Supporting Decision-Making for Biometric System Deployment through Visual Analysis

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.