2017/10/25 by Veeru Talreja, Terry Ferrett, Talreja, Veeru +5
Computer Science · #Biometric Identification and Security #Computer Vision and Pattern Recognition (cs.CV) #Distributed #FOS: Computer and information sciences #Parallel #User Authentication and Security Systems #and Cluster Computing (cs.DC) #cs.CV #cs.DC
paper · pdf · doi:10.48550/arxiv.1710.09183
arxiv created 2017/10/25 · openalex publication_date 2017/10/25 · arxiv updated 2017/10/26 · openalex created_date 2022/10/03 · openalex updated_date 2026/07/28
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 developer is rendered a micropayment. This creates an innovative and competitive ecosystem that benefits both software developers and the consumers. As a case study, we have implemented the following: (a) an ocular recognition system using a mobile web interface providing user access to a biometric authentication service, and (b) a Linux-based virtual machine environment used by software developers for algorithm development and submission.