@inproceedings{40023f9ecbbf4d778c812602fa8c5925,
title = "Combining multiple color components for efficient visible spectral iris localization",
abstract = "Iris localization is the prerequisite for the precise iris recognition. Compared with near-infrared iris images, the visible spectral iris images may have more fuzzy boundaries, which impair the iris detection. We can use multiple color components of different color spaces to realize the visible spectral iris localization. Firstly, the sclera is segmented and eyelids are located on α component image through contrast adjustment and polynomial fitting. Secondly, morphological processing and CHT (Circular Hough Transform) is applied to localize the limbic boundary on R component image. Similarly, the pupillary boundary is localized on R component image and α component image. Experimental results on visible spectral iris image dataset indicate that the proposed method has good performance on iris localization.",
keywords = "CHT, Color component, Visible spectral iris image localization",
author = "Xue Wang and Yuqing He and Kuo Pei and Mengmeng Liang and Jingxi He",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 11th Chinese Conference on Biometric Recognition, CCBR 2016 ; Conference date: 14-10-2016 Through 16-10-2016",
year = "2016",
doi = "10.1007/978-3-319-46654-5_40",
language = "English",
isbn = "9783319466538",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "366--373",
editor = "Shiguang Shan and Zhisheng You and Jie Zhou and Weishi Zheng and Yunhong Wang and Zhenan Sun and Jianjiang Feng and Qijun Zhao",
booktitle = "Biometric Recognition - 11th Chinese Conference, CCBR 2016, Proceedings",
address = "Germany",
}