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Towards Style-Based Dating of Historical Documents

Authors :
Lambertus Schomaker
Sheng He
J.W.J. Burgers
Petros Samara
ASH (FGw)
Artificial Intelligence
Source :
ICFHR, Proceedings: 14th International Conference on Frontiers in Handwriting Recognition: ICFHR 2014: 1-4 September 2014, Hersonissos, Crete Island, Greece, 265-270, STARTPAGE=265;ENDPAGE=270;TITLE=Proceedings: 14th International Conference on Frontiers in Handwriting Recognition: ICFHR 2014: 1-4 September 2014, Hersonissos, Crete Island, Greece, 14th International Conference on Frontiers in Handwritten Recognition
Publication Year :
2014
Publisher :
IEEE, 2014.

Abstract

Estimating the date of undated medieval manuscripts by evaluating the script they contain, using document image analysis, is helpful for scholars of various disciplines studying the Middle Ages. However, there are, as yet, no systems to automatically and effectively infer the age of historical scripts using machine learning methods. To build a system to date medieval documents is a challenging problem in several aspects: 1) As yet, no suitable reference dataset of medieval handwriting exists; 2) relatively little is known about the evolution of writing styles in the Middle Ages, and especially in the later Middle Ages. Our Medieval Paleographic Scale (MPS) project aims at solving these problems. We have collected a corpus of charters from the Medieval Dutch language area, dating from the period 1300 to 1550. A global and local regression method is proposed for learning and estimating the year in which these documents were written, using several features which have been successfully used in writer identification. The proposed system can serve as a basic tool for the medievalist or paleographer. The experimental results of the proposed method demonstrate its effectiveness. Keywords—Medieval Paleographic Scale, historical document dating, age estimation, global and local regression

Details

Database :
OpenAIRE
Journal :
2014 14th International Conference on Frontiers in Handwriting Recognition
Accession number :
edsair.doi.dedup.....bb2c5d81cbf44bec32708e775f02f858
Full Text :
https://doi.org/10.1109/icfhr.2014.52