Date Recognition in Historical Parish Records

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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.

TitelFrontiers in Handwriting Recognition : 18th International Conference, ICFHR 2022, Hyderabad, India, December 4–7, 2022, Proceedings
RedaktørerUtkarsh Porwal, Alicia Fornés, Faisal Shafait
ISBN (Trykt)9783031216473
StatusUdgivet - 2022
Begivenhed18th International Conference on Frontiers in Handwriting Recognition, ICFHR 2022 - Hyderabad, Indien
Varighed: 4 dec. 20227 dec. 2022


Konference18th International Conference on Frontiers in Handwriting Recognition, ICFHR 2022
NavnLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vol/bind13639 LNCS

Bibliografisk note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

ID: 338602124