Study on Parameters Setting of Chan and Vese Model to Iris Segmentation

DOI

10.2991/icitmi-15.2015.80How to use a DOI?

Keywords

Level set; Iris segmentation; Chan-Vese model; Parameter setting

Abstract

Iris recognition plays an important role in personal identification. The first and critical step in the process of an iris recognition system is iris segmentation. In this study, several aspects are done. Firstly, the fundamental of Chan-Vese level set is described. Secondly, the process of related parameters setting of CV model is analyzed when CV model is used to pupil and iris segmentation. Finally, some conclusions are drawn. Some iris image from Institute of Automation, Chinese Academy of Science (CASIA) -V1 and CASIA-V3 Interval are taken as experimental samples. The experimental results show that appropriate parameters setting will help improve iris image segmentation effect.

Copyright

© 2015, 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/).

Download article (PDF)

TY  - CONF
AU  - Ying Chen
AU  - Fengyu Yang
PY  - 2015/10
DA  - 2015/10
TI  - Study on Parameters Setting of Chan and Vese Model to Iris Segmentation
BT  - Proceedings of the 4th International Conference on Information Technology and Management Innovation
PB  - Atlantis Press
SP  - 494
EP  - 499
SN  - 2352-538X
UR  - https://doi.org/10.2991/icitmi-15.2015.80
DO  - 10.2991/icitmi-15.2015.80
ID  - Chen2015/10
ER  -