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Title: | A statistical approach to reliability estimation for fingerprint recognition |
Authors: | Di Martino, Luis Fernández, Alicia Grompone von Gioi, Rafael Lecumberry, Federico Preciozzi, Javier |
Type: | Ponencia |
Keywords: | Fingerprint, System output, Measure of confidence, Matching system, Biometric systems, Biological system modeling |
Descriptors: | Procesamiento de Señales |
Issue Date: | 2016 |
Abstract: | In this work we focus in the reliability estimation of biometric systems output. We explain why this is a very important problem when deploying a biometric system and face it using a statistical approach. In particular, we present a solution based in the a- contrario approach widely used in the image processing field. We show how this strategy could be adapted and its key advantages with respect to other state-of-the-art reliability measures. A comprehensive set of experiments is used to validate the approach, using different fingerprints databases, matching systems, and comparing the performance with other state-of-the-art confidence measure strategies. |
Description: | Trabajo presentado en International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, Germany, 21-23 set., 2016. |
Citation: | Di Martino, L, Fernandez, A, Grompone von Gioi, R, Lecumberry, F, Preciozzi, J. "A Statistical Approach to Reliability Estimation for Fingerprint Recognition" Publicado en: Proceedings of the International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, Germany, 21-23 set., 2016, pp. 1-8, doi: 10.1109/BIOSIG.2016.7736906. |
Academic department: | Procesamiento de Señales |
Investigation group: | Tratamiento de Imágenes |
License: | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
Appears in Collections: | Publicaciones académicas y científicas - Instituto de Ingeniería Eléctrica |
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