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BiolD: a multimodal biometric identification system

Frischholz, R.W., Dieckmann, U.·2000·Computer

Abstract

Biometric identification systems, which use physical features to check a person's identity, ensure much greater security than password and number systems. Biometric features such as the face or a fingerprint can be stored on a microchip in a credit card, for example. A single feature, however, sometimes fails to be exact enough for identification. Another disadvantage of using only one feature is that the chosen feature is not always readable. Dialog Communication Systems (DCS AG) developed BioID, a multimodal identification system that uses three different features-face, voice, and lip movement-to identify people. With its three modalities, BioID achieves much greater accuracy than single-feature systems. Even if one modality is somehow disturbed-for example, if a noisy environment drowns out the voice-the ether two modalities still lead to an accurate identification. This article goes into detail about the system functions, explaining the data acquisition and preprocessing techniques for voice, facial, and lip imagery data. The authors also explain the classification principles used for optical features and the sensor fusion options (the combinations of the three results-face, voice, lip movement-to obtain varying levels of security).

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Metadata

Authors
Frischholz, R. W., & Dieckmann, U.
Venue
Computer
Published
2000
Volume
33
Issue
2
Pages
64-68
ISSN
0018-9162 (ISSN-L)
OpenAlex
W2068723942
Cited by
346
References
1
FWCI
12.21
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: BiolD: a multimodal biometric identification system. https://app.cochat.ai/papers/10.1109/2.820041
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Frischholz, R. W., & Dieckmann, U. (2000). BiolD: a multimodal biometric identification system. Computer. https://doi.org/10.1109/2.820041

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