Unimodal and Multimodal Biometric Data Indexing Book

Unimodal and Multimodal Biometric Data Indexing


  • Author : Somnath Dey
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release Date : 2015-01-20
  • Genre: Technology & Engineering
  • Pages : 357
  • ISBN 10 : 9781614516293

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Unimodal and Multimodal Biometric Data Indexing Excerpt :

This work is on biometric data indexing for large-scale identification systems with a focus on different biometrics data indexing methods. It provides state-of-the-art coverage including different biometric traits, together with the pros and cons for each. Discussion of different multimodal fusion strategies are also included.

Design of Multimodal Mobile Interfaces Book

Design of Multimodal Mobile Interfaces


  • Author : Nava Shaked
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release Date : 2016-04-25
  • Genre: Technology & Engineering
  • Pages : 239
  • ISBN 10 : 9781501502736

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Design of Multimodal Mobile Interfaces Excerpt :

The “smart mobile” has become an essential and inseparable part of our lives. This powerful tool enables us to perform multi-tasks in different modalities of voice, text, gesture, etc. The user plays an important role in the mode of operation, so multimodal interaction provides the user with new complex multiple modalities of interfacing with a system, such as speech, touch, type and more. The book will discuss the new world of mobile multimodality, focusing on innovative technologies and design which create a state-of-the-art user interface. It will examine the practical challenges entailed in meeting commercial deployment goals, and offer new approaches to the designing such interfaces. A multimodal interface for mobile devices requires the integration of several recognition technologies together with sophisticated user interface and distinct tools for input and output of data. The book will address the challenge of designing devices in a synergetic fashion which does not burden the user or to create a technological overload.

Soft Computing and Signal Processing Book

Soft Computing and Signal Processing


  • Author : Jiacun Wang
  • Publisher : Springer
  • Release Date : 2019-02-13
  • Genre: Technology & Engineering
  • Pages : 783
  • ISBN 10 : 9789811333934

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Soft Computing and Signal Processing Excerpt :

The book includes research papers on current developments in the field of soft computing and signal processing, selected from papers presented at the International Conference on Soft Computing and Signal Processing (ICSCSP 2018). It features papers on current topics, such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning. It also discusses various aspects of these topics, like technologies, product implementation, and application issues.

Encyclopedia of Information Science and Technology Book

Encyclopedia of Information Science and Technology


  • Author : Mehdi Khosrow-Pour
  • Publisher : IGI Global Snippet
  • Release Date : 2009
  • Genre: Computers
  • Pages : 523
  • ISBN 10 : 1605660264

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Encyclopedia of Information Science and Technology Excerpt :

"This set of books represents a detailed compendium of authoritative, research-based entries that define the contemporary state of knowledge on technology"--Provided by publisher.

Multimodal Biometrics and Intelligent Image Processing for Security Systems Book

Multimodal Biometrics and Intelligent Image Processing for Security Systems


  • Author : Marina L. Gavrilova
  • Publisher : IGI Global
  • Release Date : 2013-03-31
  • Genre: Law
  • Pages : 326
  • ISBN 10 : 9781466636477

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Multimodal Biometrics and Intelligent Image Processing for Security Systems Excerpt :

"This book provides an in-depth description of existing and fresh fusion approaches for multimodal biometric systems, covering relevant topics affecting the security and intelligent industries"--Provided by publisher.

Handbook of Digital Human Modeling Book

Handbook of Digital Human Modeling


  • Author : Vincent G. Duffy
  • Publisher : CRC Press
  • Release Date : 2016-04-19
  • Genre: Technology & Engineering
  • Pages : 1006
  • ISBN 10 : 9781420063523

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Handbook of Digital Human Modeling Excerpt :

The rapid introduction of sophisticated computers, services, telecommunications systems, and manufacturing systems has caused a major shift in the way people use and work with technology. It is not surprising that computer-aided modeling has emerged as a promising method for ensuring products meet the requirements of the consumer. The Handbook of Digital Human Modeling provides comprehensive coverage of the theory, tools, and methods to effectively achieve this objective. The 56 chapters in this book, written by 113 contributing authorities from Canada, China, France, Germany, the Netherlands, Poland, Sweden, Taiwan, UK, and the US, provide a wealth of international knowledge and guidelines. They cover applications in advanced manufacturing, aerospace, automotive, data visualization and simulation, defense and military systems, design for impaired mobility, healthcare and medicine, information systems, and product design. The text elucidates tools to help evaluate product and work design while reducing the need for physical prototyping. Additional software and demonstration materials on the CRC Press web site include a never-before-released 220-page step-by-step UGS-Siemens JackTM help manual developed at Purdue University. The current gap between capability to correctly predict outcomes and set expectation for new and existing products and processes affects human-system performance, market acceptance, product safety, and satisfaction at work. The handbook provides the fundamental concepts and tools for digital human modeling and simulation with a focus on its foundations in human factors and ergonomics. The tools identified and made available in this handbook help reduce the need for physical prototyping. They enable engineers to quantify acceptability and risk in design in terms of the human factors and ergonomics.

Advances in Biometric Person Authentication Book

Advances in Biometric Person Authentication


  • Author : Stan Z. Li
  • Publisher : Springer Science & Business Media
  • Release Date : 2004-11-29
  • Genre: Business & Economics
  • Pages : 699
  • ISBN 10 : 9783540240297

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Advances in Biometric Person Authentication Excerpt :

This book constitutes the refereed proceedings of the 5th Chinese Conference on Biometric Recognition, SINOBIOMETRICS 2004, held in Guanzhou, China in December 2004. The 60 revised full papers presented together with 14 invited papers by internationally leading researchers were carefully reviewed and selected from 140 submissions. The papers are organized in topical sections on biometrics, best performing biometric engines, face localization, pose estimation, face recognition, 3D based methods, subspace and discriminant analysis, systems and applications, fingerprint preprocessing and minutiae extraction, fingerprint recognition and matching, fingerprint classificaiton, iris recognition, speaker recognition, and other biometric primitives.

AI and Deep Learning in Biometric Security Book

AI and Deep Learning in Biometric Security


  • Author : Gaurav Jaswal
  • Publisher : CRC Press
  • Release Date : 2021-03-21
  • Genre: Computers
  • Pages : 378
  • ISBN 10 : 9781000291629

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AI and Deep Learning in Biometric Security Excerpt :

This book provides an in-depth overview of artificial intelligence and deep learning approaches with case studies to solve problems associated with biometric security such as authentication, indexing, template protection, spoofing attack detection, ROI detection, gender classification etc. This text highlights a showcase of cutting-edge research on the use of convolution neural networks, autoencoders, recurrent convolutional neural networks in face, hand, iris, gait, fingerprint, vein, and medical biometric traits. It also provides a step-by-step guide to understanding deep learning concepts for biometrics authentication approaches and presents an analysis of biometric images under various environmental conditions. This book is sure to catch the attention of scholars, researchers, practitioners, and technology aspirants who are willing to research in the field of AI and biometric security.

New Trends in Computational Vision and Bio inspired Computing Book

New Trends in Computational Vision and Bio inspired Computing


  • Author : S. Smys
  • Publisher : Springer Nature
  • Release Date : 2020-09-27
  • Genre: Computers
  • Pages : 1726
  • ISBN 10 : 9783030418625

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New Trends in Computational Vision and Bio inspired Computing Excerpt :

This volume gathers selected, peer-reviewed original contributions presented at the International Conference on Computational Vision and Bio-inspired Computing (ICCVBIC) conference which was held in Coimbatore, India, on November 29-30, 2018. The works included here offer a rich and diverse sampling of recent developments in the fields of Computational Vision, Fuzzy, Image Processing and Bio-inspired Computing. The topics covered include computer vision; cryptography and digital privacy; machine learning and artificial neural networks; genetic algorithms and computational intelligence; the Internet of Things; and biometric systems, to name but a few. The applications discussed range from security, healthcare and epidemic control to urban computing, agriculture and robotics. In this book, researchers, graduate students and professionals will find innovative solutions to real-world problems in industry and society as a whole, together with inspirations for further research.

Automatic Fingerprint Recognition Systems Book
Score: 4
From 1 Ratings

Automatic Fingerprint Recognition Systems


  • Author : Nalini Ratha
  • Publisher : Springer Science & Business Media
  • Release Date : 2007-05-08
  • Genre: Computers
  • Pages : 458
  • ISBN 10 : 9780387216850

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Automatic Fingerprint Recognition Systems Excerpt :

An authoritative survey of intelligent fingerprint-recognition concepts, technology, and systems is given. Editors and contributors are the leading researchers and applied R&D developers of this personal identification (biometric security) topic and technology. Biometrics and pattern recognition researchers and professionals will find the book an indispensable resource for current knowledge and technology in the field.

Advances in Soft Computing and Machine Learning in Image Processing Book

Advances in Soft Computing and Machine Learning in Image Processing


  • Author : Aboul Ella Hassanien
  • Publisher : Springer
  • Release Date : 2017-10-13
  • Genre: Technology & Engineering
  • Pages : 718
  • ISBN 10 : 9783319637549

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Advances in Soft Computing and Machine Learning in Image Processing Excerpt :

This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing. The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.

Advances in Biometrics for Secure Human Authentication and Recognition Book

Advances in Biometrics for Secure Human Authentication and Recognition


  • Author : Dakshina Ranjan Kisku
  • Publisher : CRC Press
  • Release Date : 2013-12-09
  • Genre: Computers
  • Pages : 352
  • ISBN 10 : 9781466582439

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Advances in Biometrics for Secure Human Authentication and Recognition Excerpt :

Although biometric systems present powerful alternatives to traditional authentication schemes, there are still many concerns about their security. Advances in Biometrics for Secure Human Authentication and Recognition showcases some of the latest technologies and algorithms being used for human authentication and recognition. Examining the full range of biometrics solutions, including unimodal and multimodal biometrics, the book covers conventional techniques as well as novel systems that have been developed over the past few years. It presents new biometric algorithms with novel feature extraction techniques, new computer vision approaches, soft computing approaches, and machine learning techniques under a unified framework used in biometrics systems. Filled with comprehensive graphical and modular illustrations, the text covers applications of affective computing in biometrics, matching sketch to photograph, cryptography approaches in biometrics, biometrics alteration, heterogeneous biometrics, and age invariant biometrics. It also presents biometrics algorithms with novel feature extraction techniques, computer vision approaches, soft computing approaches, and machine learning techniques under a unified framework used in biometrics systems. Containing the work of some of the world’s most respected biometrics researchers, the book includes model question papers, mathematical notations, and exercises to reinforce understanding. Providing an up-to-date review of intelligence techniques and theories used in biometric technologies for secure human authentication and identification, this is an essential reference for researchers, scholars, graduate students, engineers, practitioners, and developers in the field of biometrics and its related fields.

Multibiometric Systems Book

Multibiometric Systems


  • Author : Karthik Nandakumar
  • Publisher : Unknown
  • Release Date : 2008
  • Genre: Biometric identification
  • Pages : 456
  • ISBN 10 : MSU:31293029565789

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Multibiometric Systems Excerpt :

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.

Iris Biometrics Book

Iris Biometrics


  • Author : Christian Rathgeb
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-11-08
  • Genre: Computers
  • Pages : 358
  • ISBN 10 : 9781461455714

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Iris Biometrics Excerpt :

Iris Biometrics: From Segmentation to Template Security provides critical analysis, challenges and solutions on recent iris biometric research topics, including image segmentation, image compression, watermarking, advanced comparators, template protection and more. Open source software is also provided on a dedicated website which includes feature extraction, segmentation and matching schemes applied in this book to foster scientific exchange. Current state-of-the-art approaches accompanied by comprehensive experimental evaluations are presented as well. This book has been designed as a secondary text book or reference for researchers and advanced-level students in computer science and electrical engineering. Professionals working in this related field will also find this book useful as a reference.

Machine Learning and Biometrics Book

Machine Learning and Biometrics


  • Author : Jucheng Yang
  • Publisher : BoD – Books on Demand
  • Release Date : 2018-08-29
  • Genre: Computers
  • Pages : 146
  • ISBN 10 : 9781789235906

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Machine Learning and Biometrics Excerpt :

We are entering the era of big data, and machine learning can be used to analyze this deluge of data automatically. Machine learning has been used to solve many interesting and often difficult real-world problems, and the biometrics is one of the leading applications of machine learning. This book introduces some new techniques on biometrics and machine learning, and new proposals of using machine learning techniques for biometrics as well. This book consists of two parts: "Biometrics" and "Machine Learning for Biometrics." Parts I and II contain four and three chapters, respectively. The book is reviewed by editors: Prof. Jucheng Yang, Prof. Dong Sun Park, Prof. Sook Yoon, Dr. Yarui Chen, and Dr. Chuanlei Zhang.