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The iris is a stable biometric that has been widely used for human recognition in various applications. However, official deployment of the iris in forensics has not been reported. One of the main reasons is that the current iris recognition techniques in hard to visually inspect by examiners. To further promote the maturity of iris recognition in forensics, one way is to make the similarity between...
The progression of research into understanding and mitigating the effects of pupil dilation on iris biometrics is at a point where a formalization of the problem is necessary to tie together several research directions and results. Past research has shown that differences in dilation in a (probe, gallery) pair lead to an increase in false non-match rates. Additionally, analysis continues to show that...
Automatic detection of textured contact lenses in images acquired for iris recognition has been studied by several researchers. However, to date, the experimental results in this area have all been based on the same manufacturer of contact lenses being represented in both the training data and the test data and only one previous work has considered images from more than one iris sensor. Experimental...
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...
Textured cosmetic lenses have long been known to present a problem for iris recognition. It was once believed that clear, soft contact lenses did not impact iris recognition accuracy. However, it has recently been shown that persons wearing clear, soft contact lenses experience an increased false non-match rate relative to persons not wearing contact lenses. Iris recognition systems need the ability...
Iris illumination typically causes specular highlighting both within the pupil and iris. This lighting variation is intended to be masked in the preprocessing stage. By removing or reducing these specular highlights, it is thought that a more accurate template could be made, improving the matching results. In an attempt to reduce these specular highlights we propose a diffuse illumination system....
Iris recognition is one of the most reliable biometric technologies for identity recognition and verification. Most iris recognition methods represent the iris texture using the output of band-pass filters, and compare irises by matching the filter outputs. In this paper we explore iris recognition based on two visible features, crypts and anti-crypts. The experiments demonstrate that crypts and anti-crypts...
It is known that the probability of a false non-match increases with difference in pupil size between the enrolled eye image and the probe eye image. To address this issue, recent research showed that enrolling multiple images for an eye, with the images selected to have different dilation values, improves performance. However, it may not always be practical to acquire iris images for a range of different...
Prior research has shown that the textural detail of the iris is sufficiently distinctive to distinguish identical twin siblings. However, no research has addressed the question of whether twins' irises are sufficiently similar in some sense to correctly determine that two irises are from twins. We conducted a human classification study in which participants were asked to label pairs of iris images...
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