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:"Biometric identification" ]

切換: 標籤 | MARC模式 | ISBD

Handbook of biometrics for forensic ...

Tistarelli, Massimo.

FindBook

Google Book

Amazon

博客來

Handbook of biometrics for forensic science

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Handbook of biometrics for forensic science/ edited by Massimo Tistarelli, Christophe Champod.
其他作者:	Tistarelli, Massimo.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	viii, 369 p. :ill., digital ;24 cm.
內容註:	Biometric Technologies for Forensic Science and Policing: State of the Art -- Part I: Analysis of Fingerprints and Fingermarks -- Capture and Analysis of Latent Marks -- Automated Fingerprint Identification Systems: From Fingerprints to Fingermarks -- Challenges for Fingerprint Recognition: Spoofing, Skin Diseases and Environmental Effects -- Altered Fingerprint Detection -- Part II: Face and Video Analysis -- Face Sketch Recognition via Data-Driven Synthesis -- Recent Developments in Video-Based Face Recognition -- Face Recognition Technologies for Evidential Evaluation of Video Traces -- Human Factors in Forensic Face Identification -- Part III: Human Motion, Speech and Behavioral Analysis -- Biometric Evidence in Forensic Automatic Speaker Recognition -- On Using Soft Biometrics in Forensic Investigation -- Locating People in Surveillance Video Using Soft Biometric Traits -- Contact-Free Heartbeat Signal for Human Identification and Forensics -- Part IV: Statistical Analysis of Forensic Biometric Data -- From Biometric Scores to Forensic Likelihood Ratios -- Dynamic Signatures as Forensic Evidence: A New Expert Tool Including Population Statistics -- Part V: Ethical and Legal Issues -- Ethics and Policy of Forensic Biometrics.
Contained By:	Springer eBooks
標題:	Biometric identification - Handbooks, manuals, etc. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-50673-9
ISBN:	9783319506739

Handbook of biometrics for forensic science
Handbook of biometrics for forensic science[electronic resource] /edited by Massimo Tistarelli, Christophe Champod. - Cham :Springer International Publishing :2017. - viii, 369 p. :ill., digital ;24 cm. - Advances in computer vision and pattern recognition,2191-6586. - Advances in computer vision and pattern recognition..

Biometric Technologies for Forensic Science and Policing: State of the Art -- Part I: Analysis of Fingerprints and Fingermarks -- Capture and Analysis of Latent Marks -- Automated Fingerprint Identification Systems: From Fingerprints to Fingermarks -- Challenges for Fingerprint Recognition: Spoofing, Skin Diseases and Environmental Effects -- Altered Fingerprint Detection -- Part II: Face and Video Analysis -- Face Sketch Recognition via Data-Driven Synthesis -- Recent Developments in Video-Based Face Recognition -- Face Recognition Technologies for Evidential Evaluation of Video Traces -- Human Factors in Forensic Face Identification -- Part III: Human Motion, Speech and Behavioral Analysis -- Biometric Evidence in Forensic Automatic Speaker Recognition -- On Using Soft Biometrics in Forensic Investigation -- Locating People in Surveillance Video Using Soft Biometric Traits -- Contact-Free Heartbeat Signal for Human Identification and Forensics -- Part IV: Statistical Analysis of Forensic Biometric Data -- From Biometric Scores to Forensic Likelihood Ratios -- Dynamic Signatures as Forensic Evidence: A New Expert Tool Including Population Statistics -- Part V: Ethical and Legal Issues -- Ethics and Policy of Forensic Biometrics.

This comprehensive handbook addresses the sophisticated forensic threats and challenges that have arisen in the modern digital age, and reviews the new computing solutions that have been proposed to tackle them. These include identity-related scenarios which cannot be solved with traditional approaches, such as attacks on security systems and the identification of abnormal/dangerous behaviors from remote cameras, for which advanced identification technologies and pattern recognition algorithms can offer novel ways to provide proof of identity. Topics and features: Presents the first dedicated volume on biometrics for forensic science and criminal investigations Contains contributions from an international selection of preeminent authorities, including members of the EU COST Action "Biometrics and Forensics for the Digital Age" Provides an in-depth analysis of the state of the art, together with a broad review of the available technologies and their potential applications Discusses potential future developments in the adoption of advanced technologies for the automated or semi-automated analysis of forensic traces Presents a particular focus on the acquisition and processing of data from real-world forensic cases Offers an holistic perspective, integrating work from different research institutions and combining viewpoints from both biometric technologies and forensic science This innovative volume will inspire and inform professionals, young researchers and graduate students interested in the use of cutting-edge biometric technologies in the service of criminal investigations. Dr. Massimo Tistarelli is a Professor of Computer Science in the Department of Communication Science and Information Technology at the University of Sassari. Dr. Christophe Champod is a Professor of Forensic Science in the School of Criminal Justice at the University of Lausanne.

ISBN: 9783319506739

Standard No.: 10.1007/978-3-319-50673-9doiSubjects--Topical Terms:

3221308
Biometric identification
--Handbooks, manuals, etc.

LC Class. No.: TK7882.B56

Dewey Class. No.: 006.248

Handbook of biometrics for forensic science
LDR:04194nmm a2200337 a 4500 001 2090107
003 DE-He213
005 20170202104711.0
006 m d
007 cr nn 008maaau
008 171013s2017 gw s 0 eng d
020 $a 9783319506739 $q (electronic bk.)
020 $a 9783319506715 $q (paper)
024 7 $a 10.1007/978-3-319-50673-9 $2 doi
035 $a 978-3-319-50673-9
040 $a GP $c GP
041 0 $a eng
050 4 $a TK7882.B56
072 7 $a UYQP $2 bicssc
072 7 $a UYQV $2 bicssc
072 7 $a COM016000 $2 bisacsh
082 0 4 $a 006.248 $2 23
090 $a TK7882.B56 $b H236 2017
245 0 0 $a Handbook of biometrics for forensic science $h [electronic resource] / $c edited by Massimo Tistarelli, Christophe Champod.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a viii, 369 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in computer vision and pattern recognition, $x 2191-6586
505 0 $a Biometric Technologies for Forensic Science and Policing: State of the Art -- Part I: Analysis of Fingerprints and Fingermarks -- Capture and Analysis of Latent Marks -- Automated Fingerprint Identification Systems: From Fingerprints to Fingermarks -- Challenges for Fingerprint Recognition: Spoofing, Skin Diseases and Environmental Effects -- Altered Fingerprint Detection -- Part II: Face and Video Analysis -- Face Sketch Recognition via Data-Driven Synthesis -- Recent Developments in Video-Based Face Recognition -- Face Recognition Technologies for Evidential Evaluation of Video Traces -- Human Factors in Forensic Face Identification -- Part III: Human Motion, Speech and Behavioral Analysis -- Biometric Evidence in Forensic Automatic Speaker Recognition -- On Using Soft Biometrics in Forensic Investigation -- Locating People in Surveillance Video Using Soft Biometric Traits -- Contact-Free Heartbeat Signal for Human Identification and Forensics -- Part IV: Statistical Analysis of Forensic Biometric Data -- From Biometric Scores to Forensic Likelihood Ratios -- Dynamic Signatures as Forensic Evidence: A New Expert Tool Including Population Statistics -- Part V: Ethical and Legal Issues -- Ethics and Policy of Forensic Biometrics.
520 $a This comprehensive handbook addresses the sophisticated forensic threats and challenges that have arisen in the modern digital age, and reviews the new computing solutions that have been proposed to tackle them. These include identity-related scenarios which cannot be solved with traditional approaches, such as attacks on security systems and the identification of abnormal/dangerous behaviors from remote cameras, for which advanced identification technologies and pattern recognition algorithms can offer novel ways to provide proof of identity. Topics and features: Presents the first dedicated volume on biometrics for forensic science and criminal investigations Contains contributions from an international selection of preeminent authorities, including members of the EU COST Action "Biometrics and Forensics for the Digital Age" Provides an in-depth analysis of the state of the art, together with a broad review of the available technologies and their potential applications Discusses potential future developments in the adoption of advanced technologies for the automated or semi-automated analysis of forensic traces Presents a particular focus on the acquisition and processing of data from real-world forensic cases Offers an holistic perspective, integrating work from different research institutions and combining viewpoints from both biometric technologies and forensic science This innovative volume will inspire and inform professionals, young researchers and graduate students interested in the use of cutting-edge biometric technologies in the service of criminal investigations. Dr. Massimo Tistarelli is a Professor of Computer Science in the Department of Communication Science and Information Technology at the University of Sassari. Dr. Christophe Champod is a Professor of Forensic Science in the School of Criminal Justice at the University of Lausanne.
650 0 $a Biometric identification $v Handbooks, manuals, etc. $3 3221308
650 0 $a Forensic sciences $v Handbooks, manuals, etc. $3 871346
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Biometrics. $3 898232
650 2 4 $a Forensic Science. $3 927773
650 2 4 $a Criminal Law. $3 842261
650 2 4 $a Civil Law. $3 897212
700 1 $a Tistarelli, Massimo. $3 892973
700 1 $a Champod, Christophe. $3 3221307
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 http://dx.doi.org/10.1007/978-3-319-50673-9
950 $a Computer Science (Springer-11645)