利用可见光光源和近红外光源图像数据库识别虹膜:综述□

Swati D. Shirke, C. Rajabhushnam
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引用次数: 1

摘要

在大多数虹膜识别系统中,完整的图像约束是可以理解的。这些约束包括近红外(NIR)照明,以释放虹膜纹理和与捕获设备的近距离。在最近的进展中,不同的照明技术引入了在环境中捕获的图像。该环境包括一个可见光波长(VW)光源,距离捕获装置较近。为了准确地进行虹膜的远距离识别,眼睛图像需要改进有效的策略。通过使用虹膜远距离识别(IAAD)系统的实现。对于特征提取技术,近红外和大众图像是在非受控环境下拍摄的。针对虹膜识别的准确性提出了在公开可用数据库上与当代的比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Iris Recognition Using Visible Wavelength Light Source and Near Infrared Light Source Image Database: A Short Survey□
In most of the iris identification systems, the complete image constraints are understood. These Constrain include near-infrared (NIR) illumination to release the iris texture and close distance from the capturing device. In recent advances to different illumination technologies introduced in images captured in the environment. This environment includes a visible wavelength (VW) light source at-a-distance over the close distance from the capturing device. For accurate Iris identification at-a-distance, eye images require improvement of effective strategies. By using implementation of iris-identification-at-a-distance (IAAD) systems. For feature extraction technique for NIR and VW images were taken under uncontrolled environment. For the identification of iris accuracy on the publicly available databases proposed in comparison to the contemporary.
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