首页> 外文会议>IEEE International Carnahan Conference on Security Technology >Evidence of correlation between fingerprint quality and skin attributes
【24h】

Evidence of correlation between fingerprint quality and skin attributes

机译:指纹质量与皮肤属性之间相关的证据

获取原文

摘要

The purpose of this paper is to find whether there is any evidence of correlation between fingerprint quality and the factors of skin texture, keratin level, skin pigmentation, skin color, skin temperature, elasticity, and finger minutiae. In simpler terms, the goal was to see if and which finger characteristics affected the readability of the fingerprint. To achieve this goal, about 8000 random samples were collected from the fingers of 80 different subjects. The sensors collected data involving skin texture, keratin level, skin pigmentation, skin color, temperature, elasticity, and the amount of minutiae present on the finger. The sensors also collected the image quality of each fingerprint. This measurement is highly correlated with fingerprint scanner effectiveness and was therefore used as a representation of fingerprint readability in the experiment. A best subset test was run between the aforementioned factors and image quality in Minitab. This function tests all of the possible linear models that could be created by combining the factors against image quality and gives 2 results. The 1st result are the determined best models and the second are the statistics that tell the user how effective the models are. A model using all of the factors except pigmentation was used as the best model. However, this model only had an R2 value of 2.4, which meant that the model could only explains 2.4% of the image quality data. This provides strong evidence that there is no linear relationship between the factors and fingerprint image quality, and therefore fingerprint scanner effectiveness. In order to address the possibility of a nonlinear relationship between the factors and image quality, each factor was plotted on a graph against image quality. If the variable had a nonlinear relationship with image quality, a pattern would appear on the graph. No convincing pattern appeared on any of the graphs, which gave evidence that there is also no nonlinear relationship between the finger factors and image quality. This, combined with the previous finding concerning linear relationships, allows us to state that there is strong evidence that the factors do not correlate with fingerprint scanner effectiveness.
机译:本文的目的是找到指纹质量与皮肤纹理,角蛋白水平,皮肤色素沉着,肤色,皮肤温度,弹性和手指细节之间有任何相关性的证据。简化术语,目标是看出哪些手指特征影响指纹的可读性。为了实现这一目标,从80个不同受试者的手指收集约8000个随机样品。传感器收集了涉及皮肤纹理,角蛋白水平,皮肤色素沉着,肤色,温度,弹性的数据的数据,以及手指上存在的细节的量。传感器还收集了每个指纹的图像质量。该测量与指纹扫描仪有效性高度相关,因此用作实验中指纹可读性的表示。在Minitab的上述因素和图像质量之间运行最佳的子集测试。该功能测试所有可能通过组合图像质量的因素来创建的所有可能的线性模型,并提供2个结果。第一个结果是所确定的最佳模型,第二个是统计数据,告诉用户模型如何有效。使用除色素沉着之外的所有因素的模型被用作最佳模型。但是,该模型仅具有2.4的R2值,这意味着该模型只能解释2.4%的图像质量数据。这提供了强有力的证据表明,因子和指纹图像质量之间没有线性关系,因此是指纹扫描仪的有效性。为了解决因素和图像质量之间非线性关系的可能性,每个因素都被绘制在图表上反对图像质量。如果变量具有与图像质量的非线性关系,则图形上会出现模式。任何图表都不出现令人信服的模式,这给了一种证据表明手指因子和图像质量之间也没有非线性关系。这与先前的关于线性关系的发现相结合,使我们能够说明有很大的证据表明因素与指纹扫描仪效果不相关。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号