NDLI: Combination of off-line and on-line signature verification systems based on SVM and DST

Content Provider	IEEE Xplore Digital Library
Author	Abbas, N. Chibani, Y.
Copyright Year	2011
Description	Author affiliation: Speech Communication and Signal Processing Laboratory, Faculty of Electronics and Computer Science, University of Science and Technology Houari Boumediene (USTHB), 32, El Alia, Bab Ezzouar, 16111, Algiers, Algeria (Abbas, N.; Chibani, Y.)
Abstract	The objective of this work is to present a signature verification system based on combination of off-line and online systems for managing conflict provided by the Support Vector Machine (SVM) classifiers. This system is basically divided into three parts: i) off-line verification stage, ii) on-line verification stage and iii) combination module using Dempster-Shafer theory (DST). The proposed framework allows combining the normalized SVM outputs and uses an estimation technique based on the dissonant model of Appriou to compute the belief assignments. Combination is performed using Dempster-Shafer (DS) rule followed by the likelihood ratio based decision making. Experiments are conducted on the well know NISDCC signature collection using false rejection and false acceptance criteria. The obtained results show that the proposed combination framework using DST yields the best verification accuracy compared to the sum rule even when individual off-line and on-line classifications provide conflicting results.
Starting Page	855
Ending Page	860
File Size	536096
Page Count	6
File Format	PDF
ISBN	9781457716768
ISSN	21647151
e-ISBN	9781457716768
DOI	10.1109/ISDA.2011.6121764
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-22
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Biometrics Error analysis belief assignments Off-line signature verification Probabilistic logic Dempster-Shafer theory Forgery Kernel On-line signature verification Support Vector Machines conflict
Content Type	Text
Resource Type	Article

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