An optical character recognition (OCR) system plays an important role in the digitization of
ancient handwritten text document. Various adversaries of ancient documents such as ink …

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 …

Any optical character recognition (OCR) system recognizes each and every character
present in any document image. But, the task of performing OCR in ancient handwritten …

This paper introduces a new publicly available image-based Swedish historical handwritten
character and word dataset named C haracter Ar kiv D igital S weden (CArDIS)(https …

Digitization and Recognition of handwritten documents have become popular with the
growth of advances in Computing. Even after the introduction of new technologies …

An optical character recognition (OCR) system segments the character from the given
document before recognizing it. The recognition of such character images requires the class …

Deep Neural Networks (DNN) are now widely used in computer vision, due to their recent
success in large-scale image classification. Despite the impressive performance of DNN in …

This paper presents the development and implementation of a robust OCR tool and a
related comprehensive workflow for the recognition of Greek printed polytonic scripts. This …

A wealth of knowledge is kept in libraries and cultural institutions in various digital forms
without, however, the possibility of a simple term search, let alone of a substantial semantic …

Background: To preserve valuable sources and cultural heritage, digitization of handwritten
characters is crucial. For this, Optical Character Recognition (OCR) systems were introduced …