Biometrics and Robust Face Recognition
Harry Wechslera and Fayin Lib, aDepartment of Computer Science, George Mason University, VA, USA, bCleverSys Inc., VA, USA
Abstract
The use of conformal prediction in general, and transduction in particular, is discussed in terms of scope, challenges, and vulnerabilities for biometrics with robust face recognition as application domain of interest. Robustness refers to the ability to cope with uncontrolled settings characteristic of incomplete and/or corrupt (adversarial) biometric information on one side, and varying image quality on the other side. The motivation for the conformal prediction approach comes from the use of discriminative methods, such as likelihood ratios, to link biometrics ...
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