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Proceedings Paper

Dealing with sensor interoperability in multi-biometrics: the UPM experience at the Biosecure Multimodal Evaluation 2007
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Paper Abstract

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.

Paper Details

Date Published: 17 March 2008
PDF: 12 pages
Proc. SPIE 6944, Biometric Technology for Human Identification V, 69440J (17 March 2008); doi: 10.1117/12.779676
Show Author Affiliations
Fernando Alonso-Fernandez, Univ. Autonoma de Madrid (Spain)
Julian Fierrez, Univ. Autonoma de Madrid (Spain)
Daniel Ramos, Univ. Autonoma de Madrid (Spain)
Javier Ortega-Garcia, Univ. Autonoma de Madrid (Spain)


Published in SPIE Proceedings Vol. 6944:
Biometric Technology for Human Identification V
B.V.K. Vijaya Kumar; Salil Prabhakar; Arun A. Ross, Editor(s)

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