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

被引：0

作者：

Sequeira, Ana F. ^{[1
]}

Chen, Lulu ^{[1
]}

Ferryman, James ^{[1
]}

Galdi, Chiara ^{[2
]}

Chiesa, Valeria ^{[2
]}

Dugelay, Jean-Luc ^{[2
]}

Maik, Patryk ^{[3
]}

Gmitrowicz, Piotr ^{[3
]}

Szklarski, Lukasz ^{[3
]}

Prommegger, Bernhard ^{[4
]}

Kauba, Christof ^{[4
]}

Kirchgasser, Simon ^{[4
]}

Uhl, Andreas ^{[4
]}

Grudzie, Artur ^{[5
]}

Kowalski, Marcin ^{[5
]}

机构：

[1] Univ Reading, Reading, Berks, England

[2] EURECOM, Biot, France

[3] ITTI, Poznan, Poland

[4] Univ Salzburg, PLUS, Salzburg, Austria

[5] Mil Univ Technol, WAT, Warsaw, Poland

来源：

2018 INTERNATIONAL CONFERENCE OF THE BIOMETRICS SPECIAL INTEREST GROUP (BIOSIG) | 2018年

基金：

欧盟地平线“2020”;

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页数：5

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