Dealing with sensor interoperability in multi-biometrics: The UPM experience at the BioSecure Multimodal Evaluation 2007
Entity
UAM. Departamento de Ingeniería InformáticaPublisher
Society of Photo-Optical Instrumentation EngineersDate
2008-03-16Citation
10.1117/12.779676
Proc. SPIE 6944, Biometric Technology for Human Identification V. Ed. B.V.K. Vijaya Kumar; Salil Prabhakar; Arun A. Ross. 16 March 2008
ISSN
0277-786X (print); 1996-756X (online)ISBN
9780819471352DOI
10.1117/12.779676Funded by
This work has been supported by Spanish project TEC2006-13141-C03-03, and by European Commission IST-2002-507634 Biosecure NoE.Project
info:eu-repo/grantAgreement/EC/FP6/507634Editor's Version
http://dx.doi.org/10.1117/12.779676Subjects
Biometrics; BioSecure; Calibration; Fusion; Linear logistic regression; Multisensor; Quality; TelecomunicacionesNote
Fernando Alonso-Fernandez ; Julian Fierrez ; Daniel Ramos ; Javier Ortega-Garcia; "Dealing with sensor interoperability in multi-biometrics: the UPM experience at the Biosecure Multimodal Evaluation 2007", Biometric Technology for Human Identification V, Proc. SPIE 6944 (March 17, 2008); doi:10.1117/12.779676. Copyright 2008 Society of Photo‑Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.Proceedings of the V Biometric Technology for Human Identification (Orlando, Florida, USA)
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Copyright 2008 Society of Photo-Optical Instrumentation EngineersAbstract
Multimodal biometric systems allow to overcome some of the problems presented in unimodal systems, such as non-universality, lack of distinctiveness of the unimodal trait, noise in the acquired data, etc. Integration at the matching score level is the most common approach used due to the ease in combining the scores generated by different unimodal systems. Unfortunately, scores usually lie in application-dependent domains. In this work, we use linear logistic regression fusion, in which fused scores tend to be calibrated log-likelihood-ratios and thus, independent of the application. We use for our experiments the development set of scores of the DS2 Evaluation (Access Control Scenario) of the BioSecure Multimodal Evaluation Campaign, whose objective is to compare the performance of fusion algorithms when query biometric signals are originated from heterogeneous biometric devices. We compare a fusion scheme that uses linear logistic regression with a set of simple fusion rules. It is observed that the proposed fusion scheme outperforms all the simple fusion rules, with the additional advantage of the application-independent nature of the resulting fused scores.
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Google Scholar:Alonso Fernández, Fernando
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Fiérrez Aguilar, Julián
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Ramos Castro, Daniel
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Ortega García, Javier
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