文章基本信息

标题：Periocular and Iris Feature Encoding - A Survey
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作者：Vibha S Rao ; P Ramesh Naidu
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：2015
卷号：3
期号：1
DOI：10.15680/ijircce.2015.0301023
出版社：S&S Publications
摘要：With the fast development of video hardware and software in recent years, intelligent video systemshave been widely used in industry, transportation, security, etc. at the same time, a lot of biometric technologies,comprising automated methods for uniquely recognizing people based on their physical or behavioural traits, such asface, fingerprint, palm print, finger-knuckle-print, gait, are also based on video or image analysis. Iris recognition isemerging as one of the important methods of biometrics-based identification systems. Several crucial factors GaitKeystroke pattern Signature of iris biometrics include rich and unique textures, non-invasiveness, and stability of irispattern throughout the person’s lifetime, public acceptance, and availability of user friendly capturing devices. Thesefactors have attracted the researchers to work in this evolving field over the past decade. The iris recognition consists ofiris localization, normalization, encoding and comparison. In this paper, segmentation of periocular features and theencoding part of iris recognition is analysed.
关键词：Iris features; Periocular features; Segmentation; GeoKey encoding