• 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
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=648911