An iris recognition system typically follows a multi-step algorithm that includes the following key processes: first, image acquisition captures high-quality images of the iris; second, image preprocessing enhances the image by normalizing and segmenting the iris region from the rest of the eye; third, feature extraction identifies unique patterns and characteristics in the iris using techniques like wavelet transforms or Gabor filters; and finally, matching compares the extracted features against a database of known irises using distance metrics to determine identity. This process ensures accurate and reliable identification based on the unique patterns found in each individual's iris.
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