We have developed a method for iris matching using zero crossings of a Discrete Cosine Transform (DCT) as a means of feature extraction for later classification. The DCT of a series of averaged overlapping patches are taken from normalized iris images and a small subset of coefficients is used to form subfeature vectors. Iris codes are generated as a sequence of many such subfeatures, and classification is carried out using a weighted Hamming distance metric.

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