Mobile Biometrics
Herausgeber: Guo, Guodong; Wechsler, Harry
Mobile Biometrics
Herausgeber: Guo, Guodong; Wechsler, Harry
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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.
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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.
Produktdetails
- Produktdetails
- Security
- Verlag: Institution of Engineering & Technology
- Seitenzahl: 488
- Erscheinungstermin: 6. Oktober 2017
- Englisch
- Abmessung: 236mm x 163mm x 30mm
- Gewicht: 862g
- ISBN-13: 9781785610950
- ISBN-10: 1785610953
- Artikelnr.: 47445623
- Security
- Verlag: Institution of Engineering & Technology
- Seitenzahl: 488
- Erscheinungstermin: 6. Oktober 2017
- Englisch
- Abmessung: 236mm x 163mm x 30mm
- Gewicht: 862g
- ISBN-13: 9781785610950
- ISBN-10: 1785610953
- Artikelnr.: 47445623
* Chapter 1: Mobile biometrics
* Chapter 2: Mobile biometric device design: history and challenges
* Chapter 3: Challenges in developing mass-market mobile biometric
sensors
* Chapter 4: Deep neural networks for mobile person recognition with
audio-visual signals
* Chapter 5: Active authentication using facial attributes
* Chapter 6: Fusion of shape and texture features for lip biometry in
mobile devices
* Chapter 7: Mobile device usage data as behavioral biometrics
* Chapter 8: Continuous mobile authentication using user-phone
interaction
* Chapter 9: Smartwatch-based gait biometrics
* Chapter 10: Toward practical mobile gait biometrics
* Chapter 11: 4F™-ID: mobile four-fingers biometrics system
* Chapter 12: Palmprint recognition on mobile devices
* Chapter 13: Addressing the presentation attacks using periocular
region for smartphone biometrics
* Chapter 14: Countermeasures to face photo spoofing attacks by
exploiting structure and texture information from rotated face
sequences
* Chapter 15: Biometric antispoofing on mobile devices
* Chapter 16: Biometric open protocol standard
* Chapter 17: Big data and cloud identity service for mobile
authentication
* Chapter 18: Outlook for mobile biometrics
* Chapter 2: Mobile biometric device design: history and challenges
* Chapter 3: Challenges in developing mass-market mobile biometric
sensors
* Chapter 4: Deep neural networks for mobile person recognition with
audio-visual signals
* Chapter 5: Active authentication using facial attributes
* Chapter 6: Fusion of shape and texture features for lip biometry in
mobile devices
* Chapter 7: Mobile device usage data as behavioral biometrics
* Chapter 8: Continuous mobile authentication using user-phone
interaction
* Chapter 9: Smartwatch-based gait biometrics
* Chapter 10: Toward practical mobile gait biometrics
* Chapter 11: 4F™-ID: mobile four-fingers biometrics system
* Chapter 12: Palmprint recognition on mobile devices
* Chapter 13: Addressing the presentation attacks using periocular
region for smartphone biometrics
* Chapter 14: Countermeasures to face photo spoofing attacks by
exploiting structure and texture information from rotated face
sequences
* Chapter 15: Biometric antispoofing on mobile devices
* Chapter 16: Biometric open protocol standard
* Chapter 17: Big data and cloud identity service for mobile
authentication
* Chapter 18: Outlook for mobile biometrics
* Chapter 1: Mobile biometrics
* Chapter 2: Mobile biometric device design: history and challenges
* Chapter 3: Challenges in developing mass-market mobile biometric
sensors
* Chapter 4: Deep neural networks for mobile person recognition with
audio-visual signals
* Chapter 5: Active authentication using facial attributes
* Chapter 6: Fusion of shape and texture features for lip biometry in
mobile devices
* Chapter 7: Mobile device usage data as behavioral biometrics
* Chapter 8: Continuous mobile authentication using user-phone
interaction
* Chapter 9: Smartwatch-based gait biometrics
* Chapter 10: Toward practical mobile gait biometrics
* Chapter 11: 4F™-ID: mobile four-fingers biometrics system
* Chapter 12: Palmprint recognition on mobile devices
* Chapter 13: Addressing the presentation attacks using periocular
region for smartphone biometrics
* Chapter 14: Countermeasures to face photo spoofing attacks by
exploiting structure and texture information from rotated face
sequences
* Chapter 15: Biometric antispoofing on mobile devices
* Chapter 16: Biometric open protocol standard
* Chapter 17: Big data and cloud identity service for mobile
authentication
* Chapter 18: Outlook for mobile biometrics
* Chapter 2: Mobile biometric device design: history and challenges
* Chapter 3: Challenges in developing mass-market mobile biometric
sensors
* Chapter 4: Deep neural networks for mobile person recognition with
audio-visual signals
* Chapter 5: Active authentication using facial attributes
* Chapter 6: Fusion of shape and texture features for lip biometry in
mobile devices
* Chapter 7: Mobile device usage data as behavioral biometrics
* Chapter 8: Continuous mobile authentication using user-phone
interaction
* Chapter 9: Smartwatch-based gait biometrics
* Chapter 10: Toward practical mobile gait biometrics
* Chapter 11: 4F™-ID: mobile four-fingers biometrics system
* Chapter 12: Palmprint recognition on mobile devices
* Chapter 13: Addressing the presentation attacks using periocular
region for smartphone biometrics
* Chapter 14: Countermeasures to face photo spoofing attacks by
exploiting structure and texture information from rotated face
sequences
* Chapter 15: Biometric antispoofing on mobile devices
* Chapter 16: Biometric open protocol standard
* Chapter 17: Big data and cloud identity service for mobile
authentication
* Chapter 18: Outlook for mobile biometrics