Date Recognition in Historical Parish Records
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
In Northern Europe, parish records provide centuries of lineage information, useful not only for settling inheritance disputes, but also for studying hereditary diseases, social mobility, etc. The key information to extract from scans of parish records to obtain lineage information is dates: birth dates (of children and their parents) and dates of baptisms. We present a new dataset of birth dates from Danish parish records and use it to benchmark different approaches to handwritten date recognition, some based on classification and some based on transduction. We evaluate these approaches across several experimental protocols and different segmentation strategies. A state-of-the-art transformer-based transduction model exhibits lower error rates than image classifiers in most scenarios. The image classifiers can nevertheless offer a compelling trade-off in terms of accuracy and computational resource requirements.
Original language | English |
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Title of host publication | Frontiers in Handwriting Recognition : 18th International Conference, ICFHR 2022, Hyderabad, India, December 4–7, 2022, Proceedings |
Editors | Utkarsh Porwal, Alicia Fornés, Faisal Shafait |
Publisher | Springer |
Publication date | 2022 |
Pages | 49-64 |
ISBN (Print) | 9783031216473 |
DOIs | |
Publication status | Published - 2022 |
Event | 18th International Conference on Frontiers in Handwriting Recognition, ICFHR 2022 - Hyderabad, India Duration: 4 Dec 2022 → 7 Dec 2022 |
Conference
Conference | 18th International Conference on Frontiers in Handwriting Recognition, ICFHR 2022 |
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Land | India |
By | Hyderabad |
Periode | 04/12/2022 → 07/12/2022 |
Series | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 13639 LNCS |
ISSN | 0302-9743 |
Bibliographical note
Funding Information:
Supported by Novo Nordisk Foundation (grant NNF 20SA0066568). L. C. Piqueras, C. Fierro, J. F. Lotz, and P. Rust—Equal Contribution.
Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
- Handwriting recognition, Parish records, Robustness, Transfer learning
Research areas
ID: 338602124