Similarity-based Image Retrieval for Revealing Forgery of Handwritten Corpora

Ilaria Bartolini

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Similarity-based Image Retrieval for Revealing Forgery of Handwritten Corpora

Topics: Multimedia Databases, Indexing, Recognition and Retrieval

In Proceedings of the 12th International Conference on Signal Processing and Multimedia Applications - Volume 0ICETE, 104-112, 2015 , Colmar, Alsace, France

Author: Ilaria Bartolini

Affiliation: Università di Bologna, Italy

Keyword(s): Similarity-based Image Retrieval, Low-level Features, k-Nearest Neighbor, Handwritten Corpora, Forgery.

Related Ontology Subjects/Areas/Topics: Multimedia ; Multimedia Databases, Indexing, Recognition and Retrieval ; Multimedia Systems and Applications ; Telecommunications

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.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 3.147.195.65

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

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 (ICETE 2015) - SIGMAP; ISBN 978-989-758-118-2, SciTePress, pages 104-112. DOI: 10.5220/0005564401040112

@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 (ICETE 2015) - SIGMAP},
year={2015},
pages={104-112},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005564401040112},
isbn={978-989-758-118-2},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Signal Processing and Multimedia Applications (ICETE 2015) - SIGMAP
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
PB - SciTePress