Call for Papers: 8th International Workshop on Historical Document Imaging and Processing (HIP’26) at ICDAR 2026

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Clemens Neudecker

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Mar 10, 2026, 5:41:42 AMMar 10
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***Apologies for cross-posting***


Website: https://blog.sbb.berlin/hip2026/#info 

Submission deadline: 22 May 2026 (Anywhere on Earth)

Submission link: https://cmt3.research.microsoft.com/HIP2026 

Workshop: 3 September 2026

Venue: Vienna, Austria

 

> Description


The HIP workshop brings together researchers working with historical documents and intends to be complementary and synergistic to the work in analysis and recognition featured in the main sessions of ICDAR, the premier international forum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. It is the eighth workshop dedicated to this topic, following HIP’11 in Beijing, HIP’13 in Washington, HIP’15 in Nancy, HIP’17 in Kyoto and HIP’19 in Sydney, HIP’21 in Lausanne and HIP’23 in San José. The workshop is planned for 1½-days with oral presentations on September 3rd, and an excursion (to be confirmed) on September 4th. Each submission will undergo peer-review and distinguished submissions will be presented orally and included for publication in the official ICDAR proceedings with LNCS.


Recent advances in generative AI, including foundation models for vision and language, open new opportunities for restoration, transcription, and content extraction from historical documents, while raising important questions about reliability and efficiency. The workshop welcomes contributions using all methodological approaches, from classical techniques to machine learning and generative models. 


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 


Visit HIP past editions’ program for more information.


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


> Submission instructions:


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 submission guidelines and template provided. Acceptance notifications will be sent out 22 June 2026.


> Important dates:

  • Submission Deadline: 22 May 2026

  • Acceptance Notification: 22 June 2026

  • Camera Ready: 29 June 2026

  • Workshop: 3 September 2026

> Organizers:

Clemens Neudecker (General Chair)

Apostolos Antonacopoulos (HIP Series Chair)

Christian Clausner (Program Chair)

Maud Ehrmann (Program Chair)

Kai Labusch (Publication Chair)

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