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: Handbook of Fingerprint Recognition
  name:
    name part: Maltoni, Davide.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Maio, Dario.
    role:
      role term: author.
  name:
    name part: Jain, Anil K.
    role:
      role term: author.
  name:
    name part: Prabhakar, Salil.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2003
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 351 p. 484 illus. online resource.
  abstract: Overview Biometric recognition refers to the use of distinctive physiological and behavioral character- tics (e. g. , fingerprints, face, hang geometry, iris, gait, signature), called biometric identifiers or simply biometrics, for automatically recognizing a person. Questions such as “Is this person authorized to enter the facility?”, “Is this individual entitled to access the privileged infor- tion?”, and “Did this person previously apply for a job?” are routinely asked in a variety of organizations in both public and private sectors. Because biometric identifiers cannot be easily misplaced, forged, or shared, they are considered more reliable for person recognition than traditional token- (e. g. , keys) or knowledge- (e. g. , password) based methods. Biometric recognition can provide better security, higher efficiency, and increased user convenience. It is for these reasons that biometric systems are being either increasingly deployed or evaluated in a large number of government (e. g. , welfare disbursement, national ID card, issuing of driver’s license) and civilian (e. g. , computer network logon, automatic teller machine, cellular phone, Web access, smartcard) applications. A number of biometric technologies have been developed and several of them are being used in a variety of applications. Among these, fingerprints, face, iris, speech, and hand - ometry are the ones that are most commonly used. Each biometric has its strengths and we- nesses and the choice of a particular biometric typically depends on the requirements of an application.
  table of contents: Fingerprint Sensing -- Fingerprint Analysis and Representation -- Fingerprint Matching -- Fingerprint Classification and Indexing -- Synthetic Fingerprint Generation -- Multimodal Biometric Systems -- Fingerprint Individuality -- Securing Fingerprint Systems.
  note: by Davide Maltoni, Dario Maio, Anil K. Jain, Salil Prabhakar.
  subject:
    topic: Computer science
  subject:
    topic: Biotechnology
  subject:
    topic: Computer security
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer graphics
  subject:
    topic: Image processing
  subject:
    topic: Pattern recognition
  subject:
    topic: Computer Science
  subject:
    topic: Systems and Data Security
  subject:
    topic: Pattern Recognition
  subject:
    topic: Biotechnology
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Computer Graphics
  subject:
    topic: Image Processing and Computer Vision
  classification: QA76.9.A25
  classification: 005.8
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Professional Computing
  identifier: 9780387215877
  identifier: http://dx.doi.org/10.1007/b97303
  record info:
    record creation date: 100301
    record change date: 20151204154617.0
    record identifier: 978-0-387-21587-7