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Score Fusion by Maximizing the Area under the ROC Curve

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Score Fusion by Maximizing the Area under the ROC Curve

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Villegas Santamaría, M.; Paredes Palacios, R. (2009). Score Fusion by Maximizing the Area under the ROC Curve. En Pattern Recognition and Image Analysis: 4th Iberian Conference, IbPRIA 2009 Póvoa de Varzim, Portugal, June 10-12, 2009 Proceedings. Springer Verlag (Germany). 473-480. https://doi.org/10.1007/978-3-642-02172-5_61

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Metadatos del ítem

Título: Score Fusion by Maximizing the Area under the ROC Curve
Autor: Villegas Santamaría, Mauricio Paredes Palacios, Roberto
Entidad UPV: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Instituto Universitario Mixto Tecnológico de Informática - Institut Universitari Mixt Tecnològic d'Informàtica
Fecha difusión:
Resumen:
Information fusion is currently a very active research topic aimed at improving the performance of biometric systems. This paper proposes a novel method for optimizing the parameters of a score fusion model based on ...[+]
Derechos de uso: Reserva de todos los derechos
ISBN: 978-3-642-02171-8
Fuente:
Pattern Recognition and Image Analysis: 4th Iberian Conference, IbPRIA 2009 Póvoa de Varzim, Portugal, June 10-12, 2009 Proceedings. (issn: 0302-9743 )
DOI: 10.1007/978-3-642-02172-5_61
Editorial:
Springer Verlag (Germany)
Versión del editor: http://link.springer.com/chapter/10.1007/978-3-642-02172-5_61
Serie: Lecture Notes in Computer Science;5524
Código del Proyecto:
info:eu-repo/grantAgreement/MEC//DPI2006-15542-C04-02/ES/APLICACION INDUSTRIAL DE TECNICAS AVANZADAS DE RECONOCIMIENTO DE FORMAS Y VISION ARTIFICIAL/
info:eu-repo/grantAgreement/MICINN//TIN2008-04571/ES/RISE: RELEVANCE IMAGE SEARCH ENGINE/
Descripción: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-02172-5_61
Agradecimientos:
Work supported by the Spanish projects DPI2006-15542-C04 and TIN2008-04571 and the Generalitat Valenciana - Consellería d’Educació under an FPI scholarship.
Tipo: Capítulo de libro

References

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Toh, K.A., Kim, J., Lee, S.: Biometric scores fusion based on total error rate minimization. Pattern Recognition 41(3), 1066–1082 (2008)

Jain, A., Nandakumar, K., Ross, A.: Score normalization in multimodal biometric systems. Pattern Recognition 38(12), 2270–2285 (2005)

Gutschoven, B., Verlinde, P.: Multi-modal identity verification using support vector machines (svm). In: Proceedings of the Third International Conference on Information Fusion. FUSION 2000, vol. 2, pp. THB3/3–THB3/8 (July 2000)

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Nandakumar, K., Chen, Y., Dass, S.C., Jain, A.: Likelihood ratio-based biometric score fusion. IEEE Transactions on Pattern Analysis and Machine Intelligence 30(2), 342–347 (2008)

Poh, N., Bengio, S.: A score-level fusion benchmark database for biometric authentication. In: Kanade, T., Jain, A., Ratha, N.K. (eds.) AVBPA 2005. LNCS, vol. 3546, pp. 1059–1070. Springer, Heidelberg (2005)

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