Ancient languages preserve the cultures and histories of the past. However, their study is
fraught with difficulties, and experts must tackle a range of challenging text-based tasks, from …

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analysis, focusing on historical documents, such as handwritten manuscripts and early …

Nowadays, deep learning methods are employed in a broad range of research fields. The
analysis and recognition of historical documents, as we survey in this work, is not an …

Offline writer identification plays an important role in forensic document examination and
historical document analysis. Today, challenges still exist in historical writer identification …

Identifying the writer of a handwritten document has remained an interesting pattern
classification problem for document examiners, forensic experts, and paleographers. While …

With the growth of artificial intelligence techniques the problem of writer identification from
historical documents has gained increased interest. It consists on knowing the identity of …

Writer identification form historical manuscripts presents a challenging problem with
significant implications for understanding the authorship of ancient texts. In this paper, we …

This competition succeeds upon a line of competitions for writer and style analysis of
historical document images. In particular, we investigate the performance of large-scale …

This paper explores the use of attributes for document image querying and retrieval. Existing
document image retrieval techniques present several drawbacks: textual searches are …

In the context of automated classification of historical documents, we investigate three
contemporary self-supervised learning (SSL) techniques (SimSiam, Dino, and VICReg) for …