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Previous researchers have explored various approaches for predicting the gender of a person based on the features of the iris texture. This paper is the first to predict gender directly from the same binary iris code that could be used for recognition. We found that the information for gender prediction is distributed across the iris, rather than localized in particular concentric bands. We also found...
The use of an artificial replica of a biometric characteristic in an attempt to circumvent a system is an example of a biometric presentation attack. Liveness detection is one of the proposed countermeasures, and has been widely implemented in fingerprint and iris recognition systems in recent years to reduce the consequences of spoof attacks. The goal for the Liveness Detection (LivDet) competitions...
Researchers have previously studied the prediction of “soft biometric” attributes such as gender and ethnicity from iris texture images. We present the results of an initial study to predict the relative age of a person from such images. We conclude that is possible to categorize iris images as representing a young or older person at levels of accuracy statistically significantly greater than random...
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