document skew estimation and correction is a regular issue in scanned document images. It
is an active research area in the domain of document analysis and recognition. Literature is …

How an image is represented as the input of a convolutional neural network (CNN) is
important because this input directly influences the performance of the CNN. In this paper …

The reconstruction of destroyed paper documents became of more interest during the last
years. On the one hand it (often) occurs that documents are destroyed by mistake while on …

In large scale document digitization, orientation detection plays an important role, especially
in the scenario of digitizing incoming mail. The heavy use of automatic document feeding …

A major preprocessing step in a multi-script OCR is to identify the script type of the test
document image. The published papers on script identification usually assume that the test …

Reliable and generic methods for skew detection are a necessity for any large-scale
digitization projects. As one of the first processing steps, skew detection and correction has a …

Skew correction of scanned documents is a crucial step for document recognition systems.
Due to the problem of high computational costs of the state-of-the-art methods, we present …

Image analysis is an interesting research area with a large variety of challenging
applications. Researchers have worked from decades on this topic, as witnessed by the …