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**1 - 2**of**2**### Integration of Morphological Segmentation and Canny Edge Detection for Iris Recognition

"... A new approach to iris recognition system is proposed in this paper. The iris images are captured using digital camera. The edges of the eye image are traced using canny edge detection. Segmentation is done to find the inner and outer edge of the iris region. Segmentation is done by selecting approp ..."

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A new approach to iris recognition system is proposed in this paper. The iris images are captured using digital camera. The edges of the eye image are traced using canny edge detection. Segmentation is done to find the inner and outer edge of the iris region. Segmentation is done by selecting appropriate threshold approximately in the range 60 to 80 and applying Extended Minima transform. Binary code representation via phase of Daubechies wavelet is computed from each iris image and a minimum Euclidean distance classifier is applied for matching process. This approach is proved to be efficient and has less error rate for iris images captured using digital camera. General term: Image processing, Iris recognition,Normalization.

### Generalized biorthogonal Daubechies wavelets

"... We propose a generalization of the Cohen-Daubechies-Feauveau (CDF) and 9/7 biorthogonal wavelet families. This is done within the framework of non-stationary multiresolution analysis, which involves a sequence of embedded approximation spaces generated by scaling functions that are not necessarily d ..."

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We propose a generalization of the Cohen-Daubechies-Feauveau (CDF) and 9/7 biorthogonal wavelet families. This is done within the framework of non-stationary multiresolution analysis, which involves a sequence of embedded approximation spaces generated by scaling functions that are not necessarily dilates of one another. We consider a dual pair of such multiresolutions, where the scaling functions at a given scale are mutually biorthogonal with respect to translation. Also, they must have the shortest-possible support while reproducing a given set of exponential polynomials. This constitutes a generalization of the standard polynomial reproduction property. The corresponding refinement filters are derived from the ones that were studied by Dyn et al. in the framework of non-stationary subdivision schemes. By using different factorizations of these filters, we obtain a general family of compactly supported dual wavelet bases of L2. In particular, if the exponential parameters are all zero, one retrieves the standard CDF B-spline wavelets and the 9/7 wavelets. Our generalized description yields equivalent constructions for E-spline wavelets. A fast filterbank implementation of the corresponding wavelet transform follows naturally; it is similar to Mallat’s algorithm, except that the filters are now scale-dependent. This new scheme offers high flexibility and is tunable to the spectral characteristics of a wide class of signals. In particular, it is possible to obtain symmetric basis functions that are well-suited for image processing.