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Dissimilarity representation for handwritten signature verification


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Eskander, George S., Sabourin, Robert and Granger, Eric. 2013. « Dissimilarity representation for handwritten signature verification ». In CEUR Workshop Proceedings (Washington D.C., USA, Aug. 22-23, 2013) pp. 26-30. CEUR-WS.
Compte des citations dans Scopus : 4.

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Granger E. 2013 9490 Dissimilarity representation for handwritten signature verification.pdf

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Signature verification (SV) systems authenticate individuals, based on their handwritten signatures. The standard approach for such systems employ feature representations (FR), where features are extracted from the signature signals and classifiers are designed in the feature space. Performance of FR-based systems is limited by the quality of employed feature representations and the quantity of training data. The dissimilarity representation (DR) approach is recently introduced to pattern recognition community, where proximity among patterns constitute the classification space. Similar concept has been applied by forensic Questioned Document Examination (QDE) experts, where proximity between questioned signatures and a set of templates lead to the authentication decision. Recently, few automatic SV systems are proposed to simulate the QDE approach, by employing DR-based pattern recognition methods. In this paper, we explore different scenarios for employing the DR approach for replacing and/or enhancing the standard SV systems. A general framework for designing FR/DR based systems is proposed, that might guide the signature processing research direction to new areas.

Item Type: Conference proceeding
ISBN: 1613-0073
Additional Information: 2nd International Workshop on Automated Forensic Handwriting Analysis, AFHA 2013
Sabourin, Robert
Granger, Éric
Affiliation: Génie de la production automatisée
Date Deposited: 13 Apr 2015 19:33
Last Modified: 25 Jan 2016 20:18

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