Proceedings of the 2018 Second International Conference of Sensor Network and Computer Engineering (ICSNCE 2018)

Research on Convolution Neural Network in Iris Recognition Technology

Authors
Zhang Wenqiang, Wang Changyuan, Jia Hongbo, Xue Pengxiang
Corresponding Author
Zhang Wenqiang
Available Online April 2018.
DOI
10.2991/icsnce-18.2018.48How to use a DOI?
Keywords
Iris; Convolution Neural Network; Model; Abstract Features
Abstract

The iris recognition is mainly aimed at iris matching, and everyone has a different iris. In this paper, design an efficient Convolutional Neural Network for iris recognition. First need to preprocess the iris image and the iris region of the eye is extracted. And then, divide the iris area into eight rectangular regions, those sub-regions are put into the designed model, which can extract the iris abstract features and identify the iris. Finally, train the model by collecting large amounts of data and that the correctness of the model can reach about 99.0%, which can meet the requirement of iris recognition effectively.

Copyright
© 2018, 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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Volume Title
Proceedings of the 2018 Second International Conference of Sensor Network and Computer Engineering (ICSNCE 2018)
Series
Advances in Computer Science Research
Publication Date
April 2018
ISBN
10.2991/icsnce-18.2018.48
ISSN
2352-538X
DOI
10.2991/icsnce-18.2018.48How to use a DOI?
Copyright
© 2018, 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  - CONF
AU  - Zhang Wenqiang
AU  - Wang Changyuan
AU  - Jia Hongbo
AU  - Xue Pengxiang
PY  - 2018/04
DA  - 2018/04
TI  - Research on Convolution Neural Network in Iris Recognition Technology
BT  - Proceedings of the 2018 Second International Conference of Sensor Network and Computer Engineering (ICSNCE 2018)
PB  - Atlantis Press
SP  - 238
EP  - 241
SN  - 2352-538X
UR  - https://doi.org/10.2991/icsnce-18.2018.48
DO  - 10.2991/icsnce-18.2018.48
ID  - Wenqiang2018/04
ER  -