Design of Iris Recognition System Using Reverse Biorthogonal Wavelet for UBIRIS Database
نویسنده
چکیده
In recent years, iris recognition has become a popular recognition system as compare to the existing systems. It is an important biometric method for human identification with high accuracy. It is the most reliable and accurate biometric identification system available today. The most popular biometric types are: signature, face, iris, finger prints, hand and voice. Among all these biometric techniques, iris recognition is one of the accurate due to its high reliability for personal identification. A number of techniques are available for iris recognition system like Morlet Wavelet, Reverse Biorthogonal Wavelet, K-D Tree Method and Biorthogonal Wavelet etc. In this paper Reverse Biorthogonal Wavelet is used for Iris Recognition system and using this technique Hamming distance between iris codes is calculated to measure the difference between two iris images in the database. Iris recognition is then performed by matching the iris pair with the minimum Hamming distance.
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