Interval valued symbolic representation of writer dependent features for online signature verification

Guru, D. S. and Manjunatha, K. S. and Manjunath, S. and Somashekara, M. T. (2017) Interval valued symbolic representation of writer dependent features for online signature verification. Expert Systems with Applications, 80. 232 - 243. ISSN 0957-4174

Full text not available from this repository. (Request a copy)
Official URL: https://doi.org/10.1016/j.eswa.2017.03.024

Abstract

This work focusses on exploitation of the notion of writer dependent parameters for online signature verification. Writer dependent parameters namely features, decision threshold and feature dimension have been well exploited for effective verification. For each writer, a subset of the original set of features are selected using different filter based feature selection criteria. This is in contrast to writer independent approaches which work on a common set of features for all writers. Once features for each writer are selected, they are represented in the form of an interval valued symbolic feature vector. Number of features and the decision threshold to be used for each writer during verification are decided based on the equal error rate (EER) estimated with only the signatures considered for training the system. To demonstrate the effectiveness of the proposed approach, extensive experiments are conducted on both MCYT (DB1) and MCYT (DB2) benchmarking online signature datasets consisting of signatures of 100 and 330 individuals respectively using the available 100 global parametric features.

Item Type: Article
Uncontrolled Keywords: Online signature verification, Writer dependent parameters, Symbolic representation, Symbolic feature vector, Feature relevancy
Subjects: D Physical Science > Computer Science
Divisions: Department of > Computer Science
Depositing User: MUL SWAPNA user
Date Deposited: 31 May 2019 05:57
Last Modified: 31 May 2019 05:57
URI: http://eprints.uni-mysore.ac.in/id/eprint/731

Actions (login required)

View Item View Item