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Similarity Search in Large Collections of Biometric Data

Basic information
Original title:Similarity Search in Large Collections of Biometric Data
Authors:Pavel Zezula, Michal Batko, Vlastislav Dohnal, David Novák, Jan Sedmidubský
Further information
Citation:ZEZULA, Pavel - BATKO, Michal - DOHNAL, Vlastislav - NOVÁK, David - SEDMIDUBSKÝ, Jan. Similarity Search in Large Collections of Biometric Data. In NATO RTO Modelling and Simulation Group Symposium. Brussels : NATO Research and Technology Organisation, 2009. ISBN 978-92-837-0100-2, 13 pp. 15.10.2009, Brussels.
Original language:English
Field:Informatika
WWW:link to a new windowhttp://www.rta.nato.int/panel.asp?panel=MSG, link to a new windowhttp://www.rta.nato.int/Pubs/RDP.asp?RDP=RTO-MP-MSG-069
Type:Article in Proceedings
Keywords:similarity search; content-based retrieval; metric space; MPEG-7 descriptors; peer-to-peer search network; MUFIN; biometric data

The new field of terrorism informatics is not only multidisciplinary but also requires new approaches to processing its complex underlying collections of data. In this paper, we introduce Multi-Feature Indexing Network (MUFIN) which is able to manage and search a large class of digital data according to the metric model of similarity. It is also scalable with respect to the data volume as well as the query execution throughput. At the same time, its performance can be tuned by mapping the search structure on a needed computation infrastructure. We illustrate the capabilities of MUFIN by outlining some of its current applications. Finally, we show how MUFIN can be used to deal with many biometric data and illustrate such possibility on the face retrieval application.

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