文章基本信息

标题：A Novel Iris Recognition System Using Statistical Feature Analysis By Haar Wavelet
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作者：S.Balaji ; G.Gayathri ; K.Lokesh 等
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2011
卷号：2
期号：6
页码：2659-2662
出版社：TechScience Publications
摘要：Identity verification becomes a challenging task when it has to be automated with high accuracy and nonrepudiability. This task is easily performed by the concept of biometrics. Biometrics deals with identification of individuals based on their biological or behavioural characteristics. Biometric recognition can be used in identification mode, where the biometric system identifies a person from the entire enrolled population by searching a database for a match. In biometrics, recognition of individual may be made on many human traits. Such as face, iris, handprint, signature, voice, watermarking, finger prints, retina, heart beat etc.. Iris recognition is one of the important biometrically based recognition. The biomedical literature suggests that irises are as distinct as fingerprints or patterns of retinal blood vessels. Iris scanning can be used quickly for both identification and verification applications because of its large number of degrees of freedom. This paper includes various concepts, Pre-processing, Segmentation, Normalization, Haar Wavelet Transformation, Statistical Feature Extraction and Feature Matching. In this paper, the matching of the two iris patterns using hamming distance method, which gives an accurate result.
关键词：preprocessing; segmentation; Haar wavelet; feature;extraction; feature matching.olding.