Sampling Local Binary Patterns, a variant of Local Binary Patterns (LBP) for text-as-texture
classification. By adapting and extending the standard LBP operator to the particularities of …

The use of different texture-based methods is pervasive in different subfields and tasks of
document image analysis (DIA) and particularly in historical DIA (HDIA). Nevertheless, faced …

In this article we present a web service framework providing automatic document processing
methods to the public. Furthermore, an assessment environment and sample applications …

Layout analysis and optical character recognition have become traditional tasks for
processing historical prints, but are now insufficient. Additional information is found in …

Due to the idiosyncrasies of historical document images (HDI), growing attention over the
last decades is being paid for proposing robust HDI analysis solutions. Many research …

In this paper we investigate the importance of individual features for the task of document
layout analysis, in particular for the classification of the document pixels. The feature set …

When converting historical lexica into electronic form the goal is not only to obtain a high
quality OCR result for the text but also to perform a precise automatic recognition of …

Arabic text recognition systems encounter many difficulties in processing multi-font and multi-
size text images. Some Arabic font families introduce complex variability such as overlaps …

In this paper, we investigate the usage of fine-grained font recognition on OCR for books
printed from the 15th to the 18th century. We used a newly created dataset for OCR of early …

Abstract Optical Character Recognition (OCR) on historical printings is a challenging task
mainly due to the complexity of the layout and the highly variant typography. Nevertheless …