원문정보
보안공학연구지원센터(IJSIA)
International Journal of Security and Its Applications
Vol.10 No.7
2016.07
pp.195-202
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In order to reduce the eyelash influencing on iris recognition rate, an eyelashes detection algorithm is proposed based on adaptive threshold. Based on the iris localization, gray morphological operation is used to accurately localize eyelids. According to the gray distribution of the parabolic pixel point after the upper eyelid parabolic moving down, the adaptive threshold is used to segment the eyelashes. The experimental results show that compared with the traditional eyelash detection algorithm, it is not necessary for the algorithm to set up more parameters, which embodies the simplicity to maximize the results of eyelash segmentation.
목차
Abstract
1. Introduction
2. The Iris Localization and Smooth Denoising
2.1. Iris Localization
2.2. Iris Image Denoising
2.3. CASIA Database
3. Iris Eyelid Detection
4. The Algorithm of the Eyelash Detection
5. The Results and Analysis of the Experiment
6. Conclusion
Acknowledgements
References
1. Introduction
2. The Iris Localization and Smooth Denoising
2.1. Iris Localization
2.2. Iris Image Denoising
2.3. CASIA Database
3. Iris Eyelid Detection
4. The Algorithm of the Eyelash Detection
5. The Results and Analysis of the Experiment
6. Conclusion
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보