PROTECT Multimodal DB: fusion evaluation on a novel multimodal biometrics dataset envisaging Border Control
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publi-5720-4.pdf (650.92 KB)
Date
2018
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IEEE
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Abstract
Abstract: 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 con- text 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
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Citation
A. F. Sequeira et al., "PROTECT Multimodal DB: fusion evaluation on a novel multimodal biometrics dataset envisaging Border Control," 2018 International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, Germany, 2018, pp. 1-5, doi: 10.23919/BIOSIG.2018.8552926.