Iris Recognition using Wavelet Transformation Techniques

In this paper, we propose the novel techniques that we have developed to create Iris Recognition. With the help of a fusion mechanism that amalgamates both, a Canny Edge Detection scheme and a Circular Hough Transform, which is used to detect the iris’ boundaries in the eye’s digital image. For extracting the deterministic patterns in a person’s iris in the form of a feature vector we have applied the wavelet transformation technique. By comparing the quantized vectors using the Hamming Distance operator, we determine whether two irises are similar.