Biometrics-as-a-Service: A Framework to Promote Innovative Biometric Recognition in the Cloud
Veeru Talreja, Terry Ferrett, Matthew C. Valenti, Arun Ross

TL;DR
This paper introduces a cloud-based Biometrics-as-a-Service framework that enables biometric authentication using smartphones, fosters innovation through developer-uploaded algorithms, and implements a case study with ocular recognition and developer environments.
Contribution
It presents a novel cloud framework for biometric recognition that supports algorithm upload, automatic selection, and micropayments, promoting innovation and ecosystem growth.
Findings
Implemented ocular recognition system accessible via mobile web
Developed a Linux environment for algorithm development and submission
Demonstrated effective biometric authentication in a cloud setting
Abstract
Biometric recognition, or simply biometrics, is the use of biological attributes such as face, fingerprints or iris in order to recognize an individual in an automated manner. A key application of biometrics is authentication; i.e., using said biological attributes to provide access by verifying the claimed identity of an individual. This paper presents a framework for Biometrics-as-a-Service (BaaS) that performs biometric matching operations in the cloud, while relying on simple and ubiquitous consumer devices such as smartphones. Further, the framework promotes innovation by providing interfaces for a plurality of software developers to upload their matching algorithms to the cloud. When a biometric authentication request is submitted, the system uses a criteria to automatically select an appropriate matching algorithm. Every time a particular algorithm is selected, the corresponding…
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