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Multispectral biometrics = systems a...

Zhang, David.

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Multispectral biometrics = systems and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Multispectral biometrics/ by David Zhang, Zhenhua Guo, Yazhuo Gong.
Reminder of title:	systems and applications /
Author:	Zhang, David.
other author:	Guo, Zhenhua.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xi, 229 p. :ill., digital ;24 cm.
[NT 15003449]:	Multimodal Fusion for Robust Identity Authentication: Role of Liveness Checks -- Multimodal Biometric Person Recognition System Based on Multi-Spectral Palmprint Features Using Fusion of Wavelet Representations -- Audio-Visual Biometrics and Forgery -- Face and ECG Based Multi-Modal Biometric Authentication -- Biometrical Fusion - Input Statistical Distribution -- Normalization of Infrared Facial Images under Variant Ambient Temperatures -- Use of Spectral Biometrics for Aliveness Detection -- A Contactless Biometric System Using Palm Print and Palm Vein Features -- Liveness Detection in Biometrics -- Fingerprint Recognition -- A Gender Detection Approach -- Improving Iris Recognition Performance Using Quality Measures -- Application of LCS Algorithm to Authenticate Users within Their Mobile Phone Through In-Air Signatures -- Performance Comparison of Principal Component Analysis-Based Face Recognition in Color Space -- Block Coding Schemes Designed for Biometric Authentication -- Perceived Age Estimation from Face Images -- Cell Biometrics Based on Bio-Impedance Measurements -- Hand Biometrics in Mobile Dices.
Contained By:	Springer eBooks
Subject:	Biometric identification. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-22485-5
ISBN:	9783319224855$q(electronic bk.)

Multispectral biometrics = systems and applications /
Zhang, David.

Multispectral biometricssystems and applications /[electronic resource] :by David Zhang, Zhenhua Guo, Yazhuo Gong. - Cham :Springer International Publishing :2016. - xi, 229 p. :ill., digital ;24 cm.

Multimodal Fusion for Robust Identity Authentication: Role of Liveness Checks -- Multimodal Biometric Person Recognition System Based on Multi-Spectral Palmprint Features Using Fusion of Wavelet Representations -- Audio-Visual Biometrics and Forgery -- Face and ECG Based Multi-Modal Biometric Authentication -- Biometrical Fusion - Input Statistical Distribution -- Normalization of Infrared Facial Images under Variant Ambient Temperatures -- Use of Spectral Biometrics for Aliveness Detection -- A Contactless Biometric System Using Palm Print and Palm Vein Features -- Liveness Detection in Biometrics -- Fingerprint Recognition -- A Gender Detection Approach -- Improving Iris Recognition Performance Using Quality Measures -- Application of LCS Algorithm to Authenticate Users within Their Mobile Phone Through In-Air Signatures -- Performance Comparison of Principal Component Analysis-Based Face Recognition in Color Space -- Block Coding Schemes Designed for Biometric Authentication -- Perceived Age Estimation from Face Images -- Cell Biometrics Based on Bio-Impedance Measurements -- Hand Biometrics in Mobile Dices.

Describing several new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris recognition technologies, this book analyzes a number of efficient feature extraction, matching and fusion algorithms and how potential systems have been developed. Focusing on how to develop new biometric technologies based on the requirements of applications, and how to design efficient algorithms to deliver better performance, the work is based on the author's research with experimental results under different challenging conditions described in the text. The book offers a valuable resource for researchers, professionals and postgraduate students working in the fields of computer vision, pattern recognition, biometrics, and security applications, amongst others.

ISBN: 9783319224855$q(electronic bk.)

Standard No.: 10.1007/978-3-319-22485-5doiSubjects--Topical Terms:

729691
Biometric identification.

LC Class. No.: TK7882.B56 / Z43 2016

Dewey Class. No.: 006.4

Multispectral biometrics = systems and applications /
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100 1 $a Zhang, David. $3 1073796
245 1 0 $a Multispectral biometrics $h [electronic resource] : $b systems and applications / $c by David Zhang, Zhenhua Guo, Yazhuo Gong.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xi, 229 p. : $b ill., digital ; $c 24 cm.
505 0 $a Multimodal Fusion for Robust Identity Authentication: Role of Liveness Checks -- Multimodal Biometric Person Recognition System Based on Multi-Spectral Palmprint Features Using Fusion of Wavelet Representations -- Audio-Visual Biometrics and Forgery -- Face and ECG Based Multi-Modal Biometric Authentication -- Biometrical Fusion - Input Statistical Distribution -- Normalization of Infrared Facial Images under Variant Ambient Temperatures -- Use of Spectral Biometrics for Aliveness Detection -- A Contactless Biometric System Using Palm Print and Palm Vein Features -- Liveness Detection in Biometrics -- Fingerprint Recognition -- A Gender Detection Approach -- Improving Iris Recognition Performance Using Quality Measures -- Application of LCS Algorithm to Authenticate Users within Their Mobile Phone Through In-Air Signatures -- Performance Comparison of Principal Component Analysis-Based Face Recognition in Color Space -- Block Coding Schemes Designed for Biometric Authentication -- Perceived Age Estimation from Face Images -- Cell Biometrics Based on Bio-Impedance Measurements -- Hand Biometrics in Mobile Dices.
520 $a Describing several new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris recognition technologies, this book analyzes a number of efficient feature extraction, matching and fusion algorithms and how potential systems have been developed. Focusing on how to develop new biometric technologies based on the requirements of applications, and how to design efficient algorithms to deliver better performance, the work is based on the author's research with experimental results under different challenging conditions described in the text. The book offers a valuable resource for researchers, professionals and postgraduate students working in the fields of computer vision, pattern recognition, biometrics, and security applications, amongst others.
650 0 $a Biometric identification. $3 729691
650 0 $a Multispectral imaging. $3 2148255
650 1 4 $a Engineering. $3 586835
650 2 4 $a Biometrics. $3 898232
650 2 4 $a Biomedical Engineering. $3 720279
650 2 4 $a Signal, Image and Speech Processing. $3 891073
700 1 $a Guo, Zhenhua. $3 2179924
700 1 $a Gong, Yazhuo. $3 2179925
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-22485-5
950 $a Engineering (Springer-11647)