Automatic Handwriting Identification on Medieval Documents

Authors:
Marius Bulacu;Lambert Schomaker
Affiliations:
University of Groningen, The Netherlands;University of Groningen, The Netherlands
Venue:
ICIAP '07 Proceedings of the 14th International Conference on Image Analysis and Processing
Year:
2007

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Abstract

In this paper, we evaluate the performance of text-independent writer identification methods on a handwriting dataset containing medieval English documents. Applicable identification rates are achieved by combining textural features (joint directional probability distributions) with allographic features (grapheme-emission distributions). The aim is to develop an automatic handwriting identification tool that can assist the paleographer in the task of determining the authorship of historical manuscripts.