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 Size||61.22 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|