Image Quality Evaluation for Video Iris Recognition in the Visible Spectrum
Image Quality Evaluation for Video Iris Recognition in the Visible Spectrum
复制标题
可见光谱视频虹膜识别的图像质量评估
DOI：
10.29011/2577-2260.100044
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Osdel Hernandez
中科院分区：
文献类型：
--
作者：
Eduardo Garea;D. Osorio;Osdel Hernandez
在当前视频监控摄像机和移动设备广泛使用的背景下，基于可见光光谱的人眼图像采集对于虹膜识别具有重要的意义。这种模式可以从眼睛区域的视频捕获中提供更多信息，但捕获的图像必须具有允许有效识别过程的质量。本文提出了一种基于可见光光谱的视频虹膜识别方法。它基于一种方案，其新奇之处在于可以在视频捕获过程中同时评估眼睛图像的质量。提出了一种衡量图像质量的方法，该方法考虑了国际标准化组织/国际电工委员会19794-62005标准中定义的元素，并将其与自动检测方法相结合。在三个国际数据库和自己的视频数据库上开发的实验证明了该提议的相关性。DOI：10.29011/2577-2260.00044
Video-based eye image acquisition in the visible spectrum for iris recognition has taken great importance in the current context of the extensive use of video surveillance cameras and mobile devices. This modality can provide more information from the video capture of the eye region, but it is essential that the images captured have a quality that allows an effective recognition process. In this work, an approach for video iris recognition in the visible spectrum is presented. It is based on a scheme whose novelty is in the possibility of evaluating the quality of the eye image simultaneously with the process of video capturing. A measure of image quality that takes into account the elements defined in the ISO / IEC 19794-6 2005 standard and its combination with automatic detection methods is proposed. The experiments developed on three international databases and own video database demonstrate the relevance of the proposal. DOI: 10.29011/ 2577-2260. 00044