论文标题
基于视频的IRIS生物识别技术的学生的恋爱和跟踪
Pupil Lovalization And Tracking For Video-Based Iris Biometrics
论文作者
论文摘要
在本文中，我们对虹膜生物识别应用感兴趣。更确切地说，我们的贡献包括设计瞳孔检测和从低成本网络摄像头获得的视频序列的跟踪过程。我们方法的新颖性依赖于这样的事实，即即使使用最少的用户合作以及在不良的照明和获取条件下，它也是如此。强大的分类算法旨在检测学生。此外，应用基于扩展的卡尔曼过滤器的学生跟踪器，以减少处理时间。进行实验结果以评估提出的检测和跟踪系统的性能
In this paper, we are interested in iris biometric applications. More precisely, our contribution consists in designing both a pupil detection and a tracking procedure from video sequences acquired by low-cost webcams. The novelty of our approach relies on the fact that it is operational even with a minimal user cooperation and, under bad illuminations and acquisition conditions. A robust classification algorithm is designed to detect the pupil. Moreover, a pupil tracker based on the extended Kalman filter is applied in order to reduce the processing time. Experimental results are performed in order to evaluate the performances of the proposed detection and tracking system
