Published 2023
| Version v1
Publication
Soft Biometrics
Contributors
Others:
- Università degli Studi di Milano = University of Milan (UNIMI)
- Michigan State University [East Lansing] ; Michigan State University System
- Spatio-Temporal Activity Recognition Systems (STARS) ; Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Description
Soft biometrics traits are physical, behavioral, or material accessories associated with an individual, which can be used for describing an individual. These attributes are typically gleaned from primary biometric data, are classifiable in pre-defined human understandable categories, and can be extracted in an automated manner. Examples include age, gender, hair color, eye color, and cosmetics.
Additional details
Identifiers
- URL
- https://hal.science/hal-04391864
- URN
- urn:oai:HAL:hal-04391864v1
Origin repository
- Origin repository
- UNICA