rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Contactless 3D Fingerprint Identification
  name:
    name part: Kumar, Ajay.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 123 p. 69 illus., 58 illus. in color. online resource.
  abstract: This important text/reference presents the first dedicated review of techniques for contactless 3D fingerprint identification, including novel and previously unpublished research. The text provides a systematic introduction to 3D fingerprint identification, covering the latest advancements in contactless 2D and 3D sensing technologies, and detailed discussions on each key aspect in the development of an effective 3D fingerprint identification system. Topics and features: Introduces the key concepts and trends in the acquisition and identification of fingerprint images, and a range of 3D fingerprint imaging techniques Proposes a low-cost method for online 3D fingerprint image acquisition, and an efficient 3D fingerprint imaging approach using coloured photometric stereo Describes pre-processing operations on point cloud 3D fingerprint data, and explains the specialized operations for reconstructing 3D fingerprints from live finger scans Examines the representation of minutiae in 3D space, providing details on recovering these features from point cloud data, and on matching such 3D minutiae templates Reviews various 3D fingerprint matching methods, including binary surface code-based approaches and a tetrahedron-based matching approach Discusses the uniqueness of 3D fingerprints, evaluating the benefits of employing 3D fingerprint identification over conventional 2D fingerprint techniques This unique work is a must-read for all researchers seeking to make further advances in this area, towards the exciting opportunities afforded by contactless 3D fingerprint identification for improving the hygiene, user convenience, and matching accuracy of fingerprint biometric technologies. Dr. Ajay Kumar is an Associate Professor in the Department of Computing at the Hong Kong Polytechnic University. He has previously served as an Assistant Professor at the Department of Electrical Engineering, IIT Delhi. He is a Fellow of IEEE and IAPR. His other publications include the Springer…
  table of contents: Introduction to Trends in Fingerprint Identification -- 3D Fingerprint Image Acquisition Methods -- Contactless and Live 3D Fingerprint Imaging -- 3D Fingerprint Acquisition Using Colored Photometric Stereo -- 3D Fingerprint Image Preprocessing and Enhancement -- Representation, Recovery and Matching of 3D Minutiae Template -- Other Methods of 3D Fingerprint Matching -- Individuality of 3D Fingerprints.
  note: by Ajay Kumar.
  subject:
    topic: Biometrics (Biology)
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computational intelligence
  subject:
    topic: Computers
  subject:
    topic: Law and legislation
  subject:
    topic: Biometrics
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Computational Intelligence
  subject:
    topic: Legal Aspects of Computing
  classification: QH323.5
  classification: 570.15195
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Advances in Computer Vision and Pattern Recognition
  identifier: 9783319676814
  identifier: https://doi.org/10.1007/978-3-319-67681-4
  record info:
    record creation date: 181029
    record change date: 20191022161611.0
    record identifier: 978-3-319-67681-4