Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Ehsaneddin Jalilian"'
Autor:
Tuğçe Arıcan, Raymond Veldhuis, Luuk Spreeuwers, Loïc Bergeron, Christoph Busch, Ehsaneddin Jalilian, Christof Kauba, Simon Kirchgasser, Sébastien Marcel, Bernhard Prommegger, Kiran Raja, Raghavendra Ramachandra, Andreas Uhl
Publikováno v:
IET Biometrics, Vol 2024 (2024)
Finger vein recognition is gaining popularity in the field of biometrics, yet the inter-operability of finger vein patterns has received limited attention. This study aims to fill this gap by introducing a cross-device finger vein dataset and evaluat
Externí odkaz:
https://doaj.org/article/068612a31caa4ac587a134935dda2508
Publikováno v:
IET Biometrics, Vol 10, Iss 5, Pp 518-535 (2021)
Abstract Accurate segmentation and parameterisation of the iris in eye images still remain a significant challenge for achieving robust iris recognition, especially in off‐angle images captured in less constrained environments. While deep learning
Externí odkaz:
https://doaj.org/article/9658ed6d65e2443d8c8612c80f4783fa
Publikováno v:
Computers, Vol 12, Iss 5, p 98 (2023)
Collective cell movement is an indication of phenomena such as wound healing, embryonic morphogenesis, cancer invasion, and metastasis. Wound healing is a complicated cellular and biochemical procedure in which skin cells migrate from the wound bound
Externí odkaz:
https://doaj.org/article/2f7fbc844de941aa852e82a09de6d1a3
Publikováno v:
Sensors, Vol 22, Iss 7, p 2698 (2022)
Compression is a way of encoding digital data so that it takes up less storage and requires less network bandwidth to be transmitted, which is currently an imperative need for iris recognition systems due to the large amounts of data involved, while
Externí odkaz:
https://doaj.org/article/12834dba658d4861860097ba13c43209
Publikováno v:
IET Biometrics, Vol 10, Iss 5, Pp 518-535 (2021)
Accurate segmentation and parameterisation of the iris in eye images still remain a significant challenge for achieving robust iris recognition, especially in off‐angle images captured in less constrained environments. While deep learning technique
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::919d1e18e457d2436d228dad707b1b97
https://doaj.org/article/9658ed6d65e2443d8c8612c80f4783fa
https://doaj.org/article/9658ed6d65e2443d8c8612c80f4783fa
Autor:
Rudolf Schraml, Georg Wimmer, Heinz Hofbauer, Ehsaneddin Jalilian, Dinara Bekkozhayeva, Petr Cisar, Andreas Uhl
Publikováno v:
2022 30th European Signal Processing Conference (EUSIPCO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a9eb6f4b9e4d14bdceee179290e24c0
https://doi.org/10.23919/eusipco55093.2022.9909733
https://doi.org/10.23919/eusipco55093.2022.9909733
Autor:
Mohammadmehdi Saberioon, Andreas Uhl, Petr Cisar, Rudolf Schraml, Heinz Hofbauer, Dinara Bekkozhayeva, Ehsaneddin Jalilian
Publikováno v:
IEEE Transactions on Industrial Informatics
By bringing concepts of precision farming to intensive aquaculture fish production, it can be optimized to be more sustainable while focusing on fish welfare criteria. This requires a shift from mass to smart production and to consider each fish as a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eeccae0e058e99a0e08ad180f20f9972
https://doi.org/10.1109/tii.2020.3006933
https://doi.org/10.1109/tii.2020.3006933
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12dc47573b63fee90c5da195c8d3120f
https://doi.org/10.1109/icassp43922.2022.9746090
https://doi.org/10.1109/icassp43922.2022.9746090
Publikováno v:
Pattern Recognition Letters
CNN-based iris segmentations have been proven to be superior to traditional iris segmentation techniques in terms of segmentation error metrics. To properly utilize them in a traditional biometric recognition systems requires a parameterization of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0039c98409fd5c34558fcde0fca9f555
https://doi.org/10.1016/j.patrec.2018.12.021
https://doi.org/10.1016/j.patrec.2018.12.021
Publikováno v:
Pattern Recognition. ICPR International Workshops and Challenges ISBN: 9783030688202
ICPR Workshops (5)
ICPR Workshops (5)
Lossy image compression can reduce the space and bandwidth required for image storage and transmission, which is increasinly in demand by the iris recognition systems developers. Deep learning techniques (i.e. CNN, and GAN networks) are quickly becom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c452af2992ec2711dde337235ac5337d
https://doi.org/10.1007/978-3-030-68821-9_40
https://doi.org/10.1007/978-3-030-68821-9_40
