Издательство InTech, 2011, -278 pp.
Biometrics uses methods for unique recognition of humans based upon one or more intrinsic physical or behavioral traits. In computer science, particularly, biometrics is used as a form of identity access management and access control. It is also used to identify individuals in groups that are under surveillance.
The key objective of the book is to provide comprehensive reference and text on human authentication and people identity verification from physiological, behavioural and other points of view (medical biometrics). It aims to publish new insights into current innovations in computer systems and technology for biometrics development and its applications.
The book consists of 13 chapters, each focusing on a certain aspect of the problem. The book chapters are divided into three sections: physical biometrics, behavioral biometrics and medical biometrics. In the first physical biometrics section, there are seven chapters. Chapter 1 provides an in?depth look at speaker recognition and address many practical and algorithmic issues related to the design and utilization of speaker recognition. In chapter 2 the author proposes some new algorithms for finger vein recognition such as using oriented filtering, template matching with relative distance and angle and wavelet moment fusing with PCA and LDA transform. In chapter 3 the author gives the recent advancements in the field of minutia?based fingerprint extraction and recognition. Chapter 4 provides a comprehensive idea about some of the well?known non?minutiae based descriptors during the last two decades and also proposes a novel non?minutiae based fingerprint descriptor with tessellated invariant moment features and Support Vector Machine (SVM). In chapter 5 the retina scanning technique is considered in detail throughout its historical evolution and try to use the birefringence of the retinal nerve fiber layer (RNFL) as a basis for successful identification. Chapter 6 proposes a fully?automatic authentication system using the retinal vessel tree patte as biometric characteristic. As the most reliable personal identification, DNA is intrinsically digital and does not change during a person’s life, and even after death. In chapter 7 the author proposes a method for generating a personal ID comprising short tandem repeat (STR) and single nucleotide polymorphism (SNP) information which are used in personal identification in forensic application.
In Section 2, two kinds of behavioral biometrics: keystroke dynamics and DWT domain on?line signature verification are introduced in chapter 8 and chapter 9 respectively. In section 3, medical biometrics constitutes another category of new biometric recognition modalities that encompasses signals which are typically used in clinical diagnostics, so chapter 10 gives a survey on heart biometrics with its theory, methods and applications. Chapter 11 proposes the usage of heart sounds for biometric recognition, describes the strengths and the weaknesses of the novel trait and analyzes in detail the methods developed so far and their performance. Chapter 12 investigates the temporal change in heartbeat intervals in a transition between different sound stimuli, since observing temporal change in heartbeat is important and contributes to improvement of exposure method of music and sound. In chapter 13 the author proposes the use of saliva protein profiling as a biometric tool to authenticate the presence of carcinoma among women.
Biometrics uses methods for unique recognition of humans based upon one or more intrinsic physical or behavioral traits. In computer science, particularly, biometrics is used as a form of identity access management and access control. It is also used to identify individuals in groups that are under surveillance.
The key objective of the book is to provide comprehensive reference and text on human authentication and people identity verification from physiological, behavioural and other points of view (medical biometrics). It aims to publish new insights into current innovations in computer systems and technology for biometrics development and its applications.
The book consists of 13 chapters, each focusing on a certain aspect of the problem. The book chapters are divided into three sections: physical biometrics, behavioral biometrics and medical biometrics. In the first physical biometrics section, there are seven chapters. Chapter 1 provides an in?depth look at speaker recognition and address many practical and algorithmic issues related to the design and utilization of speaker recognition. In chapter 2 the author proposes some new algorithms for finger vein recognition such as using oriented filtering, template matching with relative distance and angle and wavelet moment fusing with PCA and LDA transform. In chapter 3 the author gives the recent advancements in the field of minutia?based fingerprint extraction and recognition. Chapter 4 provides a comprehensive idea about some of the well?known non?minutiae based descriptors during the last two decades and also proposes a novel non?minutiae based fingerprint descriptor with tessellated invariant moment features and Support Vector Machine (SVM). In chapter 5 the retina scanning technique is considered in detail throughout its historical evolution and try to use the birefringence of the retinal nerve fiber layer (RNFL) as a basis for successful identification. Chapter 6 proposes a fully?automatic authentication system using the retinal vessel tree patte as biometric characteristic. As the most reliable personal identification, DNA is intrinsically digital and does not change during a person’s life, and even after death. In chapter 7 the author proposes a method for generating a personal ID comprising short tandem repeat (STR) and single nucleotide polymorphism (SNP) information which are used in personal identification in forensic application.
In Section 2, two kinds of behavioral biometrics: keystroke dynamics and DWT domain on?line signature verification are introduced in chapter 8 and chapter 9 respectively. In section 3, medical biometrics constitutes another category of new biometric recognition modalities that encompasses signals which are typically used in clinical diagnostics, so chapter 10 gives a survey on heart biometrics with its theory, methods and applications. Chapter 11 proposes the usage of heart sounds for biometric recognition, describes the strengths and the weaknesses of the novel trait and analyzes in detail the methods developed so far and their performance. Chapter 12 investigates the temporal change in heartbeat intervals in a transition between different sound stimuli, since observing temporal change in heartbeat is important and contributes to improvement of exposure method of music and sound. In chapter 13 the author proposes the use of saliva protein profiling as a biometric tool to authenticate the presence of carcinoma among women.