@inproceedings{5d47564667e5455dad5a40bcf8752925,
title = "A New Sclera Segmentation and Vessels Extraction Method for Sclera Recognition",
abstract = "As a unique biometric trait, the research of sclera blood vessels have becomes active recently, because the sclera vessels can be captured under visible-wavelength light condition rather than near infrared light condition. However, the performance of sclera identification system degrades a lot due to unsatisfactory sclera segmentation and tedious extraction process. In this paper, we propose a novel sclera segmentation algorithm and an improved sclera vessels extraction method. The accurate and efficient sclera segmentation method is proposed based on improved OSTU algorithm. Besides, the vessels extraction method is put forward by adaptive histogram equalization method and Gabor filters. The experimental results on UBIRIS.vl database prove that the proposed sclera vessels extraction algorithm performs well and the sclera segmentation method has an obvious improvement in terms of efficiency and accuracy over than other segmentation algorithms.",
keywords = "Gabor filters, loacl OSTU, sclera segmentation, vessels extraction",
author = "Wei Dong and Han Zhou and Dong Xu",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 10th International Conference on Communication Software and Networks, ICCSN 2018 ; Conference date: 06-07-2018 Through 09-07-2018",
year = "2018",
month = oct,
day = "9",
doi = "10.1109/ICCSN.2018.8488229",
language = "英语",
series = "2018 10th International Conference on Communication Software and Networks, ICCSN 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "552--556",
booktitle = "2018 10th International Conference on Communication Software and Networks, ICCSN 2018",
address = "美国",
}