In the last decade, research in biometrics has been focused on augmenting the algorithmic performance to address a growing range of applications, not limited to person authentication/recognition. The concept of context awareness emerged as a possible key-factor for both performance optimization and operational adaptation of the capture, extraction, matching and decision stages. This may be particularly effective for multi-biometrics systems. The knowledge of the context in which a task is being performed, may provide useful information to the system in several manners. For example, it may allow to adapt to a specific environmental condition, such as shadow or light exposure. On the other hand, it may be possible to select the best available algorithm, among a given set to address the task at hand, which best performs within the given context. This paper aims to provide an overall vision of the main contributions available so far in the field of context-aware biometric systems and methods. The survey is not confined to a particular biometric modality or processing stage, but rather spans the state of the art of several biometric modalities and approaches. A taxonomy of context-aware biometric systems and methods is also proposed, along with a comparison of their features, aims and performances. The analysis will be complemented with a critical discussion about the state of the art also suggesting some future application scenarios. (C) 2018 Elsevier B.V. All rights reserved.

Context awareness in biometric systems and methods: State of the art and future scenarios / Nappi, M.; Ricciardi, S.; Tistarelli, M.. - In: IMAGE AND VISION COMPUTING. - ISSN 0262-8856. - 76:(2018), pp. 27-37. [10.1016/j.imavis.2018.05.001]

Context awareness in biometric systems and methods: State of the art and future scenarios

Tistarelli M.
Membro del Collaboration Group
2018

Abstract

In the last decade, research in biometrics has been focused on augmenting the algorithmic performance to address a growing range of applications, not limited to person authentication/recognition. The concept of context awareness emerged as a possible key-factor for both performance optimization and operational adaptation of the capture, extraction, matching and decision stages. This may be particularly effective for multi-biometrics systems. The knowledge of the context in which a task is being performed, may provide useful information to the system in several manners. For example, it may allow to adapt to a specific environmental condition, such as shadow or light exposure. On the other hand, it may be possible to select the best available algorithm, among a given set to address the task at hand, which best performs within the given context. This paper aims to provide an overall vision of the main contributions available so far in the field of context-aware biometric systems and methods. The survey is not confined to a particular biometric modality or processing stage, but rather spans the state of the art of several biometric modalities and approaches. A taxonomy of context-aware biometric systems and methods is also proposed, along with a comparison of their features, aims and performances. The analysis will be complemented with a critical discussion about the state of the art also suggesting some future application scenarios. (C) 2018 Elsevier B.V. All rights reserved.
Context awareness in biometric systems and methods: State of the art and future scenarios / Nappi, M.; Ricciardi, S.; Tistarelli, M.. - In: IMAGE AND VISION COMPUTING. - ISSN 0262-8856. - 76:(2018), pp. 27-37. [10.1016/j.imavis.2018.05.001]
File in questo prodotto:
File Dimensione Formato  
Context Awareness in Biometric Systems and Methods.pdf

accesso aperto

Tipologia: Documento in Pre-print (versione non ancora referata)
Licenza: DRM non definito
Dimensione 871.98 kB
Formato Adobe PDF
871.98 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11388/228531
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 15
  • ???jsp.display-item.citation.isi??? 10
social impact