G. Chandel, и A. Bhargava. International Journal of Innovative Science and Modern Engineering (IJISME), 1 (4):
21-24(марта 2013)
Аннотация
Biometrics is a best medium of identification .iris recognition used to recognize people by iris. I present the new method of iris recognition “iris recognition by neural network”. In this method first we collect the iris images and using image processing after this calculate the length of iris from left to right and top to bottom. Finally we use neural network for training and testing purpose .We have selected training algorithm and setting different parameter for training. CASIA iris database used in this work. Many types training and testing we get different results. We get best accuracy is 97.5%
%0 Journal Article
%1 noauthororeditor
%A Chandel, Gajendra Singh
%A Bhargava, Ankesh
%D 2013
%E Kumar, Dr. Shiv
%J International Journal of Innovative Science and Modern Engineering (IJISME)
%K Biometrics Feature extraction. iris network neural recognition
%N 4
%P 21-24
%T Identification of People by Iris Recognition
%U https://www.ijisme.org/wp-content/uploads/papers/v1i4/D0177031413.pdf
%V 1
%X Biometrics is a best medium of identification .iris recognition used to recognize people by iris. I present the new method of iris recognition “iris recognition by neural network”. In this method first we collect the iris images and using image processing after this calculate the length of iris from left to right and top to bottom. Finally we use neural network for training and testing purpose .We have selected training algorithm and setting different parameter for training. CASIA iris database used in this work. Many types training and testing we get different results. We get best accuracy is 97.5%
@article{noauthororeditor,
abstract = {Biometrics is a best medium of identification .iris recognition used to recognize people by iris. I present the new method of iris recognition “iris recognition by neural network”. In this method first we collect the iris images and using image processing after this calculate the length of iris from left to right and top to bottom. Finally we use neural network for training and testing purpose .We have selected training algorithm and setting different parameter for training. CASIA iris database used in this work. Many types training and testing we get different results. We get best accuracy is 97.5%},
added-at = {2021-09-22T11:58:32.000+0200},
author = {Chandel, Gajendra Singh and Bhargava, Ankesh},
biburl = {https://www.bibsonomy.org/bibtex/2406b8c7346190a3aee77cb3ba1ecc96d/ijisme_beiesp},
editor = {Kumar, Dr. Shiv},
interhash = {8998f1e29f150af0c6d6aa57808c774a},
intrahash = {406b8c7346190a3aee77cb3ba1ecc96d},
issn = {2319-6386},
journal = {International Journal of Innovative Science and Modern Engineering (IJISME)},
keywords = {Biometrics Feature extraction. iris network neural recognition},
language = {En},
month = {March},
number = 4,
pages = {21-24},
timestamp = {2021-09-22T11:58:32.000+0200},
title = {Identification of People by Iris Recognition},
url = {https://www.ijisme.org/wp-content/uploads/papers/v1i4/D0177031413.pdf},
volume = 1,
year = 2013
}