Biometric ontology for semantic biometric‐as‐a‐service (BaaS) applications: a border security use case
Alper Kanak · IET Biometrics · 2018
With the fast adoption of cloud computing, the use of biometric technologies has evolved to adifferent way of providing security, preserving privacy, and analysing personaltraits for various purposes. The main components of any biometric system, suchas biometric sensing, data gathering, feature extraction, identification,verification, recognition, and analytics, are now handled over distributednetworks. Many of the biometric system services are presented over such networkswhich are followed by the creation of a new concept ‘biometric‐as‐a‐service(BaaS)’. Recent BaaS approaches usually focus on identifying the effectivedistributed architectures, policies, and use case recommendations. However,there is a strong need to focus on developing a semantic framework which shouldrely on a biometric ontology. This study presents such an ontology covering theuses of different biometric modalities, evaluation and assessment of biometricsystems, modelling biometric processes, and analyses through interlinkedrelations with biometric stakeholders. In order to shed light on how such anontology is useful for BaaS solutions, a case study focusing on the various usesof biometric modalities is presented. The selected use case addresses the asylumseeker or immigrant identification problems regarding the border securitychallenges where facial biometrics are benefited.