Paper Info
Title
Supporting Decision-Making for Biometric System Deployment through Visual Analysis
Abstract
Deployment of biometric systems in the specific environment is not straightforward. Based on pre-deployment performance test results, a decision maker needs to consider the selection of sensors and matching algorithms in terms of the cost, expected false-match and false-non-match failure rates and the underlying quality factors. Which depend on operational scenarios, personnel training, demographics, etc. In this paper, we investigate information aggregation through visualization of fingerprint authentication experiments obtained from a large scale data collection with 494 participants. The data was collected using four biometric image capture devices. Each fingerprint image was analysed with two image quality algorithms, and the matching scores were generated using three different matchers. Additionally we collected and analyzed the impact of demographic characteristics, such as gender, age, ethnicity, height and weight, on system performance.
Year
DOI
Venue
2014
10.1109/ISSREW.2014.78
Software Reliability Engineering Workshops
Keywords
Field
DocType
security data analysis, visual analytics, biometrics, decision support
Data mining,Data collection,Software deployment,Computer science,Visualization,Fingerprint recognition,Decision support system,Image quality,Visual analytics,Biometrics
Conference
Citations 
PageRank 
References 
0
0.34
11
Authors
4
Name
Order
Citations
PageRank
Cagatay Turkay128722.63
Stephen Mason210.70
Ilir Gashi317117.20
Bojan Cukic4181297.62