Hyper-spectral Analysis for Automatic Signature Extraction - Université des Antilles Accéder directement au contenu
Communication Dans Un Congrès Année : 2015

Hyper-spectral Analysis for Automatic Signature Extraction

Résumé

Signatures are one of the most accessible and prevailed ways of authenticating documents. Over the last many years, a large number of signature veri cation 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 veri cation system can be adjuncted for signature veri cation.
Fichier principal
Vignette du fichier
IGS_2015_submission_18.pdf (2.6 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01165888 , version 1 (22-06-2015)

Identifiants

  • HAL Id : hal-01165888 , version 1

Citer

Muhammad Imran Malik, Sheraz Ahmed, Faisal Shafait, Ajmal Saeed Mian, Christian Nansen, et al.. Hyper-spectral Analysis for Automatic Signature Extraction. 17th Biennial Conference of the International Graphonomics Society, International Graphonomics Society (IGS); Université des Antilles (UA), Jun 2015, Pointe-à-Pitre, Guadeloupe. ⟨hal-01165888⟩

Collections

UNIV-AG IGS2015
425 Consultations
1374 Téléchargements

Partager

Gmail Facebook X LinkedIn More