Biometrics, Personal Identification in Networked Society: Personal Identification in Networked Society
High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Personal Identification Based on Iris Texture Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
A human identification technique using images of the iris andwavelet transform
IEEE Transactions on Signal Processing
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Iris Recognition is a most secure biometric authentication that uses pattern-recognition techniques. This paper explores an iris image synthesis method based on Principal Component Analysis (PCA), Independent component analysis (ICA) and Daugman's rubber sheet model& hybrid model is proposed. Here we compared different techniques i.e. ICA, PCA, Daugman's rubber sheet model & hybrid model which combination of all above three along with RFID system. Existing system shows that Daugman's rubber sheet model is better. After implementation comparative study will produce interesting results that will change the traditional considerations.