A study of iris recognition methods

Abstract

In the context of an increasing demand of biometric solutions and growing market for security and authentication applications, iris recognition has potential for a wider use. The iris is particularly good for biometric purposes due to the high randomness of its texture, thus making each eye highly unique.Iris offers other various advantages such as universality and feeble intrusiveness. In our iris recognition process, the iridian region is first isolated using mathematical tools to find circles in images. The iris image is then passed through a set of Gabor filters, that offer a good localisation both in frequency and in space. Depending on the outputs of these filters, each pixel in the iris image is assigned to a class by a clustering program with a required number of classes. Comparison between two irises can be performed by measuring similarity between class repartition of the pixels. This algorithm gives out promising results that allow for future enhancements.