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of 18
pro vyhledávání: '"Kuehlkamp, Andrey"'
The increasing complexity of digital asset transactions across multiple blockchains necessitates a robust atomic swap protocol that can securely handle more than two participants. Traditional atomic swap protocols, including those based on adaptor si
Externí odkaz:
http://arxiv.org/abs/2406.16822
Forensic iris recognition, as opposed to live iris recognition, is an emerging research area that leverages the discriminative power of iris biometrics to aid human examiners in their efforts to identify deceased persons. As a machine learning-based
Externí odkaz:
http://arxiv.org/abs/2208.03138
Autor:
Kuehlkamp, Andrey, Boyd, Aidan, Czajka, Adam, Bowyer, Kevin, Flynn, Patrick, Chute, Dennis, Benjamin, Eric
Iris recognition of living individuals is a mature biometric modality that has been adopted globally from governmental ID programs, border crossing, voter registration and de-duplication, to unlocking mobile phones. On the other hand, the possibility
Externí odkaz:
http://arxiv.org/abs/2112.00849
As the public Ethereum network surpasses half a billion transactions and enterprise Blockchain systems becoming highly capable of meeting the demands of global deployments, production Blockchain applications are fast becoming commonplace across a div
Externí odkaz:
http://arxiv.org/abs/1909.09925
The adoption of large-scale iris recognition systems around the world has brought to light the importance of detecting presentation attack images (textured contact lenses and printouts). This work presents a new approach in iris Presentation Attack D
Externí odkaz:
http://arxiv.org/abs/1811.10068
Autor:
Kuehlkamp, Andrey, Bowyer, Kevin
Predicting gender from iris images has been reported by several researchers as an application of machine learning in biometrics. Recent works on this topic have suggested that the preponderance of the gender cues is located in the periocular region r
Externí odkaz:
http://arxiv.org/abs/1811.10066
Autor:
Kuehlkamp, Andrey, Bowyer, Kevin
Publikováno v:
Image and Vision Computing vol 73, May 2018, pp. 17-27
Iris recognition is used in many applications around the world, with enrollment sizes as large as over one billion persons in India's Aadhaar program. Large enrollment sizes can require special optimizations in order to achieve fast database searches
Externí odkaz:
http://arxiv.org/abs/1803.08394
Predicting a person's gender based on the iris texture has been explored by several researchers. This paper considers several dimensions of experimental work on this problem, including person-disjoint train and test, and the effect of cosmetics on ey
Externí odkaz:
http://arxiv.org/abs/1702.01304
Autor:
Kuehlkamp, Andrey, Bowyer, Kevin W.
Iris recognition systems are a mature technology that is widely used throughout the world. In identification (as opposed to verification) mode, an iris to be recognized is typically matched against all N enrolled irises. This is the classic "1-to-N s
Externí odkaz:
http://arxiv.org/abs/1702.01167
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