This article describes the results of a case study that applies Neural Network-based Optical
Character Recognition (OCR) to scanned images of books printed between 1487 and 1870 …

This paper deals with the application of OCR methods to historical printings of Latin texts.
Whereas the problem of recognizing historical printings of modern languages has been the …

This paper describes a work-flow designed to populate a digital library of ancient Greek
critical editions with highly accurate OCR scanned text. While the most recently available …

Good OCR results for historical printings rely on the availability of recognition models trained
on diplomatic transcriptions as ground truth, which is both a scarce resource and time …

This paper describes a document recognition system for the modern neume based notation
of Byzantine music. We propose algorithms for page segmentation, lyrics removal …

The aim of this work is the application of techniques developed in the domain of corpus
linguistics to a collection of ancient Greek texts, taking into account not only the canonical …

This article describes JECT-OMR, a system that analyzes digital images representing scans
of multiple-choice tests compiled by students. The system performs a structural analysis of …

Due to its flexibility, the Gamera framework for document analysis and recognition has been
used in the past primarily for very specific document types like ancient scripts and music …

This chapter examines three projects that provide musicologists with a range of resources
for managing and exploring their materials: DIAMM (Digital Image Archive of Medieval …

Digital Libraries can grow along two different dimensions: breadth and depth. In the first
case, works of many authors extend the existing collections. In the second case, different …