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: Mobile biometrics
  name:
    name part: Guo, Guodong
    role:
      role term: editor.
  name:
    name part: Wechsler, Harry
    name part: 1948-
    role:
      role term: editor.
  type of resource: text
  genre: bibliography
  genre: elektronické knihy
  genre: electronic books
  origin info:
    place:
      place term: enk
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations
  abstract: This book is about the use of biometrics on mobile/smart phones. An integrated and informative analysis, this is a timely survey of the state of the art research and developments in this rapidly growing area.
  table of contents: Machine generated contents note: 1. Mobile biometrics / Harry Wechsler -- 1.1. Introduction -- 1.2. Book organization -- 1.3. Acknowledgment -- 2. Mobile biometric device design: history and challenges / Michael Rathwell -- 2.1. Introduction -- 2.2. Biometrics -- 2.3. Fingerprint recognition and the first AFIS system -- 2.4. Mobile biometric devices -- 2.5. Features found on good mobile biometrics device design -- 2.5.1. User friendly, nice styling and ergonomics, light, and rugged -- 2.5.2. Consistently quick and easy capture of high-quality images -- 2.5.3. Easy, seamless integration to a back-end biometric system -- 2.5.4. Quick processing and fast responses -- 2.5.5. High accuracy, security and privacy -- 2.6. History of mobile biometric devices -- 2.6.1. Law enforcement market devices -- 2.6.2. Commercial/consumer market devices with biometric capabilities -- 2.7. Future and challenges -- References -- 3. Challenges in developing mass-market mobile biometric sensors / Richard K. Fenrich -- 3.1. Background discussion -- 3.1.1. Use cases -- 3.1.2. Biometric sensors -- 3.1.3. New product development -- 3.2. primary challenges -- 3.2.1. Market relevance -- 3.2.2. Research and development -- 3.2.3. Manufacturing -- 3.2.4. Integration -- 3.2.5. Support -- 3.2.6. Higher level considerations -- 3.3. Conclusion -- References -- 4. Deep neural networks for mobile person recognition with audio-visual signals / F. Sohel -- 4.1. Biometric systems -- 4.1.1. What is biometrics? -- 4.1.2. Multimodal biometrics -- 4.2. Audio-visual biometric systems -- 4.2.1. Preprocessing -- 4.2.2. Feature extraction -- 4.2.3. Classification -- 4.2.4. Fusion -- 4.2.5. Audio-visual corporation -- 4.3. Mobile person recognition -- 4.3.1. Speaker recognition systems -- 4.3.2. Face recognition systems -- 4.3.3. Audio-visual person recognition on MOBIO -- 4.4. Deep neural networks for person recognition -- 4.4.1. DBN-DNN for unimodal person recognition -- 4.4.2. DBM-DNN for person recognition -- 4.…
  table of contents: Kakadiaris -- 8.1. Introduction -- 8.2. Previous works -- 8.2.1. Touch gesture-based mobile authentication -- 8.2.2. Keystroke-based mobile authentication -- 8.3. Touch gesture features -- 8.4. User authentication schema overview -- 8.5. Dynamic time warping-based method -- 8.5.1. One nearest neighbor-dynamic time warping -- 8.5.2. Sequential recognition -- 8.5.3. Multistage filtering with dynamic template adaptation -- 8.5.4. Experimental results -- 8.6. Graphic touch gesture-based method -- 8.6.1. Feature extraction -- 8.6.2. Statistical touch dynamics images -- 8.6.3. User authentication algorithms -- 8.6.4. Experimental results -- 8.7. Virtual key typing-based method -- 8.7.1. Feature extraction -- 8.7.2. User authentication -- 8.7.3. Experiment results -- 8.8. Conclusion -- Acknowledgments -- References -- 9. Smartwatch-based gait biometrics / Andrew Johnston -- 19.1. Introduction -- 9.2. Smartwatch hardware -- 9.3. Biometric tasks: identification and authentication -- 9.3.1. identification -- 9.3.2. Authentication -- 9.4. Data preprocessing -- 9.4.1. Segmentation -- 9.4.2. Segment selection -- 9.5. Selecting a feature set -- 9.5.1. Statistical features -- 9.5.2. Histogram-based features -- 9.5.3. Cycle-based features -- 9.5.4. Time domain -- 9.5.5. Summary -- 9.6. System evaluation and testing -- 9.6.1. Selecting an evaluation metric -- 9.6.2. Single-instance evaluation and voting schemes -- 9.7. Template aging: an implementation challenge -- 9.8. Conclusion -- References -- 10. Toward practical mobile gait biometrics / Yunbin Deng -- Abstract -- 10.1. Introduction -- 10.2. Related work -- 10.3. GDI gait representation -- 10.3.1. Gait dynamics images -- 10.3.2. Pace-compensated gait dynamics images -- 10.4. Gait identity extraction using i-vectors -- 10.5. Performance analysis -- 10.5.1. McGill University naturalistic gait dataset -- 10.5.2. Osaka University largest gait dataset -- 10.5.3. Mobile dataset with multiple walking speed -- 10.6. Conclusions and fut…
  table of contents: Note continued: 15.4.5. Fusion of biometric system and countermeasures -- 15.5. Conclusion -- References -- 16. Biometric open protocol standard / Hector Hoyos -- 16.1. Introduction -- 16.2. Overview -- 16.2.1. Scope -- 16.2.2. Purpose -- 16.2.3. Intended audience -- 16.3. Definitions, acronyms, and abbreviations -- 16.3.1. Definitions -- 16.3.2. Acronyms and abbreviations -- 16.4. Conformance -- 16.5. Security considerations -- 16.5.1. Background -- 16.5.2. Genesis -- 16.5.3. Enrollment -- 16.5.4. Matching agreement -- 16.5.5. Role gathering -- 16.5.6. Access control -- 16.5.7. Auditing and assurance -- 16.6. BOPS interoperability -- 16.6.1. Application -- 16.6.2. Registration -- 16.6.3. Prevention of replay -- 16.7. Summary -- Further Reading -- 17. Big data and cloud identity service for mobile authentication / Nalini K. Ratha -- 17.1. Introduction -- 17.1.1. Identity establishment and management -- 17.1.2. Mega trend impacts -- 17.1.3. Large-scale biometric applications and big data -- 17.1.4. Cloud computing -- 17.2. Characteristics of mobile biometrics -- 17.2.1. Mobile biometric concepts -- 17.2.2. Mobile biometric data -- 17.2.3. Biometric processes and performance metrics -- 17.3. Smart mobile devices -- 17.3.1. Many mobile sensors available -- 17.3.2. Multibiometrics fusion -- 17.4. Emerging mobile biometrics techniques -- 17.4.1. Traditional biometrics -- fingerprint, face, and iris -- 17.4.2. Behavior biometrics -- 17.4.3. Risk-based continuous authentication and trust management -- 17.5. Conceptual mobile application architecture -- 17.6. Biometric identity services in the cloud -- 17.6.1. Biometrics-enabled identity services -- 17.6.2. Biometric identity service cloud model -- 17.6.3. How to develop a biometrics-identity-service-cloud model? -- 17.7. Cognitive authentication system: a point of view -- 17.8. Conclusions -- References -- 18. Outlook for mobile biometrics / Harry Wechsler.
  note: edited by Guodong Guo and Harry Wechsler.
  note: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  note: Includes bibliographical references and index.
  subject:
    topic: Biometric identification
  subject:
    topic: Computer security
  subject:
    topic: Mobile computing
  related item:
    title info:
      title: Mobile biometrics
    origin info:
      publisher: London : The Institution of Engineering and Technology, 2017
    identifier: (OCoLC)968776781
  related item:
    title info:
      title: IET security series ; 3
  related item:
    title info:
      title: IET book series on advances in biometrics
  identifier: 9781785610967
  identifier: 1785610961
  identifier: 9781523112883
  identifier: 1523112883
  identifier: 9781785610950
  identifier: 1785610953
  identifier: https://proxy.k.utb.cz/login
  access condition: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  record info:
    record content source: EBLCP
    record creation date: 171111
    record change date: 20240717213016.0
    record identifier: kn-on1011182292
    language of cataloging:
      language term: eng