• DocumentCode
    2097271
  • Title

    Hand and Wrist Physiological Features Extraction for near Infrared Biometrics

  • Author

    Akhloufi, Moulay ; Bendada, Abdelhakim

  • Author_Institution
    Comput. vision Lab., Laval Univ., Quebec City, QC
  • fYear
    2008
  • fDate
    28-30 May 2008
  • Firstpage
    341
  • Lastpage
    344
  • Abstract
    In this work we present an efficient approach for physiological features extraction from near infrared images of the hand and the lower forearm-wrist region. The physiological features represent the dorsal venous network of the hand and the superficial veins in the lower forearm and wrist region. These networks are unique to each individual and can be used as a biometric system for person recognition. An active near infrared technique is used for image acquisition. The proposed approach uses an anisotropic diffusion technique for contrast enhancement and morphological filtering to extract the venous network.
  • Keywords
    biometrics (access control); feature extraction; filtering theory; image enhancement; image recognition; infrared imaging; physiology; anisotropic diffusion technique; contrast enhancement; dorsal venous network; hand; image acquisition; lower forearm; morphological filtering; near infrared biometrics; near infrared images; person recognition; physiological features extraction; superficial veins; wrist; Anisotropic magnetoresistance; Biometrics; Face recognition; Feature extraction; Filters; Infrared imaging; Infrared spectra; Skin; Veins; Wrist; Biometrics; Features extraction; Infrared imaging; Segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Robot Vision, 2008. CRV '08. Canadian Conference on
  • Conference_Location
    Windsor, Ont.
  • Print_ISBN
    978-0-7695-3153-3
  • Type

    conf

  • DOI
    10.1109/CRV.2008.42
  • Filename
    4562130