There is a plethora of methods, tools and resources for processing text in the English
language, however this is not the case for other languages, like Greek. Due to the increasing …

Along with the explosive growth of the amount of handwritten documents that are preserved,
processed and accessed in a digital form, handwritten document images word spotting has …

This paper presents a systematic literature review of image datasets for document image
analysis, focusing on historical documents, such as handwritten manuscripts and early …

This paper introduces a publicly available historical manuscript database DIVA-HisDB for
the evaluation of several Document Image Analysis (DIA) tasks. The database consists of …

Abstract Document Layout Analysis, which is the task of identifying different semantic
regions inside of a document page, is a subject of great interest for both computer scientists …

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 …

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 …

The recognition of symbols within document images is one of the most relevant steps
involved in the Document Analysis field. While current state-of-the-art methods based on …

This paper reports on high-performance Optical Character Recognition (OCR) experiments
using Long Short-Term Memory (LSTM) Networks for Greek polytonic script. Even though …

In this paper we present a novel descriptor and method for segmentation-based keyword
spotting. We introduce Zoning-Aggregated Hypercolumn features as pixel-level cues for …