Title :
Leveraging the Cloud for Big Data Biometrics: Meeting the Performance Requirements of the Next Generation Biometric Systems
Author :
Kohlwey, Edmund ; Sussman, Abel ; Trost, Jason ; Maurer, Amber
Author_Institution :
Booz Allen Hamilton, Inc., McLean, VA, USA
Abstract :
This paper presents a prototype system for generalized searching of cloud-scale biometric data as well as an application of this system to the task of matching a collection of synthetic human iris images. First, we discuss growth trends in the biometric technology market that warrant the application of new data storage and retrieval technologies. Next, we discuss the considerations that motivated our decisions when designing our prototype framework. We then discuss the underlying open source components that we selected for the prototype, its API design, and the relationship between the API and the underlying architecture. We provide details of our implementation of human iris matching within our prototype framework. Finally, we discuss opportunities for future research.
Keywords :
application program interfaces; biometrics (access control); cloud computing; image matching; information retrieval; iris recognition; public domain software; software prototyping; API design; cloud scale biometric data; data retrieval; data storage; next generation biometric system; open source components; performance requirements; prototype system; synthetic human iris image matching; Distributed databases; Iris recognition; Organizations; Prototypes; Servers; Hadoop; biometrics; cloud computing; distributed key-value stores; iris matching; machine learning;
Conference_Titel :
Services (SERVICES), 2011 IEEE World Congress on
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4577-0879-4
Electronic_ISBN :
978-0-7695-4461-8
DOI :
10.1109/SERVICES.2011.95
