Wavelet Based Edge Detection Technique for Iris Recognition Using MATLAB
Raju K. Dehankar, Athar Ravish Khan · 2012
Abstract--Edges characterize boundaries and therefore a problem of fundamental importance in image processing. Edge detection significantly reduces the amount of data and filters out useless information, while preserving the important structural properties in an image. In this paper, we present wavelet based edge detection technique. Fourier Transform in edge detection applications has its own disadvantages. Wavelet transform plays a very important role in the image processing analysis, for its fine results when it is used in multiresolution, multi-scale modeling. Unlike Discrete Cosine transforms or Fourier transforms, wavelet transform offers a natural decomposition of images at multiple resolutions. Wavelet analysis is a local analysis; it is especially suitable for time frequency analysis, which is essential for singularity detection, the fact motivated us to develop a technique using Haar wavelet to find an edge from an image. The proposed technique has been demonstrated for iris imagery.