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010 a| 2017449855;

015 a| GBB7B97532| bnb;

016 7 a| 0184202002| Uk;

020 a| 9781785610950q| (hardback);

020 a| 1785610953q| (hardback);

020 z| 9781785610967q| (pdf);

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050 00 a| TK7882.B56b| M62 2017;

082 04 a| 570.151952| 23;

245 00 a| Mobile biometricsh| [electronic resource] /c| edited by Guodong Guo and Harry Wechsler.;

260 a| London :b| The Institution of Engineering and Technology,c| 2017.;

300 a| xvi, 472 pages :b| illustrations ;c| 24 cm.;

490 1 a| IET security series ;v| 03;

490 1 a| The IET book series on advances in biometrics;

504 a| Includes bibliographical references and index.;

505 00 t| Mobile biometrics /r| Guodong Guo and Harry Wechsler --t| Mobile biometric device design : history and challenges /r| Peter Z. Lo and Michael Rathwell --t| Challenges in developing mass-market mobile biometric sensors /r| Richard K. Fenrich --t| Deep neural networks for mobile person recognition with audio-visual signals /r| M.R. Alam, M. Bennamoun, R. Togneri, and F. Sohel --t| Active authentication using facial attributes /r| Pouya Samangouei, Emily Hand, Vishal M. Patel, and Rama Chellappa --t| Fusion of shape and texture features for lip biometry in mobile devices /r| Rahul Raman, Pankaj K. Sa, Banshidhar Majhi, and Sambit Bakshi --t| Mobile device usage data as behavioral biometrics /r| Tempestt J. Neal, Damon L. Woodard, and Aaron D. Striegel --t| Continuous mobile authentication using user-phone interaction /r| Xi Zhao, Tao Feng, Xiaoni Lu, Weidong Shi, and Ioannis A. Kakadiaris --t| Smartwatch-based gait biometrics /r| Andrew Johnston --t| Toward practical mobile gait biometrics /r| Yu Zhong and Yunbin Deng --t| 4FTM-ID : mobile four-fingers biometrics system /r| Asem Othman, Francis Mather and Hector Hoyos --t| Palmprint recognition on mobile devices /r| Lu Leng --t| Addressing the presentation attacks using periocular region for smartphone biometric /r| Kiran B. Raja, R. Raghavendra, and Christoph Busch --t| Countermeasures to face photo spoofing attacks by exploiting structure and texture information from rotated face sequences /r| Zhen Lei, Wang Tao, Xiangyu Zhu, Tianyu Fu, and Stan Z. Li --t| Biometric antispoofing on mobile devices /r| Zahid Akhtar, Christian Micheloni, and Gian Luca Foresti --t| Biometric open protocol standard /r| Scott Streit and Hector Hoyos --t| Big data and cloud identity service for mobile authentication /r| Charles Y. Li and Nalini K. Ratha --t| Outlook for mobile biometrics /r| Guodong Guo and Harry Wechsler.;

506 a| Available only to authorized users.;

520 a| "Mobile biometrics--the use of physical and/or behavioral characteristics of humans to allow their recognition by mobile/smart phones--aims to achieve conventional functionality and robustness while also supporting portability and mobility, bringing greater convenience and opportunity for its deployment in a wide range of operational environments from consumer applications to law enforcement. But achieving these aims brings new challenges such as issues with power consumption, algorithm complexity, device memory limitations, frequent changes in operational environment, security, durability, reliability, and connectivity. Mobile Biometrics provides a timely survey of the state of the art research and developments in this rapidly growing area. Topics covered in Mobile biometrics include mobile biometric sensor design, deep neural network for mobile person recognition with audio-visual signals, active authentication using facial attributes, fusion of shape and texture features for lip biometry in mobile devices, mobile device usage data as behavioral biometrics, continuous mobile authentication using user phone interaction, smartwatch-based gait biometrics, mobile four-fingers biometrics system, palm print recognition on mobile devices, periocular region for smartphone biometrics, and face anti-spoofing on mobile devices"--Publisher's website.;

538 a| Mode of access: World Wide Web;

650 0 a| Biometric identification.=| ^A692510;

650 0 a| Computer security.=| ^A257308;

650 0 a| Mobile computing.=| ^A416524;

650 7 a| Biometric identification.2| fast0| (OCoLC)fst00832607;

650 7 a| Computer security.2| fast0| (OCoLC)fst00872484;

650 7 a| Mobile computing.2| fast0| (OCoLC)fst01024221;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Guo, Guodong.=| ^A1372960;

700 1 a| Wechsler, Harry,d| 1948-=| ^A1201606;

830 0 a| IET security series ;v| 3.=| ^A1319016;

830 0 a| IET book series on advances in biometrics.=| ^A1373292;

856 40 z| Full text available from IET Digital Library - Booksu| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fdigital-library.theiet.org%2Fdoi%2Fbook%2F10.1049%2FPBSE003E;

947 a| (OCoLC)ocn968776781;

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949 a| CLICK ON WEB ADDRESSw| ASISh| HSL77;

949 a| CLICK ON WEB ADDRESSw| ASISh| JMUSIC60;

596 a| 1 3 4;

998 a| 6476512;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6476512-1001l| JNETm| JOYNERr| Ys| Yt| JNESSBKu| 9/14/2024x| EBOOKz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6476512-2001l| HSLELECm| HSLr| Ys| Yt| HEBKu| 9/14/2024x| EBOOKz| HERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6476512-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 9/14/2024x| EBOOKz| JERESOURCE;

Mobile biometrics / edited by Guodong Guo and Harry Wechsler.

Other author	Guo, Guodong.
Other author	Wechsler, Harry, 1948-
Format	Electronic
Publication Info	London : The Institution of Engineering and Technology, 2017.
Description	xvi, 472 pages : illustrations ; 24 cm.
Supplemental Content	Full text available from IET Digital Library - Books
Subjects	Biometric identification. Computer security. Mobile computing.

Series	IET security series ; 03 The IET book series on advances in biometrics IET security series ; 3. ^A1319016 IET book series on advances in biometrics. ^A1373292
Contents	Mobile biometrics / Guodong Guo and Harry Wechsler -- Mobile biometric device design : history and challenges / Peter Z. Lo and Michael Rathwell -- Challenges in developing mass-market mobile biometric sensors / Richard K. Fenrich -- Deep neural networks for mobile person recognition with audio-visual signals / M.R. Alam, M. Bennamoun, R. Togneri, and F. Sohel -- Active authentication using facial attributes / Pouya Samangouei, Emily Hand, Vishal M. Patel, and Rama Chellappa -- Fusion of shape and texture features for lip biometry in mobile devices / Rahul Raman, Pankaj K. Sa, Banshidhar Majhi, and Sambit Bakshi -- Mobile device usage data as behavioral biometrics / Tempestt J. Neal, Damon L. Woodard, and Aaron D. Striegel -- Continuous mobile authentication using user-phone interaction / Xi Zhao, Tao Feng, Xiaoni Lu, Weidong Shi, and Ioannis A. Kakadiaris -- Smartwatch-based gait biometrics / Andrew Johnston -- Toward practical mobile gait biometrics / Yu Zhong and Yunbin Deng -- 4FTM-ID : mobile four-fingers biometrics system / Asem Othman, Francis Mather and Hector Hoyos -- Palmprint recognition on mobile devices / Lu Leng -- Addressing the presentation attacks using periocular region for smartphone biometric / Kiran B. Raja, R. Raghavendra, and Christoph Busch -- Countermeasures to face photo spoofing attacks by exploiting structure and texture information from rotated face sequences / Zhen Lei, Wang Tao, Xiangyu Zhu, Tianyu Fu, and Stan Z. Li -- Biometric antispoofing on mobile devices / Zahid Akhtar, Christian Micheloni, and Gian Luca Foresti -- Biometric open protocol standard / Scott Streit and Hector Hoyos -- Big data and cloud identity service for mobile authentication / Charles Y. Li and Nalini K. Ratha -- Outlook for mobile biometrics / Guodong Guo and Harry Wechsler.
Abstract	"Mobile biometrics--the use of physical and/or behavioral characteristics of humans to allow their recognition by mobile/smart phones--aims to achieve conventional functionality and robustness while also supporting portability and mobility, bringing greater convenience and opportunity for its deployment in a wide range of operational environments from consumer applications to law enforcement. But achieving these aims brings new challenges such as issues with power consumption, algorithm complexity, device memory limitations, frequent changes in operational environment, security, durability, reliability, and connectivity. Mobile Biometrics provides a timely survey of the state of the art research and developments in this rapidly growing area. Topics covered in Mobile biometrics include mobile biometric sensor design, deep neural network for mobile person recognition with audio-visual signals, active authentication using facial attributes, fusion of shape and texture features for lip biometry in mobile devices, mobile device usage data as behavioral biometrics, continuous mobile authentication using user phone interaction, smartwatch-based gait biometrics, mobile four-fingers biometrics system, palm print recognition on mobile devices, periocular region for smartphone biometrics, and face anti-spoofing on mobile devices"--Publisher's website.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2017449855
ISBN	9781785610950 (hardback)
ISBN	1785610953 (hardback)
ISBN	(pdf)

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