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The biometric menagerie is useful in identifying the troublesome users within a biometric recognition system. In order to maximize the benefits of the menagerie classifications, it is imperative that the classifications remain constant for each subject. Irises present one of the unique scenarios for classification since each iris represents the same subject but the two irises are independent of each...
The performance of face recognition algorithms is affected both by external factors and internal subject characteristics [1]. Reliably identifying these factors and understanding their behavior on performance can potentially serve two important goals - to predict the performance of the algorithms at novel deployment sites and to design appropriate acquisition environments at prospective sites to optimize...