HIP

Together with critical editions and translations, commentaries are one of the main genres of publication in literary and textual scholarship, and have a century-long tradition. Yet, the exploitation of thousands of digitized historical commentaries was ...

In order to apply Optical Character Recognition (OCR) to historical printings of Latin script fully automatically, we report on our efforts to construct a widely-applicable polyfont recognition model yielding text with a Character Error Rate (CER) ...

The millions of pages of historical documents that are digitized in libraries are increasingly used in contexts that have more specific requirements for OCR quality than keyword search. How to comprehensively, efficiently and reliably assess the ...

This paper presents the method which we submitted to the competition of Historical Map Segmentation, in ICDAR’21. The goal is to segment document images of Paris maps from the beginning of the 20th century: delineate the content of the map and locate ...

Historical maps include precious data about historical, geographical and economic perspectives of a period. However, several unique challenges and opportunities accompany historical maps compared to modern maps, such as low-quality images, degraded ...

The segmentation of complex images into semantic regions has seen a growing interest these last years with the advent of Deep Learning. Until recently, most existing methods for Historical Document Analysis focused on the visual appearance of documents, ...

Layout analysis and optical character recognition have become traditional tasks for processing historical prints, but are now insufficient. Additional information is found in typographic emphasis, such as bold and italic letters. They carry semantic ...

This paper presents a new dataset of Peter the Great’s manuscripts and describes a segmentation procedure that converts initial images of documents into lines. This new dataset may be useful for researchers to train handwriting text recognition models ...

Understanding and extracting tables from documents is a research problem that has been studied for decades. Table structure recognition is the labelling of components within a detected table, which can be detected automatically or manually provided. ...

Conventional template matching for named entity recognition on book-length text strings is generalized by allowing search phrases to capture distant tokens. Combined with word-type tagging and format variants (alternative name/date formats), a few ...

The paper presents Open Source generalized models for recognition and page segmentation, intended for use on the eScriptorium platform or kraken OCR engine, of Medieval Hebrew manuscripts in square script that arrive at a character accuracy of more ...

Chapbooks were short, cheap printed booklets produced in large quantities in Scotland, England, Ireland, North America and much of Europe between roughly the seventeenth and nineteenth centuries. A form of popular literature containing songs, stories, ...