HAL Université des Antilles

Hyper-spectral Analysis for Automatic Signature Extraction

Muhammad Imran Malik ¹ Sheraz Ahmed ¹ Faisal Shafait ² Ajmal Saeed Mian ² Christian Nansen ² Andreas Dengel ¹ Marcus Liwicki ^{1, 3}

1 DFKI - Deutsches Forschungszentrum für Künstliche Intelligenz GmbH

2 UWA - The University of Western Australia

3 Department of Informatics

Abstract : Signatures are one of the most accessible and prevailed ways of authenticating documents. Over the last many years, a large number of signature verication systems have been reported. A common assumption in nearly all of these system is that the signatures are available readily extracted from documents. In this paper we provide a detailed literature survey on the subject and argue that pre-extracted signatures are not always available especially in forensic cases. Furthermore, we present a novel system of automatically extracting signatures from documents with the help of hyper-spectral imaging. Initial experiments reveal that the proposed idea possess great potential to form a baseline signature extraction system above whom any signature verication system can be adjuncted for signature verication.

Type de document :

Communication dans un congrès

Céline Rémi; Lionel Prévost; Eric Anquetil. 17th Biennial Conference of the International Graphonomics Society, Jun 2015, Pointe-à-Pitre, Guadeloupe. 2015, Drawing, Handwriting Processing Analysis: New Advances and Challenges

Domaine :

Informatique [cs]

Liste complète des métadonnées

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https://hal.univ-antilles.fr/hal-01165888
Contributeur : Philippe Simon <>
Soumis le : lundi 22 juin 2015 - 20:47:28
Dernière modification le : jeudi 7 février 2019 - 14:20:58
Document(s) archivé(s) le : mardi 15 septembre 2015 - 19:57:30

IGS_2015_submission_18.pdf

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