Iris Recognition System for Windows Security

The desires the design and improve an iris recognition structure for secure access to Microsoft Windows. Involves two crucial steps: (1) image-processing facilities on the picture of an eye for data recovery. (2) Neural Systems facilities for recognition. The image transform techniques represent the steps for turning an apparent iris picture necessary for extracting factors from the addition of eye figures in standard lighting and focusing. The standard deviation for every part in which it adopted the values for recognition using ANN techniques. Locating the iris is produced by following the darkness density of the pupil. For all structures, it stored the weights and output values in a text file to be applied again in recognition. The Backpropagation system succeeded in recognition and becoming better results.

Assistant Professor of Computer Engineering,Faculty of Engineering,Halic University, Istanbul - Turkey