PROTECT Multimodal DB: fusion evaluation on a novel multimodal biometrics dataset envisaging Border Control

Sequeira, A., Chen, L., Ferryman, J., Galdi, C., Chiesa, V., Dugelay, J.-L., Maik, P., Gmitrowicz, P., Szklarski, L., Prommegger, B., Kauba, C., Kirchgasser, S., Uhl, A., Grudzie, A. and Kowalski, M. (2018) PROTECT Multimodal DB: fusion evaluation on a novel multimodal biometrics dataset envisaging Border Control. In: 2018 International Conference of the Biometrics Special Interest Group (BIOSIG), 26-28 September 2018, Darmstadt, Germany, pp. 1-5.

Abstract/Summary

This work presents a novel multimodal database comprising 3D face, 2D face, thermal face, visible iris, finger and hand veins, voice and anthropometrics. This dataset will constitute a valuable resource to the field with its number and variety of biometric traits. Acquired in the context of the EU PROTECT project, the dataset allows several combinations of biometric traits and envisages applications such as border control. Based upon the results of the unimodal data, a fusion scheme was applied to ascertain the recognition potential of combining these biometric traits in a multimodal approach. Due to the variability on the discriminative power of the traits, a leave the n-best out fusion technique was applied to obtain different recognition results.