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- W2183971395 abstract "This paper is with authentication of people based on iris recognition. This is widely developing technology. The presented biometric method is compared with a database for identification, or verification. The process is based on the unique nature and extreme richness of the human iris. Iris recognition is feasible for use in differentiating between identical twins. Though the iris color and the overall statistical quality of the iris texture may be dependent on genetic factors, the textural details are independent and uncorrelated for genetically identical iris pairs. For determining the recognition performance of the system one databases of digitized grayscale eye images were used. The iris recognition system consists of an automatic segmentation system that is based on the Hough transform, and is able to localize the circular iris and pupil region, occluding eyelids and eyelashes, and reflections. The extracted iris region was then normalized into a rectangular block with constant dimensions to account for imaging inconsistencies. The Classification is done using 2D Log-Gabor Filter. The accuracy is obtained 99.96% with FAR and FRR is 0.00% and 0.0750% respectively." @default.
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- W2183971395 date "2014-01-01" @default.
- W2183971395 modified "2023-09-26" @default.
- W2183971395 title "Biometric Identification Using Matching Algorithm Method" @default.
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