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After decades of massive digitisation, an unprecedented amount historical documents is available in digital format, along with their machine-readable texts.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...

Abstract Identifying the writer of a handwritten document has remained an interesting pattern classification problem for examiners, forensic experts, and paleographers. While mature identification systems have been developed handwriting in contemporary documents, remains challenging from viewpoint historical manuscripts. Design development expert that can identify questioned manuscript or retri...

In this paper, we evaluated the Document Attention Network (DAN), first end-to-end segmentation-free architecture on Historical Russian Documents. The DAN model jointly recognizes both text and layout from whole documents, it takes documents any size as an input output well logical tokens. For comparison purposes, conduct our experiments Digital Peter dataset has been recognized at line-level. ...

there are only a few old elamite documents available today; however there are more than 500 legal documents from susa, written in akkadian, that provide us with a unique chance to study legal and social institutions of elam in the sukkalmah period. the present study will edit and translate three lease documents from the sukkalmah period, which are known as esip-tabal contracts. a comparative st...