Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Anjith George"'
Autor:
Mathias Ibsen, Christian Rathgeb, Fabian Brechtel, Ruben Klepp, Katrin Poppelmann, Anjith George, Sebastien Marcel, Christoph Busch
Publikováno v:
IEEE Access, Vol 11, Pp 57867-57879 (2023)
Face recognition systems are widely deployed for biometric authentication. Despite this, it is well-known that, without any safeguards, face recognition systems are highly vulnerable to presentation attacks. In response to this security issue, severa
Externí odkaz:
https://doaj.org/article/0ddabf954b9341ea8cc11be1cd7a3dc4
Autor:
Anjith George, Aurobinda Routray
Publikováno v:
IET Computer Vision, Vol 10, Iss 7, Pp 660-669 (2016)
Iris centre (IC) localisation in low‐resolution visible images is a challenging problem in computer vision community due to noise, shadows, occlusions, pose variations, eye blinks etc. This study proposes an efficient method for determining IC in l
Externí odkaz:
https://doaj.org/article/765045d55733485eb3393562480d7125
Autor:
Anjith George, Sébastien Marcel
Publikováno v:
Handbook of Biometric Anti-Spoofing ISBN: 9789811952876
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf0154ab3bc172fc738f00c8ec88ccba
https://doi.org/10.1007/978-981-19-5288-3_11
https://doi.org/10.1007/978-981-19-5288-3_11
Heterogeneous Face Recognition (HFR) refers to matching face images captured in different domains, such as thermal to visible images (VIS), sketches to visible images, near-infrared to visible, and so on. This is particularly useful in matching visib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b010dcd57c235da2c7b75966b0bc2b1e
http://arxiv.org/abs/2210.06529
http://arxiv.org/abs/2210.06529
Publikováno v:
IEEE Transactions on Biometrics, Behavior, and Identity Science. 2:399-409
This paper addresses the problem of face presentation attack detection using different image modalities. In particular, the usage of short wave infrared (SWIR) imaging is considered. Face presentation attack detection is performed using recent models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c22c44b0bdae0a20e8f565295164e24c
https://doi.org/10.1109/tbiom.2020.3010312
https://doi.org/10.1109/tbiom.2020.3010312
Autor:
Zafer Yildiz, Zabi Ghafoory, Meiling Fang, Alperen Kantarci, Hazim Kemal Ekenel, Stephanie Schuckers, Sandip Purnapatra, Amir H. Mohammadi, Thirimachos Bourlai, Priyanka Das, Hasan Dertli, Liu Junfu, Hao Zhanlong, David Yambay, Jag Mohan Singh, Naser Damer, Arjan Kuijper, Basar Demir, Anjith George, Samuel Huang, Samo Liu, Liang Dashuang, Son Tuan Vu, Fadi Boutros, Raghavendra Ramachandra, Salieri Kuei, Keivan Bahmani, Sébastien Marcel, Zhang Guanghao, Jin Yufeng, Nic Smalt, Vassilis Christophides
Publikováno v:
IJCB
Liveness Detection (LivDet)-Face is an international competition series open to academia and industry. The competition’s objective is to assess and report state-of-the-art in liveness / Presentation Attack Detection (PAD) for face recognition. Impe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1dd066c7df86189deffdf69445377a0
https://doi.org/10.1109/ijcb52358.2021.9484359
https://doi.org/10.1109/ijcb52358.2021.9484359
Autor:
Sébastien Marcel, Anjith George
Publikováno v:
CVPR
Automatic methods for detecting presentation attacks are essential to ensure the reliable use of facial recognition technology. Most of the methods available in the literature for presentation attack detection (PAD) fails in generalizing to unseen at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8851686790be0fad5d484185dec867b
http://arxiv.org/abs/2103.00948
http://arxiv.org/abs/2103.00948
Autor:
Sébastien Marcel, Anjith George
Publikováno v:
Advances in Computer Vision and Pattern Recognition ISBN: 9783030746964
Face recognition has emerged as a widely used biometric modality. However, its vulnerability to presentation attacks remains a significant security threat. Although Presentation Attack Detection (PAD) methods attempt to remedy this problem, often the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77df07866f165919f5c42a776d3b6247
https://doi.org/10.1007/978-3-030-74697-1_13
https://doi.org/10.1007/978-3-030-74697-1_13
Autor:
Aurobinda Routray, Anjith George
Publikováno v:
Pattern Recognition Letters. 82:207-215
This paper proposes a novel framework for the use of eye movement patterns for biometric applications. Eye movements contain abundant information about cognitive brain functions, neural pathways, etc. In the proposed method, eye movement data is clas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e7fe08bdbea36fbcdbe79b49b3937db
https://doi.org/10.1016/j.patrec.2015.11.020
https://doi.org/10.1016/j.patrec.2015.11.020
Autor:
Elshibani Omar, Fevziye Irem Eyiokur, Reza Safdaii, Adii Ahmad, Yuxiang Zhou, Vitomir Struc, Ziga Emersic, Dogucan Yaman, Hazim Kemal Ekenel, Peter Peer, Anjith George, Terrance E. Boult, Dejan Stepec, Stefanos Zafeiriou
Publikováno v:
IJCB
In this paper we present the results of the Unconstrained Ear Recognition Challenge (UERC), a group benchmarking effort centered around the problem of person recognition from ear images captured in uncontrolled conditions. The goal of the challenge w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a79a1f9f4b1187f1b4b1ee40e1ada560
http://arxiv.org/abs/1708.06997
http://arxiv.org/abs/1708.06997