Segmentation-free Direct Iris Localization Networks
- URL: http://arxiv.org/abs/2210.10403v1
- Date: Wed, 19 Oct 2022 09:13:39 GMT
- Title: Segmentation-free Direct Iris Localization Networks
- Authors: Takahiro Toizumi and Koichi Takahashi and Masato Tsukada
- Abstract summary: This paper proposes an efficient iris localization method without using iris segmentation and circle fitting.
We propose an iris localization network (ILN) that can directly localize pupil and iris circles with eyelid points from a low-resolution iris image.
We also introduce a pupil refinement network (PRN) to improve the accuracy of pupil localization.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: This paper proposes an efficient iris localization method without using iris
segmentation and circle fitting. Conventional iris localization methods first
extract iris regions by using semantic segmentation methods such as U-Net.
Afterward, the inner and outer iris circles are localized using the traditional
circle fitting algorithm. However, this approach requires high-resolution
encoder-decoder networks for iris segmentation, so it causes computational
costs to be high. In addition, traditional circle fitting tends to be sensitive
to noise in input images and fitting parameters, causing the iris recognition
performance to be poor. To solve these problems, we propose an iris
localization network (ILN), that can directly localize pupil and iris circles
with eyelid points from a low-resolution iris image. We also introduce a pupil
refinement network (PRN) to improve the accuracy of pupil localization.
Experimental results show that the combination of ILN and PRN works in 34.5 ms
for one iris image on a CPU, and its localization performance outperforms
conventional iris segmentation methods. In addition, generalized evaluation
results show that the proposed method has higher robustness for datasets in
different domain than other segmentation methods. Furthermore, we also confirm
that the proposed ILN and PRN improve the iris recognition accuracy.
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