BIRD: watershed Based IRis Detection for mobile devices (Articolo in rivista)

Type
Label
  • BIRD: watershed Based IRis Detection for mobile devices (Articolo in rivista) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1016/j.patrec.2014.10.017 (literal)
Alternative label
  • A.F. Abate , M. Frucci , C. Galdi , D. Riccio (2014)
    BIRD: watershed Based IRis Detection for mobile devices
    in Pattern recognition letters
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • A.F. Abate , M. Frucci , C. Galdi , D. Riccio (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • in press (literal)
Rivista
Note
  • ISI Web of Science (WOS) (literal)
  • Google Scholar (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Università degli Studi di Salerno, Fisciano, I-84084, Italy Istituto Calcolo e Reti ad Alte Prestazioni, CNR, Napoli, I-80131, Italy Università degli Studi di Salerno, Fisciano, I-84084, Italy Università di Napoli Federico II, Napoli, I-80125, Italy (literal)
Titolo
  • BIRD: watershed Based IRis Detection for mobile devices (literal)
Abstract
  • Communications with a central iris database system using common wireless technologies, such as tablets and smartphones, and iris acquisition out of the field are important functionalities and capabilities of a mobile iris identification device. However, when images are acquired by means of mobile devices under uncontrolled acquisition conditions, noisy images are produced and the effectiveness of the iris recognition system is significantly conditioned. This paper proposes a technique based on watershed transform for iris detection in noisy images captured by mobile devices. The method exploits the information related to limbus to segment the periocular region and merges its score with the iris' one to achieve greater accuracy in the recognition phase. (literal)
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