Ajay Kumar

David Zhang

The past decade has seen tremendous growth in the demand for biometrics and data security technologies in applications ranging from law enforcement and immigration control to online security. The benefits of biometrics technologies are apparent as they become important technologies for information security of governments, business enterprises, and individuals. At the same time, however, the use of biometrics has raised concerns as to issues of ethics, privacy, and the policy implications of its wi- spread use. The large-scale deployment of biometrics technologies in e-governance, e-security, and e-commerce has required that we launch an international dialogue on these issues, a dialogue that must involve key stakeholders and that must consider the legal, poli- cal, philosophical and cultural aspects of the deployment of biometrics technologies. The Third International Conference on Ethics and Policy of Biometrics and Inter- tional Data Sharing was highly successful in facilitating such interaction among - searchers, policymakers, consumers, and privacy groups. This conference was supported and funded as part of the RISE project in its ongoing effort to develop wide consensus and policy recommendations on ethical, medical, legal, social, cultural, and political concerns in the usage of biometrics and data security technologies. The - tential concerns over the deployment of biometrics systems can be jointly addressed by developing smart biometrics technologies and by developing policies for the - ployment of biometrics technologies that clearly demarcate conflicts of interest - tween stakeholders.

Third International Conference on Ethics and Policy of Biometrics and International Data Sharing, Hong Kong, January 4-5, 2010

Ethics and Policy of Biometrics

Qijun Zhao

Bob Zhang

What features or information can we observe from a face, and how can these information help us to understand the person concerned, in terms of their well-being and what can we learn about and from each given feature? This book answers these questions by first dividing a face's multiple characteristics into two main categories: original (or physiological) features and features that change over a lifetime. The first category, original features, may be further divided into two sub-classes: features special (or unique) to an individual, and features common to a particular group. The second, changed features, can also be subdivided into two groups: features altered due to disease or features altered by other external factors. From these four sub-categories, four different applications — facial identification using original and special features; beauty analysis using original common features; facial diagnosis by disease changed features; and expression recognition through affect-changed features — are identified.The book will benefit researchers, professionals, and graduate students working in the field of computer vision, pattern recognition, security/clinical practice, and beauty analysis, and will also be useful for interdisciplinary research.

Facial Multi-characteristics And Applications

Wangmeng Zuo

Naimin Li

The introduction of traditional Chinese medicine (TCM) through modern information technology will not only achieve the objective progress of the heritage of thousands of years of TCM, but also deliver novel discoveries for modern medicines. This book is an advanced monograph based on a decade's worth of research work by the authors. After a brief introduction on the four diagnosis approaches in TCM, this book delves into the three main TCM data analysis techniques: computerized tongue, pulse and odor analysis. Both graduate students and researchers in computerized TCM data analysis will benefit from the book as it will provide a comprehensive understanding of the state-of-the-art analysis methods, image / signal acquisition devices, and the related feature extraction and classification methods. Contents:Diagnosis Methods in Traditional Chinese Medicine:IntroductionComputerized Tongue Image Analysis:Tongue Image Acquisition and PreprocessingAutomated Tongue SegmentationTongue Image Feature AnalysisComputerized Tongue DiagnosisComputerized Pulse Signal Analysis:Pulse Signal Acquisition and PreprocessingFeature Extraction of Pulse SignalsClassification of Pulse SignalsComputerized Odor Signal Analysis:Breath Analysis System: Design and OptimizationFeature Extraction and Classification of Breath Odor Signals Readership: Students and researchers from both academia and industry: in the field of computerized traditional Chinese medicine data analysis, or in the related fields, e.g., medical image/signal analysis, biometrics, and pattern recognition. Key Features:The first monograph on computerized traditional Chinese medicine data analysis (CTDA)In-depth and self-contained introduction on CTDAComprehensive presentation on three main CTDA technologies

Computerized TCM Data Analysis

Medical Biometrics

This volume constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Ethics and Policy of Biometrics and International Data Sharing, ICEB 2010, held in Hong Kong, during January 4-5, 2010. The 25 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on Privacy Protection and Challenges, Legal Challenges, Engineering and Social Challenges, Ethical and Medical Concerns, Policy Issues and Deployments in Asia, Challenges in Large Scale Biometrics Identification.

Yong Xu

This monograph describes the latest advances in discriminative learning methods for biometric recognition. Specifically, it focuses on three representative categories of methods: sparse representation-based classification, metric learning, and discriminative feature representation, together with their applications in palmprint authentication, face recognition and multi-biometrics. The ideas, algorithms, experimental evaluation and underlying rationales are also provided for a better understanding of these methods. Lastly, it discusses several promising research directions in the field of discriminative biometric recognition.

Discriminative Learning in Biometrics

Sankar K. Pal

Neural networks (NNs) and systolic arrays (SAs) have many similar features. This volume describes, in a unified way, the basic concepts, theories and characteristic features of integrating or formulating different facets of NNs and SAs, as well as presents recent developments and significant applications. The articles, written by experts from all over the world, demonstrate the various ways this integration can be made to efficiently design methodologies, algorithms and architectures, and also implementations, for NN applications. The book will be useful to graduate students and researchers in many related areas, not only as a reference book but also as a textbook for some parts of the curriculum. It will also benefit researchers and practitioners in industry and R&D laboratories who are working in the fields of system design, VLSI, parallel processing, neural networks, and vision.

Neural Networks and Systolic Array Design

Milan Sonka

The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNCS has grown into the most comprehensive computer science research forum available. The scope of LNCS, including its subseris LNAI and LNBI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. In parallel to the printed book, each new volume is published electronically in LNCS Online.

Second International Conference, ICMB 2010, Hong Kong, China, June 28-30, 2010. Proceedings

Kebin Wu

While voice is widely used in speech recognition and speaker identification, its application in biomedical fields is much less common. This book systematically introduces the authors’ research on voice analysis for biomedical applications, particularly pathological voice analysis. Firstly, it reviews the field to highlight the biomedical value of voice. It then offers a comprehensive overview of the workflow and aspects of pathological voice analysis, including voice acquisition systems, voice pitch estimation methods, glottal closure instant detection, feature extraction and learning, and the multi-audio fusion approaches. Lastly, it discusses the experimental results that have shown the superiority of these techniques. This book is useful to researchers, professionals and postgraduate students working in fields such as speech signal processing, pattern recognition, and biomedical engineering. It is also a valuable resource for those involved in interdisciplinary research.

Pathological Voice Analysis

Dongmin Guo

Ke Yan

This book describes breath signal processing technologies and their applications in medical sample classification and diagnosis. First, it provides a comprehensive introduction to breath signal acquisition methods, based on different kinds of chemical sensors, together with the optimized selection and fusion acquisition scheme. It then presents preprocessing techniques, such as drift removing and feature extraction methods, and uses case studies to explore the classification methods. Lastly it discusses promising research directions and potential medical applications of computerized breath diagnosis. It is a valuable interdisciplinary resource for researchers, professionals and postgraduate students working in various fields, including breath diagnosis, signal processing, pattern recognition, and biometrics.

Breath Analysis for Medical Applications

Lei Zhang

Fengchun Tian

This book presents the key technology of electronic noses, and systematically describes how e-noses can be used to automatically analyse odours. Appealing to readers from the fields of artificial intelligence, computer science, electrical engineering, electronics, and instrumentation science, it addresses three main areas: First, readers will learn how to apply machine learning, pattern recognition and signal processing algorithms to real perception tasks. Second, they will be shown how to make their algorithms match their systems once the algorithms don’t work because of the limitation of hardware resources. Third, readers will learn how to make schemes and solutions when the acquired data from their systems is not stable due to the fundamental issues affecting perceptron devices (e.g. sensors). In brief, the book presents and discusses the key technologies and new algorithmic challenges in electronic noses and artificial olfaction. The goal is to promote the industrial application of electronic nose technology in environmental detection, medical diagnosis, food quality control, explosive detection, etc. and to highlight the scientific advances in artificial olfaction and artificial intelligence. The book offers a good reference guide for newcomers to the topic of electronic noses, because it refers to the basic principles and algorithms. At the same time, it clearly presents the key challenges – such as long-term drift, signal uniqueness, and disturbance – and effective and efficient solutions, making it equally valuable for researchers engaged in the science and engineering of sensors, instruments, chemometrics, etc.

Electronic Nose: Algorithmic Challenges

Fangmei Chen

This book covers the key advances in computerized facial beauty analysis, with an emphasis on data-driven research and the results of quantitative experiments. It takes a big step toward practical facial beauty analysis, proposes more reliable and stable facial features for beauty analysis and designs new models, methods, algorithms and schemes while implementing a facial beauty analysis and beautification system. This book also tests some previous putative rules and models for facial beauty analysis by using computationally efficient mathematical models and algorithms, especially large scale database-based and repeatable experiments.The first section of this book provides an overview of facial beauty analysis. The base of facial beauty analysis, i.e., facial beauty features, is presented in part two. Part three describes hypotheses on facial beauty, while part four defines data-driven facial beauty analysis models. This book concludes with the authors explaining how to implement their new facial beauty analysis system.This book is designed for researchers, professionals and post graduate students working in the field of facial beauty analysis, computer vision, human-machine interface, pattern recognition and biometrics. Those involved in interdisciplinary fields with also find the contents useful. The ideas, means and conclusions for beauty analysis are valuable for researchers and the system design and implementation can be used as models for practitioners and engineers.

Computer Models for Facial Beauty Analysis

Anil K. Jain

This book constitutes the refereed proceedings of the First International Conference on Biometric Authentication, ICBA 2004, held in Hong Kong, China in July 2004. The 104 revised full papers presented were carefully reviewed and selected from 157 submissions; also included are summaries of 3 biometric competitions on fingerprint verification, face authentication, and signature verification. The papers are organized in topical sections on face, fingerprint, iris, signature, speech, biometric fusion and risk analysis, and other biometric issues.

First International Conference, ICBA 2004, Hong Kong, China, July 15-17, 2004, Proceedings

Biometric Authentication

Guangming Lu

This book describes a range of new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris technologies. Further, it introduces readers to efficient feature extraction, matching and fusion algorithms, in addition to developing potential systems of its own. These advanced biometric technologies and methods are divided as follows: 1. High-Resolution Fingerprint Recognition; 2. Finger-Knuckle-Print Verification; 3. Other Hand-Based Biometrics; and 4. New Head-Based Biometrics. Traditional biometric technologies, such as fingerprint, face, iris, and palmprint, have been extensively studied and addressed in many research books. However, all of these technologies have their own advantages and disadvantages, and there is no single type of biometric technology that can be used for all applications. Many new biometric technologies have been developed in recent years, especia lly in response to new applications. The contributions gathered here focus on how to develop a new biometric technology based on the requirements of essential applications, and how to design efficient algorithms that yield better performance.

Advanced Biometrics

B. Uma Shankar

Kuntal Ghosh

Deba Prasad Mandal

Shubhra Sankar Ray

This book constitutes the proceedings of the 7th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2017,held in Kolkata, India, in December 2017. The total of 86 full papers presented in this volume were carefully reviewed and selected from 293 submissions. They were organized in topical sections named: pattern recognition and machine learning; signal and image processing; computer vision and video processing; soft and natural computing; speech and natural language processing; bioinformatics and computational biology; data mining and big data analytics; deep learning; spatial data science and engineering; and applications of pattern recognition and machine intelligence.

David Zhang

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