Pupil dilation degrades iris biometric performance

Hollingsworth, Karen; Bowyer, Kevin W.; Flynn, Patrick J.

doi:10.1016/j.cviu.2008.08.001

Cited by 121 publications

(88 citation statements)

References 9 publications

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“…At first glance, this assertion may seem plausible because in the typical approach the segmented iris region is transformed into standard rectangular size. However, recent work in our laboratory shows that varying pupil dilation can in fact degrade iris biometric performance (Hollingsworth et al 2008(Hollingsworth et al , 2009b.…”

Section: Effects Of Pupil Dilation On Iris Biometrics Accuracymentioning

confidence: 99%

“…Having the lights off allowed us to observe a degree of pupil dilation without the use of eye drops or sunglasses. For the results presented here, we use a dataset of 1,263 iris images (Hollingsworth et al 2009b), acquired using an LG 2200 iris imaging system (LG 2009a), and processed with our version of the IrisBEE software (Liu et al 2005;). For each image, the pupil dilation ratio was computed using the results of segmenting the iris region using circular boundaries.…”

Section: Effects Of Pupil Dilation On Iris Biometrics Accuracymentioning

confidence: 99%

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Factors that degrade the match distribution in iris biometrics

Bowyer

Baker

Hentz

et al. 2009

IDIS

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We consider three "accepted truths" about iris biometrics, involving pupil dilation, contact lenses and template aging. We also consider a relatively ignored issue that may arise in system interoperability. Experimental results from our laboratory demonstrate that the three accepted truths are not entirely true, and also that interoperability can involve subtle performance degradation. All four of these problems affect primarily the stability of the match, or authentic, distribution of template comparison scores rather than the non-match, or imposter, distribution of scores. In this sense, these results confirm the security of iris biometrics in an identity verification scenario. We consider how these problems affect the usability and security of iris biometrics in large-scale applications, and suggest possible remedies.

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Section: Effects Of Pupil Dilation On Iris Biometrics Accuracymentioning

confidence: 99%

Section: Effects Of Pupil Dilation On Iris Biometrics Accuracymentioning

confidence: 99%

Factors that degrade the match distribution in iris biometrics

Bowyer

Baker

Hentz

et al. 2009

IDIS

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“…Iris size (number of pixels across the iris radius, when boundaries are modeled by a circle). Dilation (ratio of the pupil to iris radius), with less iris area visible in case of high pupil dilation and higher dissimilarity scores reported in genuine (same person) comparisons between images with different degree of dilation [10]. Usable iris area (percentage of non-occluded iris, either by eyelashes, eyelids or reflections).…”

Section: Iris Image Qualitymentioning

confidence: 99%

Quality factors affecting iris segmentation and matching

Alonso‐Fernandez

Bigün

2013

2013 International Conference on Biometrics (ICB)

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“…In controlled environments, iris recognition is indeed extremely accurate but recent studies suggest that the iris texture is affected by covariates like pupil dilation [30] and sensor interoperability [3,11]. Presence of both textured and transparent soft contact lenses is a another issue that may cause severe degradation in iris recognition performance in terms of false non-match rate (FNMR) [4,5,35,56].…”

Section: Introductionmentioning

confidence: 99%

Contact lens detection in iris images

Komulainen¹,

Hadid²

2017

Iris and Periocular Biometric Recognition

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Iris texture provides the means for extremely accurate uni-modal person identification. However, the accuracy of iris based biometric systems is sensitive to the presence of contact lenses in acquired sample images. This is especially true in the case of textured (cosmetic) contact lenses that can be effectively used to obscure the original iris texture of a subject and consequently to perform presentation attacks. Since also transparent contact lenses can degrade matching rates, automatic detection and classification of different contact lens types is needed in order to improve the robustness of iris based biometric systems. This chapter introduces the problem of contact lens detection with particular focus on cosmetic contact lenses. The state of the art is analysed thoroughly and a case study on generalised textured contact lens detection is provided. The potential future research directions are also discussed.

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Pupil dilation degrades iris biometric performance

Cited by 121 publications

References 9 publications

Factors that degrade the match distribution in iris biometrics

Factors that degrade the match distribution in iris biometrics

Quality factors affecting iris segmentation and matching

Contact lens detection in iris images

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