Iris eyelid detection based on adaptive sectional line fitting

DOI

10.2991/jimet-15.2015.19How to use a DOI?

Keywords

Iris recognition, Eyelid detection, Sectional straight line, Mathematical morphology

Abstract

It is the premise condition of iris recognition that we segment iris image effectively. Most of the iris images are interfered by eyelid, so it is important for iris image segmentation that detecting eyelid accurately. An iris eyelid detection method based on adaptive sectional line fitting was presented in this paper. The knowledge about edge detection and mathematical morphology is applicable to detect the eyelid area adaptively. The result shows our method can detect the corresponding eyelid area accurately and effectively compared to traditional eyelid detection methods.

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/).

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TY  - CONF
AU  - Ji Xiaocun
AU  - Chen Houjin
AU  - Li Jupeng
PY  - 2015/12
DA  - 2015/12
TI  - Iris eyelid detection based on adaptive sectional line fitting
BT  - Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference
PB  - Atlantis Press
SP  - 97
EP  - 101
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimet-15.2015.19
DO  - 10.2991/jimet-15.2015.19
ID  - Xiaocun2015/12
ER  -