Historical document processing (HDP) corresponds to the task of converting the physical-
bind form of historical archives into a web-based centrally digitized form for their …

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analysis, focusing on historical documents, such as handwritten manuscripts and early …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analysis and recognition of historical documents, as we survey in this work, is not an …

Recognizing and organizing text in correct reading order plays a crucial role in historical
document analysis and preservation. While existing methods have shown promising …

Inscriptions on ancient steles, as carriers of culture, encapsulate the humanistic thoughts
and aesthetic values of our ancestors. However, these relics often deteriorate due to …

This paper introduces a new way for text-line extraction by integrating deep-learning based
pre-classification and state-of-the-art segmentation methods. Text-line extraction in complex …

Manual parsing of invoices is a tedious, arduous and error-prone task. Due to the academic
and business importance of this problem, it has attracted the attention of machine learning …

Ancient books are the cultural heritage of human civilization, among which there are quite a
few precious collections in China. However, compared to modern documents, the absence …

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 …

Abstract Recognition of ancient Korean–Chinese cursive character (Hanja) is a challenging
problem mainly because of large number of classes, damaged cursive characters, various …