Why Temporal Persistence of Biometric Features, as Assessed by the Intraclass Correlation Coefficient, Is So Valuable for Classification Performance
It is generally accepted that relatively more permanent (i.e., more temporally persistent) traits are more valuable for biometric performance than less permanent traits. Although this finding is intuitive, there is no current work identifying exactly where in the biometric analysis temporal persiste...
Main Authors: | Lee Friedman, Hal S. Stern, Larry R. Price, Oleg V. Komogortsev |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-08-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/16/4555 |
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