Boundary Localization of Non-ideal Iris Images Based on Nonlinear Gray-Level Transformation

DOI

10.2991/icaiees-13.2013.7How to use a DOI?

Keywords

iris identification, biometrics, iris image preprocessing, iris localization, nonlinear gray-level transformation

Abstract

Boundary localization is one of the key issues in iris recognition system. For non-ideal iris images, some frequently-occurred cases such as dominant texture patterns, eyelashes or eyelids occlusions, low contrast between iris and sclera, and pupil deviation, will lead to inaccurate boundary localization. Specifically, if the intensive transition from iris to sclera is too smooth, outer boundary localization will be very difficult. To stress the problem, in this paper we propose the boundary localization method in which nonlinear gray-level transformation is innovated in outer boundary localization process. The experimental results depict that our algorithm have improved the localization accuracy for non-ideal iris compared to the classical algorithms

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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TY  - CONF
AU  - Haitao Yu
AU  - Jimin Yang
AU  - Honglin Wan
PY  - 2013/12
DA  - 2013/12
TI  - Boundary Localization of Non-ideal Iris Images Based on Nonlinear Gray-Level Transformation
BT  - Proceedings of the 2013 International Conference on Advanced Information Engineering and Education Science (ICAIEES 2013)
PB  - Atlantis Press
SP  - 22
EP  - 25
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaiees-13.2013.7
DO  - 10.2991/icaiees-13.2013.7
ID  - Yu2013/12
ER  -