Zobrazeno 1 - 10
of 119
pro vyhledávání: '"Hemantha Kumar, G."'
Publikováno v:
In Pattern Recognition May 2011 44(5):1076-1088
Publikováno v:
In Pattern Recognition 2011 44(2):401-411
Publikováno v:
In Procedia Computer Science 2010 2:207-212
Publikováno v:
In Procedia Computer Science 2010 2:181-187
Publikováno v:
In Engineering Applications of Artificial Intelligence 2008 21(4):658-668
Publikováno v:
International Journal of Advanced Research in Computer Science. 9:105-109
Achieving performance and robustness simultaneously for an automated biometric system is crucial to prove that it is robust to real time noise encounters which determines the expected behavior of the system with the employed feature extraction algori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f4b2c7f20c0282c247317f1639afb2a
https://doi.org/10.26483/ijarcs.v9i3.5920
https://doi.org/10.26483/ijarcs.v9i3.5920
Publikováno v:
Automatika: Journal for Control, Measurement, Electronics, Computing & Communications; Jul2022, Vol. 63 Issue 2, p378-398, 21p
Publikováno v:
2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT).
In this paper, biometric verification system is built adopting five physiological traits. We have opted to choose score level fusion, due to its ease in accessing and combining scores generated by different matchers. In our work, we have explored sim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29cf63c48fff6fd27f619d41ad82dcdd
https://doi.org/10.1109/icecct.2019.8869429
https://doi.org/10.1109/icecct.2019.8869429
Publikováno v:
ICACCI
In this work, we have proposed novel deep CNN framework architectures that effectively represent complex image characteristics which performs feature extraction in just two convolution layers and has successfully proved to be an reliable biometric ve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95e8e21de7420fc4613f61df58cb61e3
https://doi.org/10.1109/icacci.2018.8554683
https://doi.org/10.1109/icacci.2018.8554683