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When to Fuse Two Biometrics?

Published

Author(s)

Elham Tabassi, Patrick J. Grother, George W. Quinn

Abstract

Biometric fusion, acquisition and combination of multiple pieces of evidence of identity, can achieve higher accuracy of biometric recognition than using a single biometric. However, fusion increases the cost or throughput of the system since it requires acquisition and processing of more samples. We document a procedure for contingent fusion. That is, two biometrics are fused only if verification on the first presented biometric is rejected. We present results of this approach for both decision and score level fusion, and examine the combination of two different algorithms, two different modalities, and two different instances of a biometric. We conclude that contingent fusion results in comparable accuracy and lower cost as measured by processing time per sample than always fusing two pieces evidence of the same identity.
Conference Dates
September 19-21, 2006
Conference Location
baltimore, MD
Conference Title
IEEE Computer Society on Computer Vision and Pattern Recognition, Workshop on Multi-Biometrics

Keywords

biometric verification, fusion, multi-biometrics, multi-modal

Citation

Tabassi, E. , Grother, P. and Quinn, G. (2006), When to Fuse Two Biometrics?, IEEE Computer Society on Computer Vision and Pattern Recognition, Workshop on Multi-Biometrics, baltimore, MD, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=150647 (Accessed December 1, 2021)
Created June 13, 2006, Updated February 19, 2017