论文标题
有关虹膜分割对识别率的影响的实验分析
Experimental analysis regarding the influence of iris segmentation on the recognition rate
论文作者
论文摘要
在这项研究中，作者将研究虹膜的检测和分割及其对虹膜生物测量工具链整体性能的影响。作者将检查基于与地面真理的一致性的分割精度是否可以作为虹膜生物测定工具链总体性能的预测指标。也就是说：如果提高了细分精度，这始终会提高整体性能吗？此外，作者将系统地评估分割参数，瞳孔和边缘边界以及标准化中心（基于Daugman的橡皮图模型）对IRIS-Biimetric工具链的其他影响。作者将调查是否准确地找到这些参数很重要，以及在分割过程中提取相同精确区域的一致性，从而影响整体性能。
In this study the authors will look at the detection and segmentation of the iris and its influence on the overall performance of the iris-biometric tool chain. The authors will examine whether the segmentation accuracy, based on conformance with a ground truth, can serve as a predictor for the overall performance of the iris-biometric tool chain. That is: If the segmentation accuracy is improved will this always improve the overall performance? Furthermore, the authors will systematically evaluate the influence of segmentation parameters, pupillary and limbic boundary and normalisation centre (based on Daugman's rubbersheet model), on the rest of the iris-biometric tool chain. The authors will investigate if accurately finding these parameters is important and how consistency, that is, extracting the same exact region of the iris during segmenting, influences the overall performance.
