期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2018
卷号：6
期号：6
页码：6329-6336
DOI：10.15680/IJIRCCE.2018.0606035
出版社：S&S Publications
摘要：Iris recognition is an automated method of biometric identification that uses mathematical patternrecognition
techniques on video images of one or both of the irises of an individual's eyes, whose complex patterns are
unique, stable, and can be seen from some distance. The iris has remained a preferred biometric trait compared to other
biometrics because of its uniqueness, stability properties. However, degraded iris images captured under less
constrained acquisition setups and varying lighting conditions will affect the performance of iris based biometrics
systems. This system proposes an iris recognition or authentication system using Savitzky-Golay filter for iris feature
extraction. The approach also proves that the symbolic representation effectively handles noise and degradations,
including low resolution, specular reflection, and occlusion of eyelids present in the eye images and uses minimum
number of features to represent iris image. Here the proposed system provides better security outcomes with precise
feature extraction.
