With the new interest in historical documents insight grew that electronic access to these texts causes many specific problems. In the first part of the paper we survey the present role of digital historical documents. After collecting central facts and observations on historical language change we comment on the difficulties that result for retrieval and data mining on historical texts. In the...

..................................................................................................................................................... i Dedication.................................................................................................................................................. iii Acknowledgments .......................................................................

Due to historical features and the heterogeneity of economic landscape, regions Russia are
 characterized by significant disparities in level socioeconomic development. In order manage
 regional development, a number important strategic documents have been adopted, including the
 Spatial Development Strategy. The tasks supporting problem developing largest
 agglomerations ar...

Poor quality documents are obtained in various situations such as historical document collections, legal archives, security investigations, and documents found in clandestine locations. Such documents are often scanned for automated analysis, further processing, and archiving. Due to the nature of such documents, degraded document images are often hard to read, have low contrast, and are corrup...

Text line extraction is an essential preprocessing step in many handwritten document image analysis tasks. It includes detecting text lines a and segmenting the regions of each detected line. Deep learning-based methods are frequently used for detection. However, only limited number tackle problems detection segmentation together. This paper proposes holistic method that applies Mask R-CNN extr...

Digitization and transcription of historic documents offer new research opportunities for humanists are the topics many edition projects. However, manual work is still required main phases layout recognition subsequent optical character (OCR) early printed documents. This paper describes evaluates how deep learning approaches recognize text lines can be extended to using background knowledge. T...

After decades of massive digitisation, an unprecedented amount historical documents is available in digital format, along with their machine-readable texts. While this represents a major step forward respect to preservation and accessibility, it also opens up new opportunities terms content mining the next fundamental challenge develop appropriate technologies efficiently search, retrieve explo...