The subject of paleography is the study of ancient documents. In particular, the paleographer's aim is to locate a document in a cultural environment and chronological interval in the past. Automatic writer identification is then a desirable tool for a paleographer as she/he gains useful information about the document at hand. However, the paleographer is often interested in methods which can be easily interpretable by humans. In this paper, we apply some state-of-the-art techniques devised for modern documents to the paleographic domain. Moreover, we propose new techniques and document representations with the aim at producing more understandable representation of a writing style. Experimental results have been performed on a large dataset of paleographic images and demonstrate the feasibility of the proposed approach, and the suitability of this tool on helping the paleographer's work.

A Study on the Writer Identification Task for Paleographic Document Analysis

AIOLLI, FABIO;GIOLLO, MANUEL
2011

Abstract

The subject of paleography is the study of ancient documents. In particular, the paleographer's aim is to locate a document in a cultural environment and chronological interval in the past. Automatic writer identification is then a desirable tool for a paleographer as she/he gains useful information about the document at hand. However, the paleographer is often interested in methods which can be easily interpretable by humans. In this paper, we apply some state-of-the-art techniques devised for modern documents to the paleographic domain. Moreover, we propose new techniques and document representations with the aim at producing more understandable representation of a writing style. Experimental results have been performed on a large dataset of paleographic images and demonstrate the feasibility of the proposed approach, and the suitability of this tool on helping the paleographer's work.
2011
Artificial Intelligence and Applications / 718: Modelling, Identification, and Control 2011
Eleventh IASTED International Conference on Artificial Intelligence and Applications (AIA)
9780889868632
9780889868793
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/181755
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