Research on Convolution Neural Network in Iris Recognition Technology
Zhang Wenqiang, Wang Changyuan, Jia Hongbo, Xue Pengxiang
Available Online April 2018.
- 10.2991/icsnce-18.2018.48How to use a DOI?
- Iris; Convolution Neural Network; Model; Abstract Features
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.
- © 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 -