A Lightweight Multi-Label Segmentation Network for Mobile Iris Biometrics | |
Wang Caiyong1,3; Wang Yunlong3; Xu Boqiang1,3; He Yong3; Dong Zhiwei2; Sun Zhenan1,3 | |
2020-05 | |
会议日期 | 4-8 May 2020 |
会议地点 | Barcelona, Spain |
DOI | 10.1109/ICASSP40776.2020.9054353 |
页码 | 1006-1010 |
英文摘要 | This paper proposes a novel, lightweight deep convolutional neural network specifically designed for iris segmentation of noisy images acquired by mobile devices. Unlike previous studies, which only focused on improving the accuracy of segmentation mask using the popular CNN technology, our method is a complete end-to-end iris segmentation solution, i.e., segmentation mask and parameterized pupillary and limbic boundaries of the iris are obtained simultaneously, which further enables CNN-based iris segmentation to be applied in any regular iris recognition systems. By introducing an intermediate pictorial boundary representation, predictions of iris boundaries and segmentation mask have collectively formed a multi-label semantic segmentation problem, which could be well solved by a carefully adapted stacked hourglass network. Experimental results show that our method achieves competitive or state-of-the-art performance in both iris segmentation and localization on two challenging mobile iris databases. |
语种 | 英语 |
URL标识 | 查看原文 |
资助项目 | National Natural Science Foundation of China[U1836217] ; National Natural Science Foundation of China[61427811] ; National Key Research and Development Program of China[2017YFC0821602] |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/39131] |
专题 | 自动化研究所_智能感知与计算研究中心 |
通讯作者 | Sun Zhenan |
作者单位 | 1.University of Chinese Academy of Sciences 2.University of Science and Technology Beijing 3.Institute of Automation, Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Wang Caiyong,Wang Yunlong,Xu Boqiang,et al. A Lightweight Multi-Label Segmentation Network for Mobile Iris Biometrics[C]. 见:. Barcelona, Spain. 4-8 May 2020. |
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