國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Advanced biometrics

Lu, Guangming.

Advanced biometrics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advanced biometricsby David Zhang, Guangming Lu, Lei Zhang.
作者:	Zhang, David.
其他作者:	Lu, Guangming.
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	xiii, 335 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Biometric identification.
電子資源:	http://dx.doi.org/10.1007/978-3-319-61545-5
ISBN:	9783319615455$q(electronic bk.)

Advanced biometrics
Zhang, David.

Advanced biometrics[electronic resource] /by David Zhang, Guangming Lu, Lei Zhang. - Cham :Springer International Publishing :2018. - xiii, 335 p. :ill., digital ;24 cm.

OVERVIEW -- High Resolution Partial Fingerprint Alignment using Pore-Valley Descriptors -- Adaptive Fingerprint Pore Modeling and Extraction -- A Reference High Resolution using Minutiae and Pores -- Online Finger-Knuckle-Print Verification for Personal Authentication -- Phase Congruency Induced Local Features for FKP Verification -- Ensemble of Local and Global Information for Finger-Knuckle-Print Verification -- Reconstruction based FKP Verification with Score Level Adaptive Binary Fusion -- 3D Fingerprint Reconstruction and Recognition -- Multi-Spectral Backhand Authentication.

This book describes a range of new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris technologies. Further, it introduces readers to efficient feature extraction, matching and fusion algorithms, in addition to developing potential systems of its own. These advanced biometric technologies and methods are divided as follows: 1. High-Resolution Fingerprint Recognition; 2. Finger-Knuckle-Print Verification; 3. Other Hand-Based Biometrics; and 4. New Head-Based Biometrics. Traditional biometric technologies, such as fingerprint, face, iris, and palmprint, have been extensively studied and addressed in many research books. However, all of these technologies have their own advantages and disadvantages, and there is no single type of biometric technology that can be used for all applications. Many new biometric technologies have been developed in recent years, especially in response to new applications. The contributions gathered here focus on how to develop a new biometric technology based on the requirements of essential applications, and how to design efficient algorithms that yield better performance.

ISBN: 9783319615455$q(electronic bk.)

Standard No.: 10.1007/978-3-319-61545-5doiSubjects--Topical Terms:

256971
Biometric identification.

LC Class. No.: TK7882.B56

Dewey Class. No.: 006.248

Advanced biometrics
LDR:02797nmm a2200337 a 4500 001 527879
003 DE-He213
005 20170810141916.0
006 m d
007 cr nn 008maaau
008 181022s2018 gw s 0 eng d
020 $a 9783319615455$q(electronic bk.)
020 $a 9783319615448$q(paper)
024 7 $a 10.1007/978-3-319-61545-5 $2 doi
035 $a 978-3-319-61545-5
040 $a GP $c GP
041 0 $a eng
050 4 $a TK7882.B56
072 7 $a TTBM $2 bicssc
072 7 $a UYS $2 bicssc
072 7 $a TEC008000 $2 bisacsh
072 7 $a COM073000 $2 bisacsh
082 0 4 $a 006.248 $2 23
090 $a TK7882.B56 $b Z63 2018
100 1 $a Zhang, David. $3 470349
245 1 0 $a Advanced biometrics $h [electronic resource] / $c by David Zhang, Guangming Lu, Lei Zhang.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xiii, 335 p. : $b ill., digital ; $c 24 cm.
505 0 $a OVERVIEW -- High Resolution Partial Fingerprint Alignment using Pore-Valley Descriptors -- Adaptive Fingerprint Pore Modeling and Extraction -- A Reference High Resolution using Minutiae and Pores -- Online Finger-Knuckle-Print Verification for Personal Authentication -- Phase Congruency Induced Local Features for FKP Verification -- Ensemble of Local and Global Information for Finger-Knuckle-Print Verification -- Reconstruction based FKP Verification with Score Level Adaptive Binary Fusion -- 3D Fingerprint Reconstruction and Recognition -- Multi-Spectral Backhand Authentication.
520 $a This book describes a range of new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris technologies. Further, it introduces readers to efficient feature extraction, matching and fusion algorithms, in addition to developing potential systems of its own. These advanced biometric technologies and methods are divided as follows: 1. High-Resolution Fingerprint Recognition; 2. Finger-Knuckle-Print Verification; 3. Other Hand-Based Biometrics; and 4. New Head-Based Biometrics. Traditional biometric technologies, such as fingerprint, face, iris, and palmprint, have been extensively studied and addressed in many research books. However, all of these technologies have their own advantages and disadvantages, and there is no single type of biometric technology that can be used for all applications. Many new biometric technologies have been developed in recent years, especially in response to new applications. The contributions gathered here focus on how to develop a new biometric technology based on the requirements of essential applications, and how to design efficient algorithms that yield better performance.
650 0 $a Biometric identification. $3 256971
650 1 4 $a Engineering. $3 210888
650 2 4 $a Signal, Image and Speech Processing. $3 273768
650 2 4 $a Biometrics. $3 274525
650 2 4 $a Biomedical Engineering. $3 190464
700 1 $a Lu, Guangming. $3 799923
700 1 $a Zhang, Lei. $3 737868
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-61545-5
950 $a Engineering (Springer-11647)