Comparing Binary Iris Biometric Templates Based on Counting Bloom Filters

  • Christian Rathgeb
  • Christoph Busch
Conference paper

DOI: 10.1007/978-3-642-41827-3_33

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8259)
Cite this paper as:
Rathgeb C., Busch C. (2013) Comparing Binary Iris Biometric Templates Based on Counting Bloom Filters. In: Ruiz-Shulcloper J., Sanniti di Baja G. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2013. Lecture Notes in Computer Science, vol 8259. Springer, Berlin, Heidelberg

Abstract

In this paper a binary biometric comparator based on Counting Bloom filters is introduced. Within the proposed scheme binary biometric feature vectors are analyzed and appropriate bit sequences are mapped to Counting Bloom filters. The comparison of resulting sets of Counting Bloom filters significantly improves the biometric performance of the underlying system. The proposed approach is applied to binary iris-biometric feature vectors, i.e. iris-codes, generated from different feature extractors. Experimental evaluations, which carried out on the CASIA-v3-Interval iris database, confirm the soundness of the presented comparator.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Christian Rathgeb
    • 1
  • Christoph Busch
    • 1
  1. 1.da/sec Biometrics and Internet Security Research Group, Hochschule DarmstadtDarmstadtGermany

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