Automatic Analysis of Historical Manuscripts

Costantino Grana; Daniele Borghesani; Rita Cucchiara

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Paper

Automatic Analysis of Historical Manuscripts

In Proceedings of the 9th International Workshop on Pattern Recognition in Information Systems - Volume 0ICEIS, 93-102, 2009 , Milan, Italy

Authors: Costantino Grana ; Daniele Borghesani and Rita Cucchiara

Affiliation: University of Modena and Reggio Emilia, Italy

Abstract: In this paper a document analysis tool for historical manuscripts is proposed. The goal is to automatically segment layout components of the page, that is text, pictures and decorations. We specifically focused on the pictures, proposing a set of visual features able to identify significant pictures and separating them from all the floral and abstract decorations. The analysis is performed by blocks using a limited set of color and texture features, including a new texture descriptor particularly effective for this task, namely Gradient Spatial Dependency Matrix. The feature vectors are processed by an embedding procedure which allows increased performance in later SVM classification.

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Paper citation in several formats:

Grana, C.; Borghesani, D. and Cucchiara, R. (2009). Automatic Analysis of Historical Manuscripts. In Proceedings of the 9th International Workshop on Pattern Recognition in Information Systems (ICEIS 2009) - PRIS; ISBN 978-989-8111-89-0, SciTePress, pages 93-102. DOI: 10.5220/0002200500930102

@conference{pris09,
author={Costantino Grana. and Daniele Borghesani. and Rita Cucchiara.},
title={Automatic Analysis of Historical Manuscripts},
booktitle={Proceedings of the 9th International Workshop on Pattern Recognition in Information Systems (ICEIS 2009) - PRIS},
year={2009},
pages={93-102},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002200500930102},
isbn={978-989-8111-89-0},
}

TY - CONF

JO - Proceedings of the 9th International Workshop on Pattern Recognition in Information Systems (ICEIS 2009) - PRIS
TI - Automatic Analysis of Historical Manuscripts
SN - 978-989-8111-89-0
AU - Grana, C.
AU - Borghesani, D.
AU - Cucchiara, R.
PY - 2009
SP - 93
EP - 102
DO - 10.5220/0002200500930102
PB - SciTePress