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We investigate the application of similarity-based classification to biometric recognition, interpreting similarity functions used in biometric systems (i.e., matching algorithms) as kernel functions. This leads us to formulate biometric recognition as a distinct two-class classification problem for each client, which can be solved even when no representation of biometric samples in a feature space...
The problem of time validity of biometric models has received only a marginal attention from researchers. Actual and up-to-date at the time of their creation, extracted features and models relevant to a person's face may eventually become outdated, leading to a failure in the face identification task. If physical characteristics of the individual change over time, their classification model has to...
As users tend to bypass inconvenient security measures, access control systems can be made more user-friendly and secure by varying verification strength depending on current security risks; by using continuous unobtrusive verification with whatever modalities are available and requesting explicit verification only if unobtrusive one fails; by allowing users to choose among available biometric and...
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