Call for Papers

It is our pleasure to announce that the 8th International Workshop on Historical Document Imaging and Processing (HIP’26) will be held in conjunction with ICDAR2026, on September 3rd, 2026 in Vienna, Austria.

The workshop brings together researchers working with historical documents and intends to be complementary and synergistic to the work in analysis and recognition featured in the main sessions of ICDAR, the premier international forum for researchers and practitioners in the document analysis community.

Submissions are received until 22 May 2026 (Time zone: Anywhere on Earth) via CMT and undergo review by the members of the Program Committee.

Submissions must follow the ICDAR guidelines and template provided. It is not required to anonymize the submission, but authors are welcome to do so if they prefer it. Acceptance notifications will be sent out 22 June 2026, with camera ready submissions due on 29 June 2026.

Workshop topics include (but are not limited to):

Imaging and Image Acquisition

•  Imaging for fragile materials
•  Multispectral imaging
•  Camera-based/non-invasive acquisition
•  Case studies/applications

Digital Archiving Considerations

• Compression issues
• Measuring essential resolution (colour, spatial) and metadata
• Modelling of document image degradation
• Historical Collections
• Military records, personal journals, church records, medieval manuscripts, etc.
• Scientific, technical and educational documents
• Government archives, documents from the world cultural heritage, multi-language

Document Restoration/Improving readability

• Removing or minimizing damages, defects, ink-bleed
• Completing and filling in missing pieces based on context, prior knowledge
• Machine-learning algorithms for enhancement based on example images
• Interactive tools from a user viewpoint
• Learning from user-directed image enhancement

Document Content Acquisition and Information Extraction (within the context of historical documents)

• Automated or semi-automated transcription (OCR, OLR)
• Machine-learning algorithms for content extraction, including recurrent neural networks, auto-encoders, transformers, and unsupervised feature learning
• Content recognition based on surrounding and supporting context
• Annotation
• Evaluation metrics and methods
• Ontologies for modelling historical document content
• Content-based retrieval

Family History Documents and Genealogies

• Personal, Family, National and Historical Collections of Family Genealogy and Histories
• Extracting and linking names, dates, places, etc.
• Extracting, linking and piecing together personal and family histories and narratives
• Discovering historical social networks

Automated Classification, Grouping and Hyperlinking of Historical Documents

• Style identification (of printed text/handwriting, dating or author identification)
• Searching for Documents over the Internet
• Web-based navigation within/among document images
• Search/query, retrieval, summarization or condensation of document images
• Document collecting, clustering, linking and analysis technologies
• Parallel tagging of images, transcripts, and other document layers

Digital Humanities applications of document analysis and recognition

•  Computer Vision for Computational History
•  Digital methods and tools for the study of historical documents
•  Crowdsourcing

Artificial Intelligence and Machine Learning for historical documents

• VLMs and LLMs for analysis and recognition of historical source materials
• Training, fine-tuning and evaluation of specialized AI models
• Prompt strategies for historical data and contexts

For work focusing on handwriting/paleography, we recommend you have a look at IWCP: 4th International Workshop on Computational Paleography.

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.