Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Andrew Teoh Beng Jin"'
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2011 (2011)
Graph-based subspace learning is a class of dimensionality reduction technique in face recognition. The technique reveals the local manifold structure of face data that hidden in the image space via a linear projection. However, the real world face d
Externí odkaz:
https://doaj.org/article/c53b8b6c264a4019b2df9ed0c20e5b65
Publikováno v:
BTAS
Cancellable biometrics (CB) as a means for biometric template protection approach refers to an irreversible yet similarity preserving transformation on the original template. With similarity preserving property, the matching between template and quer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef8c0c7319e87b842627034ccdafaa03
http://arxiv.org/abs/1905.03021
http://arxiv.org/abs/1905.03021
Publikováno v:
Journal of Visual Communication and Image Representation. 22:634-642
In this paper, we present a novel and effective feature extraction technique for face recognition. The proposed technique incorporates a kernel trick with Graph Embedding and the Fisher's criterion which we call it as Kernel Discriminant Embedding (K
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a2045c955f066f3a27fa221719cf767
https://doi.org/10.1016/j.jvcir.2011.07.009
https://doi.org/10.1016/j.jvcir.2011.07.009
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2011 (2011)
Graph-based subspace learning is a class of dimensionality reduction technique in face recognition. The technique reveals the local manifold structure of face data that hidden in the image space via a linear projection. However, the real world face d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58ff6bdd6a80e9b5031c41b433f689b8
https://doi.org/10.1155/2011/521935
https://doi.org/10.1155/2011/521935
Publikováno v:
Journal of Visual Communication and Image Representation. 20:532-542
In this paper, we present an effective technique on discriminative feature extraction for face recognition. The proposed technique incorporates Graph Embedding and the Fisher's criterion where we call it as Neighbourhood Preserving Discriminant Embed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84b6ee97b40bd68737a78be15adc09f0
https://doi.org/10.1016/j.jvcir.2009.08.003
https://doi.org/10.1016/j.jvcir.2009.08.003
The three volume set LNCS 8834, LNCS 8835, and LNCS 8836 constitutes the proceedings of the 20th International Conference on Neural Information Processing, ICONIP 2014, held in Kuching, Malaysia, in November 2014. The 231 full papers presented were c
Publikováno v:
Journal of Applied Sciences. 7:2947-2956
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cd73fea99daaa8bf31bf5d1577a9d2e
https://doi.org/10.3923/jas.2007.2947.2956
https://doi.org/10.3923/jas.2007.2947.2956
Publikováno v:
Information Management & Computer Security. 15:313-328
PurposeThis paper aims to address some of the practical and security problems when using fingerhash to secure biometric key for protecting digital contents.Design/methodology/approachStudy the two existing directions of biometric‐based key generati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39e87741bf1bc42193687c0829368516
https://doi.org/10.1108/09685220710817824
https://doi.org/10.1108/09685220710817824
Autor:
Tee Connie, Andrew Teoh Beng Jin
Publikováno v:
Neurocomputing. 69:2461-2464
Biometric characteristics are immutable and hence their compromise is permanent. To address this problem, cancelable biometrics was introduced to denote biometric templates that can be canceled and replaced. BioHash is a form of cancelable biometrics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab4205b1a03c1b9bb41f5b8669c183d4
https://doi.org/10.1016/j.neucom.2006.01.024
https://doi.org/10.1016/j.neucom.2006.01.024
Publikováno v:
Computer Vision and Image Understanding. 102:169-177
A dual-factor authentication methodology coined as S-Iris Encoding is proposed based on the iterated inner-products between the secret pseudo-random number and the iris feature, and with thresholding to produce a unique compact binary code per person
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b74c53216e0b05a0833fcbd55865903
https://doi.org/10.1016/j.cviu.2006.01.002
https://doi.org/10.1016/j.cviu.2006.01.002