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Eye detection is a well studied problem for the constrained face recognition problem, where we find controlled distances, lighting, and limited pose variation. A far more difficult scenario for eye detection is the unconstrained face recognition problem, where we do not have any control over the environment or the subject. In this paper, we take a look at two different approaches for eye detection...
Competing notions of biometric recognition system failure prediction have emerged recently, which can roughly be categorized as quality and non-quality based approaches. Quality, while well correlated overall with recognition performance, is a weaker indication of how the system will perform in a particular instance - something of primary importance for critical installations, screening areas, and...
Cryptographic protocols are the foundation of secure network infrastructure, facilitating authentication, transactions, and data integrity. In traditional cryptographic protocols, generated keys (and, in most cases, passwords) are used. The utility of biometrics as a convenient and reliable method for authentication has emerged in recent years, but little work has been performed on a serious integration...
The notion of quality in biometric system evaluation has often been restricted to raw image quality, with a prediction of failure leaving no other option but to acquire another sample image of the subject at large. The very nature of this sort of failure prediction is very limiting for both identifying situations where algorithms fail, and for automatically compensating for failure conditions. Moreover,...
Modern spectrometer equipment tends to be expensive, thus increasing the cost of emerging systems that take advantage of spectral properties as part of their operation. This paper introduces a novel technique that exploits the spectral response characteristics of a traditional sensor (i.e. CMOS or CCD) to utilize it as a low-cost spectrometer. Using the raw Bayer pattern data from a sensor, we estimate...
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