Paper
27 February 2007 Analyzing a multimodal biometric system using real and virtual users
Tobias Scheidat, Claus Vielhauer
Author Affiliations +
Abstract
Three main topics of recent research on multimodal biometric systems are addressed in this article: The lack of sufficiently large multimodal test data sets, the influence of cultural aspects and data protection issues of multimodal biometric data. In this contribution, different possibilities are presented to extend multimodal databases by generating so-called virtual users, which are created by combining single biometric modality data of different users. Comparative tests on databases containing real and virtual users based on a multimodal system using handwriting and speech are presented, to study to which degree the use of virtual multimodal databases allows conclusions with respect to recognition accuracy in comparison to real multimodal data. All tests have been carried out on databases created from donations from three different nationality groups. This allows to review the experimental results both in general and in context of cultural origin. The results show that in most cases the usage of virtual persons leads to lower accuracy than the usage of real users in terms of the measurement applied: the Equal Error Rate. Finally, this article will address the general question how the concept of virtual users may influence the data protection requirements for multimodal evaluation databases in the future.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tobias Scheidat and Claus Vielhauer "Analyzing a multimodal biometric system using real and virtual users", Proc. SPIE 6505, Security, Steganography, and Watermarking of Multimedia Contents IX, 650512 (27 February 2007); https://doi.org/10.1117/12.703873
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Databases

Biometrics

Data acquisition

Feature extraction

Data fusion

Multimodal biometric systems

Biological research

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