大葉大學圖書館 |

Multispectral biometrics[electronic resource] :systems and applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.4
書名/作者:	Multispectral biometrics : systems and applications // by David Zhang, Zhenhua Guo, Yazhuo Gong.
作者:	Zhang, David.
其他作者:	Guo, Zhenhua.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xi, 229 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Biometric identification.
標題:	Multispectral imaging.
標題:	Engineering.
標題:	Signal, Image and Speech Processing.
標題:	Biometrics.
標題:	Biomedical Engineering.
ISBN:	9783319224855
ISBN:	9783319224848
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-22485-5

Multispectral biometrics[electronic resource] :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

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

342621
Biometric identification.

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

Dewey Class. No.: 006.4

Multispectral biometrics[electronic resource] :systems and applications /
LDR:03011nam a2200337 a 4500 001 454911
003 DE-He213
005 20160721101645.0
006 m d
007 cr nn 008maaau
008 161227s2016 gw s 0 eng d
020 $a 9783319224855 $q (electronic bk.)
020 $a 9783319224848 $q (paper)
024 7 $a 10.1007/978-3-319-22485-5 $2 doi
035 $a 978-3-319-22485-5
040 $a GP $c GP
041 0 $a eng
050 4 $a TK7882.B56 $b Z43 2016
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 006.4 $2 23
090 $a TK7882.B56 $b Z63 2016
100 1 $a Zhang, David. $3 640407
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 342621
650 0 $a Multispectral imaging. $3 624043
650 1 4 $a Engineering. $3 372756
650 2 4 $a Signal, Image and Speech Processing. $3 463860
650 2 4 $a Biometrics. $3 468064
650 2 4 $a Biomedical Engineering. $3 382389
700 1 $a Guo, Zhenhua. $3 652829
700 1 $a Gong, Yazhuo. $3 652830
710 2 $a SpringerLink (Online service) $3 463450
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)