期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2017
卷号：6
期号：3
页码：325-331
出版社：IJCSN publisher
摘要：Biometric is the measurement and statistical analysis of human body characteristics. Biometric recognition is the use of
biological measurements of an individual for identification purposes. Iris recognition system include image acquisition, Segmentation,
normalization, features extraction, encoding and classification. Iris images are downloaded from CASIA Iris V1.0 database. Canny edge
detection is used to detect the edges of the eye image. Hough Transform is used to separate the iris region from the eye image. Also to
localize circular iris and pupil region of eye image, a circular Hough transform is used. Normalization technique convert the polar
coordinated into Cartesian coordinates. These Normalized image is used for feature extraction. Feature extraction is performed by
convolving the normalized iris region with Gabor wavelet, GLCM, etc. Depend on different features selection methods, find the feature
set. Finally to classify the eye images using SVM and ANN classifiers depends on features extracted from the database images.
