Preprocessing and feature selection for improved sensor interoperability in online biometric signature verification

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dc.contributor.author Tolosana Moranchel, Rubén
dc.contributor.author Vera-Rodríguez, Rubén
dc.contributor.author Ortega-García, Javier
dc.contributor.author Fiérrez, Julián
dc.contributor.other UAM. Departamento de Tecnología Electrónica y de las Comunicaciones es_ES
dc.date.accessioned 2016-10-21T15:59:30Z
dc.date.available 2016-10-21T15:59:30Z
dc.date.issued 2015-05-08
dc.identifier.citation IEEE Access 3 (2015): 478-489 en_US
dc.identifier.issn 2169-3536
dc.identifier.uri http://hdl.handle.net/10486/674366
dc.description Under a IEEE Open Access Publishing Agreement. en_US
dc.description.abstract Due to the technological evolution and the increasing popularity of smartphones, people can access an application using authentication based on biometric approaches from many different devices. Device interoperability is a very challenging problem for biometrics, which needs to be further studied. In this paper, we focus on interoperability device compensation for online signature verification since this biometric trait is gaining a significant interest in banking and commercial sector in the last years. The proposed approach is based on two main stages. The first one is a preprocessing stage where data acquired from different devices are processed in order to normalize the signals in similar ranges. The second one is based on feature selection taking into account the device interoperability case, in order to select to select features which are robust in these conditions. This proposed approach has been successfully applied in a similar way to two common system approaches in online signature verification, i.e., a global features-based system and a time functions-based system. Experiments are carried out using Biosecure DS2 (Wacom device) and DS3 (Personal Digital Assistant mobile device) dynamic signature data sets which take into account multisession and two different scenarios emulating real operation conditions. The performance of the proposed global features-based and time functions-based systems applying the two main stages considered in this paper have provided an average relative improvement of performance of 60.3% and 26.5% Equal Error Rate (EER), respectively, for random forgeries cases, compared with baseline systems. Finally, a fusion of the proposed systems has achieved a further significant improvement for the device interoperability problem, especially for skilled forgeries. In this case, the proposed fusion system has achieved an average relative improvement of 27.7% EER compared with the best performance of time functions-based system. These results prove the robustness of the proposed approach and open the door for future works using devices as smartphones or tablets, commonly used nowadays. en_US
dc.description.sponsorship This work was supported in part by the Project Bio-Shield under Grant TEC2012-34881, in part by Cecabank e-BioFirma Contract, and in part by Catedra UAM-Telefonica en_US
dc.format.extent 12 pag. es_ES
dc.format.mimetype application/pdf en
dc.language.iso eng en
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.ispartof IEEE Access en_US
dc.rights © 2015 IEEE
dc.subject.other Device interoperability en_US
dc.subject.other On-line signature en_US
dc.subject.other Time functions-based system en_US
dc.subject.other Global featuresbased system en_US
dc.subject.other Fusion en_US
dc.subject.other DTW en_US
dc.subject.other Biosecure en_US
dc.title Preprocessing and feature selection for improved sensor interoperability in online biometric signature verification en_US
dc.type article en_US
dc.subject.eciencia Telecomunicaciones es_ES
dc.relation.publisherversion http://dx.doi.org/10.1109/ACCESS.2015.2431493
dc.identifier.doi 10.1109/ACCESS.2015.2431493
dc.identifier.publicationfirstpage 478
dc.identifier.publicationlastpage 489
dc.identifier.publicationvolume 3
dc.relation.projectID Gobierno de España. TEC2012-34881 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion en
dc.contributor.group Análisis y Tratamiento de Voz y Señales Biométricas (ING EPS-002) es_ES
dc.rights.accessRights openAccess en
dc.authorUAM Fierrez Aguilar, Julián (261834)
dc.authorUAM Tolosana Moranchel, Rubén (271218)


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