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Cited by 193

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On the error-reject trade-off in biometric verification systems

Golfarelli, M., Maio, D., Malton, D.·1997·IEEE Transactions on Pattern Analysis and Machine Intelligence

Abstract

We address the problem of performance evaluation in biometric verification systems. By formulating the optimum Bayesian decision criterion for a verification system and by assuming the data distributions to be multinormals, we derive two statistical expressions for calculating theoretically the false acceptance and false rejection rates. Generally, the adoption of a Bayesian parametric model does not allow for obtaining explicit expressions for the calculation of the system errors. As far as biometric verification systems are concerned, some hypotheses can be reasonably adopted, thus allowing simple and affordable expressions to be derived. By using two verification system prototypes. Based on hand shape and human face, respectively, we show our results are well founded.

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Metadata

Authors
Golfarelli, M., Maio, D., & Malton, D.
Venue
IEEE Transactions on Pattern Analysis and Machine Intelligence
Published
1997-07
Volume
19
Issue
7
Pages
786-796
ISSN
0162-8828 (ISSN-L)
OpenAlex
W2167652145
Cited by
193
References
1
FWCI
2.51
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: On the error-reject trade-off in biometric verification systems. https://app.cochat.ai/papers/10.1109/34.598237
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Golfarelli, M., Maio, D., & Malton, D. (1997). On the error-reject trade-off in biometric verification systems. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.598237

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