Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Umarani Jayaraman"'
Publikováno v:
Multimedia Tools and Applications. 81:4143-4162
Visible face recognition systems are subjected to failure when recognizing the faces in unconstrained scenarios. So, recognizing faces under variable and low illumination conditions are more important since most of the security breaches happen during
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa75a5d0d8e08c59bea38bf44c47a5a0
https://doi.org/10.1007/s11042-021-11728-9
https://doi.org/10.1007/s11042-021-11728-9
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031314063
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c56f29d298134b9f6a1ba423773810c3
https://doi.org/10.1007/978-3-031-31407-0_48
https://doi.org/10.1007/978-3-031-31407-0_48
Autor:
Umarani Jayaraman, Phalguni Gupta
Publikováno v:
Neurocomputing. 452:623-652
The problem of pursuing the data items of a large database whose distances to a query item are the least is known as Similarity Search (Nearest Neighbor Search) problem. There exist various algorithms to address this problem. Some of the well known a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74c1e8da9ee9bd60d30642bc2fad5e95
https://doi.org/10.1016/j.neucom.2020.08.084
https://doi.org/10.1016/j.neucom.2020.08.084
Publikováno v:
Multimedia Tools and Applications. 81:13159-13178
Biometric technologies such as the face, fingerprint, and iris recognition have important utility in biomedical and healthcare applications. The use of biometrics in these applications ensures that critical medical information and access to secure pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ef9a90be973759e0f51fe6f3e8c9ab9
https://doi.org/10.1007/s11042-020-10161-8
https://doi.org/10.1007/s11042-020-10161-8
Publikováno v:
Neurocomputing. 408:231-245
Face stands out as a preferable biometric trait for automatic human authentication as it is intuitive and non-intrusive. This paper investigates various feature-based automatic face recognition approaches in detail. High degree of freedom in head mov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad99dd6ef77076f27ab37eefe368be06
https://doi.org/10.1016/j.neucom.2019.08.110
https://doi.org/10.1016/j.neucom.2019.08.110
Publikováno v:
Computers in Biology and Medicine. 154:106571
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea463c39f52533dba86c0b12c6c32ac7
https://doi.org/10.1016/j.compbiomed.2023.106571
https://doi.org/10.1016/j.compbiomed.2023.106571
Publikováno v:
2021 IEEE Madras Section Conference (MASCON).
Gender classification contributes promising position in a spectrum of utilities in digital platforms like digital purchase, content based retrieval, decision making, searching, forensics and demographic studies. Face recognition system is highly used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92d75a005c314331eb874530ab105bbc
https://doi.org/10.1109/mascon51689.2021.9563425
https://doi.org/10.1109/mascon51689.2021.9563425
Publikováno v:
Biomedical Signal Processing and Control. 78:103939
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02fc30b7d3de4333cba8d68b722bdc1d
https://doi.org/10.1016/j.bspc.2022.103939
https://doi.org/10.1016/j.bspc.2022.103939
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811610851
CVIP (1)
CVIP (1)
Glioma is a prevalent and deadly form of brain tumor. Most of the existing models have used 2D MRI slices for general tumor classification. In this paper, a 3D convolutional neural network has been proposed to automatically classify gliomas namely, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7aeb3750c582c17d892139a0a2a103e
https://doi.org/10.1007/978-981-16-1086-8_29
https://doi.org/10.1007/978-981-16-1086-8_29
Publikováno v:
2020 IEEE 4th Conference on Information & Communication Technology (CICT).
Visible face recognition security systems fail to recognize the faces in total darkness. Near Infrared (NIR) spectrum provides an affordable and effectual method to capture good quality images in poor lighting or complete darkness condition. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76c0c43b6d415735872301f7a9a0d5fa
https://doi.org/10.1109/cict51604.2020.9312106
https://doi.org/10.1109/cict51604.2020.9312106