DocumentCode :
648911
Title :
A novel iris clustering approach using LAB color features
Author :
Ciobanu, Amelia ; Barbu, Tudor ; Costin, Madalin ; Bejinariu, Silviu-Ioan ; Radu, Petru
Author_Institution :
Inst. of Comput. Sci., Iaşi, Romania
fYear :
2013
fDate :
11-13 Oct. 2013
Firstpage :
1
Lastpage :
4
Abstract :
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.
Keywords :
feature extraction; image colour analysis; image segmentation; iris recognition; pattern clustering; CIELAB color space; LAB color features; UBIRISv1 database; agglomerative hierarchical algorithm; color clustering; feature extraction; feature vectors; first session eye images; histogram bins; iris clustering approach; iris images; iris segmentation process; CIELAB color space; agglomerative hierarchical clustering; color feature extraction; iris;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Electronics Engineering (ISEEE), 2013 4th International Symposium on
Conference_Location :
Galati
Type :
conf
DOI :
10.1109/ISEEE.2013.6674362
Filename :
6674362
Link To Document :
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