The paradigm of embedding computing devices in our surrounding environment has gained more interestin recent days. Along with contemporary technology comes challenges, the most important being thesecurity and privacy aspect. Keeping the aspect of compactness and memory constraints of pervasivedevices in mind, the biometric techniques proposed for identification should be robust and dynamic. In this
work, we propose an emerging scheme that is based on few exclusive human traits and characteristicstermed as ocular biometrics, promising utmost security and reliability. Complex iris recognition andretinal scanning algorithms have been discussed which promises achievement of accurate results. Theperformance and vast applications of these algorithms on pervasive computing devices is also addressed.
%0 Journal Article
%1 noauthororeditor
%A Rachappa,
%A G, Divyajyothi M
%A Rao, Dr. D H
%D 2016
%J Advanced Computational Intelligence: An International Journal (ACII)
%K Advanced Authentication Biometrics Iris Pervasive Privacy Security computing recognition
%N 2
%P 8
%R 10.5121/acii.2016.3202
%T A NOVEL BIOMETRIC APPROACH FOR AUTHENTICATION IN PERVASIVE COMPUTING ENVIRONMENTS
%U http://aircconline.com/acii/V3N2/3216acii02.pdf
%V 3
%X The paradigm of embedding computing devices in our surrounding environment has gained more interestin recent days. Along with contemporary technology comes challenges, the most important being thesecurity and privacy aspect. Keeping the aspect of compactness and memory constraints of pervasivedevices in mind, the biometric techniques proposed for identification should be robust and dynamic. In this
work, we propose an emerging scheme that is based on few exclusive human traits and characteristicstermed as ocular biometrics, promising utmost security and reliability. Complex iris recognition andretinal scanning algorithms have been discussed which promises achievement of accurate results. Theperformance and vast applications of these algorithms on pervasive computing devices is also addressed.
@article{noauthororeditor,
abstract = {The paradigm of embedding computing devices in our surrounding environment has gained more interestin recent days. Along with contemporary technology comes challenges, the most important being thesecurity and privacy aspect. Keeping the aspect of compactness and memory constraints of pervasivedevices in mind, the biometric techniques proposed for identification should be robust and dynamic. In this
work, we propose an emerging scheme that is based on few exclusive human traits and characteristicstermed as ocular biometrics, promising utmost security and reliability. Complex iris recognition andretinal scanning algorithms have been discussed which promises achievement of accurate results. Theperformance and vast applications of these algorithms on pervasive computing devices is also addressed. },
added-at = {2017-11-16T12:33:40.000+0100},
author = {Rachappa and G, Divyajyothi M and Rao, Dr. D H},
biburl = {https://www.bibsonomy.org/bibtex/26209bc7f847f96938d54f72008f3373e/janakirob},
doi = {10.5121/acii.2016.3202},
interhash = {22d8d2fc82a49b2a73777695fc3ca190},
intrahash = {6209bc7f847f96938d54f72008f3373e},
issn = {2454 - 3934},
journal = {Advanced Computational Intelligence: An International Journal (ACII)},
keywords = {Advanced Authentication Biometrics Iris Pervasive Privacy Security computing recognition},
language = {English},
month = {April},
number = 2,
pages = 8,
timestamp = {2017-11-16T12:33:40.000+0100},
title = {A NOVEL BIOMETRIC APPROACH FOR AUTHENTICATION IN PERVASIVE COMPUTING ENVIRONMENTS },
url = {http://aircconline.com/acii/V3N2/3216acii02.pdf},
volume = 3,
year = 2016
}