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Advanced biometrics

Lu, Guangming.

Advanced biometrics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advanced biometricsby David Zhang, Guangming Lu, Lei Zhang.
Author:	Zhang, David.
other author:	Lu, Guangming.
Published:	Cham :Springer International Publishing :2018.
Description:	xiii, 335 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Biometric identification.
Online resource:	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
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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
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856 4 0 $u http://dx.doi.org/10.1007/978-3-319-61545-5
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