International Journal on Document Analysis and Recognition

SJR Rank #13,229H-index: 64SJR: 0.440Best quartile: Q2Open AccessAPC: US$3,090
Journal website: aims, scope and author guidelines
Publisher

Springer Verlag

Country

Germany

Type

journal

SJR by Edition

2022202500.20.40.60.8

Subject Categories

  • Computer Vision and Pattern RecognitionQ2
  • Computer Science ApplicationsQ3
  • SoftwareQ3

Areas: Computer Science

Most published research topics

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

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs0255075100

Documents per Year

20222025020406080

Detailed Information

ISSN

1433-2825, 1433-2833

SJR Best Quartile

Q2

Region

Western Europe

Citations per Document (2 years)

2.48

References per Document

52.01

Coverage

1998-2026

Scope

The large number of existing documents and the production of a multitude of new ones every year raise important issues in efficient handling, retrieval and storage of these documents and the information which they contain. This has led to the emergence of new research domains dealing with the recognition by computers of the constituent elements of documents - including characters, symbols, text, lines, graphics, images, handwriting, signatures, etc. In addition, these new domains deal with automatic analyses of the overall physical and logical structures of documents, with the ultimate objective of a high-level understanding of their semantic content. We have also seen renewed interest in optical character recognition (OCR) and handwriting recognition during the last decade. Document analysis and recognition are obviously the next stage. Automatic, intelligent processing of documents is at the intersections of many fields of research, especially of computer vision, image analysis, pattern recognition and artificial intelligence, as well as studies on reading, handwriting and linguistics. Although quality document related publications continue to appear in journals dedicated to these domains, the community will benefit from having this journal as a focal point for archival literature dedicated to document analysis and recognition.

Metrics from SCImago Journal Rank 2025. View on SCImago