Multimodal biometric collection and evaluation architecture

The size and scope of standoff multimodal biometric datasets can be increased through the adoption of a common architecture to collect, describe, archive, and analyze subject traits. The Extendable Multimodal Biometric Evaluation Range (EMBER) system developed by MIT Lincoln Laboratory is a field-re...

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Published in2012 IEEE Conference on Technologies for Homeland Security (HST) pp. 61 - 66
Main Authors Lacirignola, J., Pomianowski, P., Ricke, D., Strom, D., Wack, E.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2012
Subjects
Bioinformatics
Biological system modeling
biometrics
Data collection
Feature extraction
Instruments
multimodal
Software
standoff
system assesment
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Abstract The size and scope of standoff multimodal biometric datasets can be increased through the adoption of a common architecture to collect, describe, archive, and analyze subject traits. The Extendable Multimodal Biometric Evaluation Range (EMBER) system developed by MIT Lincoln Laboratory is a field-ready, easily adaptable architecture to streamline collections requiring multiple biometric devices in environments of interest. Its data architecture includes a fully featured metadata-rich relational database that supports the aggregation of biometric data collected with proliferated systems into a single corpus for analytical use.
AbstractList The size and scope of standoff multimodal biometric datasets can be increased through the adoption of a common architecture to collect, describe, archive, and analyze subject traits. The Extendable Multimodal Biometric Evaluation Range (EMBER) system developed by MIT Lincoln Laboratory is a field-ready, easily adaptable architecture to streamline collections requiring multiple biometric devices in environments of interest. Its data architecture includes a fully featured metadata-rich relational database that supports the aggregation of biometric data collected with proliferated systems into a single corpus for analytical use.
Author Strom, D.
Lacirignola, J.
Pomianowski, P.
Wack, E.
Ricke, D.
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SubjectTerms Bioinformatics
Biological system modeling
biometrics
Data collection
Feature extraction
Instruments
multimodal
Software
standoff
system assesment
Title Multimodal biometric collection and evaluation architecture
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