東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"User Interfaces and Human Computer Interaction." ]

切換: 標籤 | MARC模式 | ISBD

Selfie biometrics = advances and cha...

Rattani, Ajita.

FindBook

Google Book

Amazon

博客來

Selfie biometrics = advances and challenges /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Selfie biometrics/ edited by Ajita Rattani, Reza Derakhshani, Arun Ross.
其他題名:	advances and challenges /
其他作者:	Rattani, Ajita.
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	ix, 380 p. :ill. (some col.), digital ;24 cm.
內容註:	1. Introduction to Selfie Biometrics -- Part I: Selfie Finger, Ocular and Face Biometrics -- 2. User Authentication via Finger-selfies -- 3. A Scheme for Fingerphoto Recognition in Smartphones -- 4. MICHE Competitions: A Realistic Experience with Uncontrolled Eye Region Acquisition -- 5. Super-Resolution for Selfie Biometrics: Introduction and Application to Face and Iris -- 6. Foveated Vision for Biologically-inspired Continuous face Authentication.
Contained By:	Springer eBooks
標題:	Biometric identification. -
電子資源:	https://doi.org/10.1007/978-3-030-26972-2
ISBN:	9783030269722

Selfie biometrics = advances and challenges /
Selfie biometricsadvances and challenges /[electronic resource] :edited by Ajita Rattani, Reza Derakhshani, Arun Ross. - Cham :Springer International Publishing :2019. - ix, 380 p. :ill. (some col.), digital ;24 cm. - Advances in computer vision and pattern recognition,2191-6586. - Advances in computer vision and pattern recognition..

1. Introduction to Selfie Biometrics -- Part I: Selfie Finger, Ocular and Face Biometrics -- 2. User Authentication via Finger-selfies -- 3. A Scheme for Fingerphoto Recognition in Smartphones -- 4. MICHE Competitions: A Realistic Experience with Uncontrolled Eye Region Acquisition -- 5. Super-Resolution for Selfie Biometrics: Introduction and Application to Face and Iris -- 6. Foveated Vision for Biologically-inspired Continuous face Authentication.

This book highlights the field of selfie biometrics, providing a clear overview and presenting recent advances and challenges. It also discusses numerous selfie authentication techniques on mobile devices. Biometric authentication using mobile devices is becoming a convenient and important means of verifying identity for secured access and services such as telebanking and electronic transactions. In this context, face and ocular biometrics in the visible spectrum has gained increased attention from the research community. However, device mobility and operation in uncontrolled environments mean that facial and ocular images captured with mobile devices exhibit substantial degradation as a result of adverse lighting conditions, specular reflections and motion and defocus blur. In addition, low spatial resolution and the small sensor of front-facing mobile cameras further degrade the sample quality, reducing the recognition accuracy of face and ocular recognition technology when integrated into smartphones. Presenting the state of the art in mobile biometric research and technology, and offering an overview of the potential problems in real-time integration of biometrics in mobile devices, this book is a valuable resource for final-year undergraduate students, postgraduate students, engineers, researchers and academics in various fields of computer engineering.

ISBN: 9783030269722

Standard No.: 10.1007/978-3-030-26972-2doiSubjects--Topical Terms:

729691
Biometric identification.

LC Class. No.: TK7882.B56 / S45 2019

Dewey Class. No.: 006.248

Selfie biometrics = advances and challenges /
LDR:02946nmm a2200349 a 4500 001 2193142
003 DE-He213
005 20190921110018.0
006 m d
007 cr nn 008maaau
008 200514s2019 gw s 0 eng d
020 $a 9783030269722 $q (electronic bk.)
020 $a 9783030269715 $q (paper)
024 7 $a 10.1007/978-3-030-26972-2 $2 doi
035 $a 978-3-030-26972-2
040 $a GP $c GP
041 0 $a eng
050 4 $a TK7882.B56 $b S45 2019
072 7 $a UYQP $2 bicssc
072 7 $a COM016000 $2 bisacsh
072 7 $a UYQP $2 thema
072 7 $a UYQV $2 thema
082 0 4 $a 006.248 $2 23
090 $a TK7882.B56 $b S465 2019
245 0 0 $a Selfie biometrics $h [electronic resource] : $b advances and challenges / $c edited by Ajita Rattani, Reza Derakhshani, Arun Ross.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a ix, 380 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Advances in computer vision and pattern recognition, $x 2191-6586
505 0 $a 1. Introduction to Selfie Biometrics -- Part I: Selfie Finger, Ocular and Face Biometrics -- 2. User Authentication via Finger-selfies -- 3. A Scheme for Fingerphoto Recognition in Smartphones -- 4. MICHE Competitions: A Realistic Experience with Uncontrolled Eye Region Acquisition -- 5. Super-Resolution for Selfie Biometrics: Introduction and Application to Face and Iris -- 6. Foveated Vision for Biologically-inspired Continuous face Authentication.
520 $a This book highlights the field of selfie biometrics, providing a clear overview and presenting recent advances and challenges. It also discusses numerous selfie authentication techniques on mobile devices. Biometric authentication using mobile devices is becoming a convenient and important means of verifying identity for secured access and services such as telebanking and electronic transactions. In this context, face and ocular biometrics in the visible spectrum has gained increased attention from the research community. However, device mobility and operation in uncontrolled environments mean that facial and ocular images captured with mobile devices exhibit substantial degradation as a result of adverse lighting conditions, specular reflections and motion and defocus blur. In addition, low spatial resolution and the small sensor of front-facing mobile cameras further degrade the sample quality, reducing the recognition accuracy of face and ocular recognition technology when integrated into smartphones. Presenting the state of the art in mobile biometric research and technology, and offering an overview of the potential problems in real-time integration of biometrics in mobile devices, this book is a valuable resource for final-year undergraduate students, postgraduate students, engineers, researchers and academics in various fields of computer engineering.
650 0 $a Biometric identification. $3 729691
650 1 4 $a Biometrics. $3 898232
650 2 4 $a User Interfaces and Human Computer Interaction. $3 892554
700 1 $a Rattani, Ajita. $3 2162437
700 1 $a Derakhshani, Reza. $3 1910958
700 1 $a Ross, Arun. $3 3414035
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Advances in computer vision and pattern recognition. $3 1567575
856 4 0 $u https://doi.org/10.1007/978-3-030-26972-2
950 $a Computer Science (Springer-11645)