Similarity-based Image Retrieval for Revealing Forgery of Handwritten Corpora

Ilaria Bartolini

2015

Abstract

Authorship attribution is a problem with a long history and a wide range of applications. Recent works in non-traditional authorship attribution contexts demonstrate the practicality of automatic analysis of documents based on authorial style. However, such analyses are difficult to apply and few “best practices” are available. In this paper, we show how quantitative techniques based on image similarity search can be profitably exploited for revealing forgery of handwritten corpora. More in details, we explore the case where a document is represented by means of the image of the document itself. Preliminary experimental results conducted on real data demonstrate the effectiveness of the proposed approach.

References

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Paper Citation


in Harvard Style

Bartolini I. (2015). Similarity-based Image Retrieval for Revealing Forgery of Handwritten Corpora . In Proceedings of the 12th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2015) ISBN 978-989-758-118-2, pages 104-112. DOI: 10.5220/0005564401040112


in Bibtex Style

@conference{sigmap15,
author={Ilaria Bartolini},
title={Similarity-based Image Retrieval for Revealing Forgery of Handwritten Corpora},
booktitle={Proceedings of the 12th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2015)},
year={2015},
pages={104-112},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005564401040112},
isbn={978-989-758-118-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2015)
TI - Similarity-based Image Retrieval for Revealing Forgery of Handwritten Corpora
SN - 978-989-758-118-2
AU - Bartolini I.
PY - 2015
SP - 104
EP - 112
DO - 10.5220/0005564401040112