Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Andrey Kuehlkamp"'
Autor:
Aidan Boyd, Shivangi Yadav, Thomas Swearingen, Andrey Kuehlkamp, Mateusz Trokielewicz, Eric Benjamin, Piotr Maciejewicz, Dennis Chute, Arun Ross, Patrick Flynn, Kevin Bowyer, Adam Czajka
Publikováno v:
IEEE Access, Vol 8, Pp 136570-136593 (2020)
Post-mortem biometrics entails utilizing the biometric data of a deceased individual for determining or verifying human identity. Due to fundamental biological changes that occur in a person's biometric traits after death, post-mortem data can be sig
Externí odkaz:
https://doaj.org/article/41ee25edcd884e8fb09c7a57634ea7fd
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW).
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08e4831d0c0bf33cf1641559fba7de36
https://doi.org/10.1109/wacvw58289.2023.00077
https://doi.org/10.1109/wacvw58289.2023.00077
Autor:
Kevin W. Bowyer, Piotr Maciejewicz, Andrey Kuehlkamp, Eric Benjamin, Patrick J. Flynn, Aidan Boyd, Arun Ross, Mateusz Trokielewicz, Shivangi Yadav, Thomas Swearingen, Dennis Chute, Adam Czajka
Publikováno v:
IEEE Access. 8:136570-136593
Post-mortem biometrics entails utilizing the biometric data of a deceased individual for determining or verifying human identity. Due to fundamental biological changes that occur in a person’s biometric traits after death, post-mortem data can be s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::220b83d7dad7077ab04f184f9820d197
https://doi.org/10.1109/access.2020.3011364
https://doi.org/10.1109/access.2020.3011364
Autor:
Andrey Kuehlkamp, Aidan Boyd, Adam Czajka, Kevin Bowyer, Patrick Flynn, Dennis Chute, Eric Benjamin
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32a61f88e208744f8c70d8547a903db0
http://arxiv.org/abs/2112.00849
http://arxiv.org/abs/2112.00849
Autor:
Kevin W. Bowyer, Andrey Kuehlkamp
Publikováno v:
WACV
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:
https://explore.openaire.eu/search/publication?articleId=doi_________::d15c154eb09c211403594ebcc65263d6
https://doi.org/10.1109/wacv.2019.00101
https://doi.org/10.1109/wacv.2019.00101
Publikováno v:
ICTC
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24a54d29af489e98a4aa08ab68c0423b
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e0476bd5f74eae6c4d8e636842e6f10
http://arxiv.org/abs/1811.10068
http://arxiv.org/abs/1811.10068
Autor:
Kevin W. Bowyer, Andrey Kuehlkamp
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc971bc026d0962a82d1f43c5daf3bec
http://arxiv.org/abs/1803.08394
http://arxiv.org/abs/1803.08394
Publikováno v:
WACV
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b10c98776b4670bc364eb86b9fca557
https://doi.org/10.1109/wacv.2017.133
https://doi.org/10.1109/wacv.2017.133