Author_Institution :
Sch. of Phys. & Electron., Henan Univ., Kaifeng, China
Abstract :
In this paper, in order to obtain the more accurate local features of the iris image, firstly, on the basis of the first-order Taylor expansion of Gauss Function, orthonormality is employed to obtain a set of complete quadratic units orthogonal basis, secondly, these quadratic units orthogonal basis are used as the scaling function, and a biorthogonal multi-wavelets filter is designed. This filter has many characteristics, such as symmetry, compact support, orthogonality and 3-order vanishing moment, lastly, the algorithms of decomposition and reconstruction of this filter and the test about the decomposition and reconstruction of iris image are given. The results of the experiment and the analysis show that by decomposing the filter matrix. 36 direction features of an image can be obtained and this method is a good feature extraction one.
Keywords :
Gaussian processes; feature extraction; filtering theory; fractals; image reconstruction; iris recognition; matrix algebra; 3-order vanishing moment; Gauss function; biorthogonal multiwavelets filter; complete quadratic units orthogonal basis; filter matrix; first-order Taylor expansion; fractal multiwavelets filter design; iris image decomposition; iris image reconstruction; local features; scaling function; Filtering algorithms; Filtering theory; Gabor filters; Image reconstruction; Iris; Matrix decomposition; Wavelet transforms; Filter; Fractal Multi-wavelets; Iris; Reconstruction and Decomposition;
Conference_Titel :
Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
