The journal focuses on the automated analysis and recognition of documents, particularly historical ones. This includes tasks such as handwritten text recognition, character classification, and information extraction from various document types like manuscripts, maps, and seals. A significant emphasis is placed on developing robust computational methods that can handle challenges like degraded documents, diverse writing styles, and limited training data, often employing deep learning and synthetic data generation techniques.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Computer Vision and Pattern RecognitionQ1
Computer Science ApplicationsQ2
SoftwareQ2
Subject Classification
Web of Science Categories
Computer Science, Artificial Intelligence
Scopus Categories
Computer Science ApplicationsComputer Vision and Pattern RecognitionSoftware
Research Topics (OpenAlex)
Handwritten Text Recognition TechniquesImage Retrieval and Classification TechniquesImage Processing and 3D ReconstructionNatural Language Processing TechniquesAdvanced Image and Video Retrieval TechniquesVehicle License Plate RecognitionText and Document Classification TechnologiesImage and Object Detection TechniquesTopic ModelingDigital Media Forensic Detection