DocPRESERV – Preserving & Processing Historical Document Images with Artificial Intelligence

Preserving and sharing access to our documentary heritage, which represents a living and collective memory of our communities, is very important. Digital archives of handwritten forms currently have no feasible or practical means of searching for access.

Aim of the project

The project aims to investigate and implement a suitable ICT-based system to provide real access to the digitized archival documents and provide a growing community of users with automated tools for the recognition, transcription and indexing of handwritten archival documents.

Implementation of the project

The main idea of the project is to provide AI-based solutions to make digital historical handwritten documents more accessible.

The challenge lies in the fact that digitized documents are of very complex structure and exhibit varying writing styles due to different authors or ages among other issues.

The project will drive innovation in historical handwritten document analysis and recognition and will develop innovative tools to improve the capabilities of historical document processing and retrieval.

Financier: STINT

Status: Ended

Area: Computer Science

Project start: 2021-05-01

Project end: 2022-04-29

Contact person: Abbas Cheddad

Project manager
Abbas Cheddad

Senior Lecturer/Docent

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