A system for automated iris recognition

A human identification technique using images of the iris and wavelet transform

“…Daugman's system filters transformed images with oriented, quadrature pair, bandpass filters and coarsely quantizes the resulting representation for byte-wise matching. While these operations are not required for our technique, we also have the advantage of processing 1-D iris signatures rather than the 2-D images used in both [6] and [7]. However, it must be noted that while we proposed a novel technique for iris recognition and tested it on a small number of real images (with and without noise), both of the systems in [6] and [7] have been much more extensively tested on databases of hundreds of images and have been shown to produce remarkable results.…”

“…These recent prototype systems considered a number of implementation issues from the practical point of view. Since our proposed technique addresses mainly the problems of pattern extraction and recognition, we will compare our technique to those in [6] and [7] considering these main points.…”

“…More recently, Daugman presented a prototype system for iris recognition [6] and reported that it has excellent performance on a diverse database of many images. Wildes et al [7] described a prototype system for personal verification based on automated iris recognition. These recent prototype systems considered a number of implementation issues from the practical point of view.…”

“…The prototype of [7] relied on image registration, which is very computationally demanding. Daugman's system filters transformed images with oriented, quadrature pair, bandpass filters and coarsely quantizes the resulting representation for byte-wise matching.…”

Shape Analysis of Stroma for Iris Recognition

“…Ma et al [3][4] adopted a well-known texture analysis method (multichannel Gabor filtering) to capture both global and local details in iris. Wildes et al [5] with a Laplacian pyramid constructed in four different resolution levels and the normalized correlation for matching designed their system. Tisse et al [6] combined the original image and Hilbert transform to demodulate the iris texture.…”