DOI: 10.36347/sjet

Pages: 863-867

This project is the design of a system grants or denies ingress through a door. The door is supposed to always be electrically shut. In a nutshell, once a digital image of one person‟s eyes to be verified is captured using a special camera – the CCD camera, the feature extracting processing is carried out and minutiae are extracted and stored as a template for future verification process. Users will then, at a subsequent time, need to be verified. This is achieved by the user making available the eye to the administrator for capturing who in turn triggers the software button (via the PC) so as to extract the minutiae from the captured image. Lastly, a matching algorithm is applied to match these minutiae with the previously stored template. A fusion mechanism that amalgamates both a Canny Edge Detection scheme and a Circular Hough Transform is used to detect the iris‟ boundaries in the eye‟s digital image. The Haar wavelet transform was applied in order to extract the deterministic patterns in a user‟s iris in the form of a feature vector. By comparing the quantized vectors using the Hamming Distance operator, we determine finally whether two irises are similar. The entire system works exactly as described. The system views and designs were implemented using Matlab for its ease in image manipulation