DCT-Based Iris Recognition

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.
File Size61.22 kB
Operating System Windows Windows XP Windows Me Windows 2003 Windows 2000 Windows 3.x Windows Vista Windows Server 2008 Windows 95 Windows NT Windows 98


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