A novel feature extraction for IRIS identification using morphological skeleton
Nozomi Hayashi, Akira Taguchi · European Signal Processing Conference · 2010
In this paper we introduce a novel method to extract the features of space domain from iris image, which uses gray scale morphological filtering. It is well known that the skeleton which shows the features of images is extracted from binary images by morphological filtering. The skeleton of gray scale images can be also extracted by gray-scale morphological filtering. In order to extract the features of the iris, we apply the gray scale morphological filtering to the iris image and obtain the skeleton. The binary skeleton which is regarded as the iris code is obtained by thresholding. The Hamming distance was employed for classification of iris codes.