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.
翻译：在本研究报告中,作者将研究虹膜的检测和分解及其对虹膜生物计量工具链总体性能的影响;作者将研究分解准确性是否符合地面真实性,是否可以作为iris生物计量工具链总体性能的预测器。也就是说:如果分解准确性得到改进,这是否总能改善总体性能?此外,作者将系统评估分解参数、学生和肢体边界以及正常化中心(以Daugman的橡胶表模型为基础)对虹膜生物计量工具链其余部分的影响。作者将调查准确找到这些参数是否重要,以及这种一致性如何影响总体性能。
相关内容
微信扫码咨询专知VIP会员