Iris Recognition for Personal Identification Using Gabor Filters
In this work, an identifying and recognizing person technique is presented based on its eye’s iris. The introduce technique utilizes several image processing methods; e.g. edge detection, contour following, chain coding, Gabor filters, image normalization, feature extraction, etc. JPEG images of size 256×256 pixels are converted into grayscale form by averaging their Red, Green and Blue bands.The produced grayscale image then traced into edges and boundaries using Marr-Hildreth edge technique with an appropriate Gaussian standard deviation value (i.e. σ =3).