The evolution of the HBSI model with the convergence of performance methodologies

Over the past six years, the HBSI model has been validated against different biometric modalities, including fingerprint, iris, and hand. The model has gradually evolved based on each of these validations. The output of this paper will be to provide a framework for integrating existing and accepted biometric models. Anchoring this framework is the HBSI model. The evaluation method for the advancement of the model includes usability (satisfaction, efficiency, and effectiveness); ergonomics (cognitive and physical) and signal processing (sensor and biometric system). These factors lead to biometric performance, using traditional metrics and error rates, throughput rates, quality metrics and HBSI interaction methods. The next stage is to provide additional detail with respect to timing, additional performance metrics such as the Dunstone Zoo and relating back to cost functions. Lazarick, Kukula and Elliott proposed an operational timing model to clarify a number of different biometric definitions for time [1]. These include total transaction time, overt biometric transaction time, and external operation time. Integrating this timing structure into the HBSI model will allow us to understand more about the trade-offs of usability and performance.