An Enhanced Approach for Iris Recognition Using Fusion of FWT with Gabor Wavelet Transform and Daugman Encoding
In this paper, the authors discuss iris recognition, which is accepted as one of the best biometric methods for identifying an individual. A comparative analysis is done for eight algorithms, namely DCWT, FWT, SWT, CWT, DB, Complex dual tree, Haar wavelet and wavelet packet for extracting the feature from iris image. Extracting the iris features of the image is still inconceivable as the existing algorithms fail to deliver the maximum accuracy. Among the eight algorithms, Fast Wavelet Transform (FWT) delivers 72.9 percent accuracy.