Quality Evaluation of the Biometric Systems Implementing Continuous Classification and Multiple Impression Storage

Abstract

A probabilistic approach to the quality of multi-finger and decision level fusion-based biometric systems is described. The behavior of the systems implementing a «Top K» continuous classifier is investigated. System quality characteristics are defined and probabilistic quality models for each of the mentioned strategies are devised. The boundaries for the strategies are then determined with the numerical experiments.