A novel iris clustering approach using LAB color features
Adrian Ciobanu, Tudor Barbu, Mihaela Costin, Silviu-Ioan Bejinariu, Petru Radu · 2013
Interesting results of color clustering for the iris images in the UBIRISv1 database are presented. The iris colors are characterized by feature vectors with 80 components corresponding to histogram bins computed in the CIELAB color space. The feature extraction is applied to the first session eye images after undergoing an iris segmentation process. An agglomerative hierarchical algorithm is used to organize 1.205 segmented iris images in 8 clusters based on their color content.