Biometric Technology For Human Identification
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Biometric Technology For Human Identification
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Author :
language : en
Publisher:
Release Date : 2007
Biometric Technology For Human Identification written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Biometric identification categories.
Biometric Technology For Human Identification Iii
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Author :
language : en
Publisher:
Release Date : 2006
Biometric Technology For Human Identification Iii written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Biometric identification categories.
Biometric Technology For Human Identification
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Author : Anil K. Jain
language : en
Publisher: Society of Photo Optical
Release Date : 2004-01
Biometric Technology For Human Identification written by Anil K. Jain and has been published by Society of Photo Optical this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-01 with Medical categories.
Includes Proceedings Vol. 7821
Biometric Technology For Human Identification V 18 19 March 2008 Orlando Florida Usa
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Author :
language : en
Publisher:
Release Date : 2008
Biometric Technology For Human Identification V 18 19 March 2008 Orlando Florida Usa written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Biometric identification categories.
Advanced Pattern Recognition Technologies With Applications To Biometrics
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Author : David Zhang
language : en
Publisher: IGI Global Snippet
Release Date : 2009
Advanced Pattern Recognition Technologies With Applications To Biometrics written by David Zhang and has been published by IGI Global Snippet this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computers categories.
"This book focuses on two kinds of advanced biometric recognition technologies, biometric data discrimination and multi-biometrics"--Provided by publisher.
Biometric Technology For Human Identification Ii
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Author :
language : en
Publisher:
Release Date : 2005
Biometric Technology For Human Identification Ii written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
Multibiometric Systems
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Author : Karthik Nandakumar
language : en
Publisher:
Release Date : 2008
Multibiometric Systems written by Karthik Nandakumar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Biometric identification categories.
Multibiometric systems are gaining popularity because they are able to overcome limitations such as non-universality, noisy sensor data and susceptibility to spoof attacks common in unibiometric systems. We address two critical issues in the design of a multibiometric system, namely, fusion methodology and template security. We propose a fusion methodology based on the Neyman-Pearson theorem for combination of match scores provided by multiple biometric matchers. The likelihood ratio (LR) test used in the Neyman-Pearson theorem directly maximizes the genuine accept rate (GAR) at any desired false accept rate (FAR). We extend the likelihood ratio based fusion scheme to incorporate the quality of the biometric samples. The LR framework can be used for designing sequential multibiometric systems by constructing a binary decision tree classifier based on the marginal likelihood ratios of the individual matchers. The use of image quality information further improves the GAR to 90% at a FAR of 0:001%. Next, we show that the proposed likelihood ratio based fusion framework is also applicable to a multibiometric system operating in the identification mode. We investigate rank level fusion strategies and propose a hybrid scheme that utilizes both ranks and scores to perform fusion in the identification scenario. Fusion of multiple biometric sources requires storage of multiple templates for the same user corresponding to the individual biometric sources. Template security is an important issue because stolen biometric templates cannot be revoked. We propose a scheme for securing multibiometric templates as a single entity using the fuzzy vault framework. We have developed fully automatic implementa- tions of a ngerprint-based fuzzy vault that secures minutiae templates and an iris cryptosystem that secures iris code templates. We also demonstrate that a multibiometric vault achieves better recognition performance and higher security compared to a unibiometric vault.
Human Detection And Positive Identification Methods And Technologies
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Author : Lisa A. Alyea
language : en
Publisher: SPIE-International Society for Optical Engineering
Release Date : 1997
Human Detection And Positive Identification Methods And Technologies written by Lisa A. Alyea and has been published by SPIE-International Society for Optical Engineering this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Law categories.
Design And Implementation Of Iris Pattern Recognition Based On Wireless Network Systems
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Author : Thura Ali Khalaf
language : en
Publisher: GRIN Verlag
Release Date : 2019-06-04
Design And Implementation Of Iris Pattern Recognition Based On Wireless Network Systems written by Thura Ali Khalaf and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-04 with Computers categories.
Master's Thesis from the year 2016 in the subject Computer Science - Technical Computer Science, grade: 81, , language: English, abstract: The goal of this thesis is to propose a fast and accurate iris pattern recognition system based on wireless network system. This thesis presents three parts; in the first part, Libor Masek algorithm is enhanced to achieve higher recognition rate. Another method of iris pattern recognition is proposed which named genetic algorithm. The two used iris pattern recognition methods are compared according to their accuracy and execution time. When testing persons of the Chinese Academy of Sciences Institute of Automation (CASIA) database, both methods achieved 100% recognition rates because there is at least one image sample for each person, which is correct matched and there is no person that is false matched. But when testing image samples per persons of CASIA database, the genetic algorithm achieved higher recognition rates and lower error rates than Libor Masek algorithm. It has been found, that the recognition time of genetic algorithm is less than Masek algorithm. The second part presents an iris image compression/decompression by using Principal Component Analysis (PCA) for compression process and Inverse Principal Component Analysis (IPCA) for decompression process. It has been proven that PCA is the most suitable method for compressing iris images because of its ability to reduce their size while maintaining the good quality of the reconstructed images. Reconstructed images using IPCA have low compression ratios (CRs) and high Peak to Signal Ratios (PSNRs), which leads to good quality. For more security, a multi-stage image compression is performed in order to protect network’s transmitted data from hackers because hackers cannot guess how much the image has been compressed. The third part, includes wireless network system consisting of one central Personal Computer (PC) and four Personal Computers (PCs) that communicate with each other through router device. The central PC takes the responsibility of monitoring and controlling the PCs of the whole network. All network PCs communicate with each other by using Transmission Control Protocol /Internet Protocol (TCP/IP) protocol suite that use client-server sockets to transfer images between PCs on the network.
Behavioral Biometrics
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Author : Kenneth Revett
language : en
Publisher: John Wiley & Sons
Release Date : 2008-11-03
Behavioral Biometrics written by Kenneth Revett and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-03 with Computers categories.
With the advent of the internet as a medium for performing business transactions, the need for a secure communication channel has never been more paramount. The study of behavioral biometrics - the verification and/or identification of individuals based on the way they provide information to an authentication system - originated from the need for a small footprint, versatile alternative to expensive hardware-based, or physiological, biometrics. As an emerging alternative to these traditional and more well-known physiological biometrics such as fingerprinting or iris scans, behavorial biometrics can offer state-of-the-art solutions to identity management requirements as either a stand-alone system or part of a multi-biometric security system. Whilst there are many existing texts that focus on physiological biometrics or algorithmic approaches deployed in biometrics, Behavioral Biometrics addresses a gap in the existing literature for a text that is solely dedicated to the topic of behavioral biometrics. The author presents a thorough analysis of the latest research into well-known techniques such as signature verification and voice recognition, as well more recently developed and ground-breaking techniques including keyboard/ mouse dynamics, gait analysis, odour analysis and salinity testing, which are ever increasing in reliability; discusses exciting future trends that focus on the brain-computer interface using EEG technology and may one day enable human-machine interaction via brainwave patterns; describes the central applications for the technology within e-commerce and related industries, and provides a number of comprehensive case studies of major implementations that provide the user with a strong sense of the approaches employed in the various subdomains of behavioral biometrics. provides a comprehensive glossary of terms as well as a rich set of references and websites that enable the reader to explore and augment topics as required. Behavioral Biometrics will appeal to graduate and postgraduate students, as well as researchers wishing to explore this fascinating research topic, in areas of biometrics and computer science including classification algorithms, pattern recognition, artificial intelligence & security and digital forensics. In addition, it will serve as a reference for system integrators, CIOs, and related professionals who are charged with implementing security features at their organization.