Similarity Search in Large Collections of Biometric Data

Abstract

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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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2009
Accession Number
ADA568005

Entities

People

  • David Novak
  • Jan Sedmidubsky
  • Michal Batko
  • Pavel Zezula
  • Vlastislav Dohnal

Organizations

  • Masaryk University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Authentication
  • Biometric Security
  • Biometrics
  • Computer Science
  • Computers
  • Databases
  • Digital Data
  • Fingerprint Recognition
  • Fingerprints
  • Identification
  • Image Processing
  • Information Science
  • Information Systems
  • Infrastructure
  • Recognition
  • Standards

Fields of Study

  • Computer science

Readers

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