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：2017
卷号：5
期号：12
页码：17507
DOI：10.15680/IJIRCCE.2017.0512038
出版社：S&S Publications
摘要：This paper proposes the study and development of multimodal system which can be used foridentification system using human eye (iris and sclera) features as its input. Iris is circular shaped structure in the eyeand is responsible for controlling the diameter and size of the pupil and thus controlling the intensity of light reachingthe retina. The iris images captured are segmented and features are extracted using enhanced iris recognition system.Sclera has multilayered vessel structure and hence it poses challenge. Automatic segmentation and feature extractionare the two methods which are used for analyzing the sclera. During registration the templates containing the essentialfeatures are stored in database and during the identification process, the stored templates are retrieved from databaseand matched with the claimed identity. Fusion decision is taken while performing pattern matching. This system willprove effective and beneficial where all the other types of biometric system might fail individually.
