Journal of Robotics, Networking and Artificial Life

Volume 2, Issue 3, December 2015, Pages 162 - 165

Research on the BP-network-based Iris Recognition

Authors
Fengzhi Dai, Li Fan, Chunyu Yu, Bo Liu, Ruixiang Bai
Corresponding Author
Fengzhi Dai
Available Online 1 December 2015.
DOI
https://doi.org/10.2991/jrnal.2015.2.3.6How to use a DOI?
Keywords
iris recognition, artificial neural network, back propagation algorithm, pattern recognition
Abstract

Iris recognition is the highly trusted identification recognition technology among methods of biological recognition. In this paper, we use the back propagation algorithm to train the neural network, so as to establish the iris recognition system model. The experiment demonstrates that it has a high recognition rate and the recognition speed is reasonable. The proposed method provides a convenient way for iris recognition.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
2 - 3
Pages
162 - 165
Publication Date
2015/12/01
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
https://doi.org/10.2991/jrnal.2015.2.3.6How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Fengzhi Dai
AU  - Li Fan
AU  - Chunyu Yu
AU  - Bo Liu
AU  - Ruixiang Bai
PY  - 2015
DA  - 2015/12/01
TI  - Research on the BP-network-based Iris Recognition
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 162
EP  - 165
VL  - 2
IS  - 3
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2015.2.3.6
DO  - https://doi.org/10.2991/jrnal.2015.2.3.6
ID  - Dai2015
ER  -