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Cohort-Based Score Normalization

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Encyclopedia of Biometrics

Synonyms

Background models for score normalization; Cohort models for score normalization

Definition

Cohort-based score normalization is a procedure, which aims to post-process the matching score in a biometric verification system, using information from a set of cohort samples, i.e., nonmatching samples/impostors of the claimed identity. Automatic biometric authentication has long been an active research field driven by its wide range of practical applications. A typical verification system usually involves two stages: the enrollment stage (building a template model for each user) and the test stage (validating the authenticity of a query sample to its claimed identity). During the test stage, a query sample is compared to its claimed template model, through which a matching score can be obtained. Most biometric matching algorithms make the verification decision based only on this matching score. However, if various forms of noises are presented on the data, directly using the raw...

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Author information

Authors and Affiliations

  1. Computer Vision Laboratory, Department of Sciences and Information Technology, University of Sassari, Sassari, Italy

    Massimo Tistarelli & Yunlian Sun

Authors
  1. Massimo Tistarelli
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  2. Yunlian Sun
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Editor information

Editors and Affiliations

  1. Center for Biometrics and Security, Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Stan Z. Li

  2. Departments of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA

    Anil K. Jain

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Tistarelli, M., Sun, Y. (2015). Cohort-Based Score Normalization. In: Li, S.Z., Jain, A.K. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7488-4_9200

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