J. Lacirignola, P. Pomianowski, D. Ricke, D. Strom, E. Wack
{"title":"Multimodal biometric collection and evaluation architecture","authors":"J. Lacirignola, P. Pomianowski, D. Ricke, D. Strom, E. Wack","doi":"10.1109/THS.2012.6459826","DOIUrl":null,"url":null,"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.","PeriodicalId":355549,"journal":{"name":"2012 IEEE Conference on Technologies for Homeland Security (HST)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Conference on Technologies for Homeland Security (HST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/THS.2012.6459826","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
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.