Soft Computing For Recognition Based On Biometrics
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Soft Computing For Recognition Based On Biometrics
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Author : Patricia Melin
language : en
Publisher: Springer
Release Date : 2010-09-30
Soft Computing For Recognition Based On Biometrics written by Patricia Melin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-30 with Technology & Engineering categories.
We describe in this book, bio-inspired models and applications of hybrid intel- gent systems using soft computing techniques for image analysis and pattern r- ognition based on biometrics and other information sources. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of classification methods and applications, which are basically papers that propose new models for classification to solve general pr- lems and applications. The second part contains papers with the main theme of modular neural networks in pattern recognition, which are basically papers using bio-inspired techniques, like modular neural networks, for achieving pattern r- ognition based on biometric measures. The third part contains papers with the theme of bio-inspired optimization methods and applications to diverse problems. The fourth part contains papers that deal with general theory and algorithms of bio-inspired methods, like neural networks and evolutionary algorithms. The fifth part contains papers on computer vision applications of soft computing methods. In the part of classification methods and applications there are 5 papers that - scribe different contributions on fuzzy logic and bio-inspired models with appli- tion in classification for medical images and other data.
Soft Computing For Recognition Based On Biometrics
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Author :
language : en
Publisher:
Release Date : 2011-04-11
Soft Computing For Recognition Based On Biometrics written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-11 with categories.
Advances In Biometrics For Secure Human Authentication And Recognition
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Author : Dakshina Ranjan Kisku
language : en
Publisher: CRC Press
Release Date : 2013-12-09
Advances In Biometrics For Secure Human Authentication And Recognition written by Dakshina Ranjan Kisku and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-09 with Computers categories.
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.
Machine Learning For Biometrics
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Author : Partha Pratim Sarangi
language : en
Publisher: Academic Press
Release Date : 2022-01-21
Machine Learning For Biometrics written by Partha Pratim Sarangi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-21 with Computers categories.
Machine Learning for Biometrics: Concepts, Algorithms and Applications highlights the fundamental concepts of machine learning, processing and analyzing data from biometrics and provides a review of intelligent and cognitive learning tools which can be adopted in this direction. Each chapter of the volume is supported by real-life case studies, illustrative examples and video demonstrations. The book elucidates various biometric concepts, algorithms and applications with machine intelligence solutions, providing guidance on best practices for new technologies such as e-health solutions, Data science, Cloud computing, and Internet of Things, etc. In each section, different machine learning concepts and algorithms are used, such as different object detection techniques, image enhancement techniques, both global and local feature extraction techniques, and classifiers those are commonly used data science techniques. These biometrics techniques can be used as tools in Cloud computing, Mobile computing, IOT based applications, and e-health care systems for secure login, device access control, personal recognition and surveillance. Covers different machine intelligence concepts, algorithms and applications in the field of cybersecurity, e-health monitoring, secure cloud computing and secure IOT based operations Explores advanced approaches to improve recognition performance of biometric systems with the use of recent machine intelligence techniques Introduces detection or segmentation techniques to detect biometric characteristics from the background in the input sample
Intelligent Systems
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Author : Chiranji Lal Chowdhary
language : en
Publisher: CRC Press
Release Date : 2020-01-06
Intelligent Systems written by Chiranji Lal Chowdhary and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-06 with Business & Economics categories.
This volume helps to fill the gap between data analytics, image processing, and soft computing practices. Soft computing methods are used to focus on data analytics and image processing to develop good intelligent systems. To this end, readers of this volume will find quality research that presents the current trends, advanced methods, and hybridized techniques relating to data analytics and intelligent systems. The book also features case studies related to medical diagnosis with the use of image processing and soft computing algorithms in particular models. Providing extensive coverage of biometric systems, soft computing, image processing, artificial intelligence, and data analytics, the chapter authors discuss the latest research issues, present solutions to research problems, and look at comparative analysis with earlier results. Topics include some of the most important challenges and discoveries in intelligent systems today, such as computer vision concepts and image identification, data analysis and computational paradigms, deep learning techniques, face and speaker recognition systems, and more.
Soft Computing For Recognition Based On Biometrics
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Author : Patricia Melin
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-20
Soft Computing For Recognition Based On Biometrics written by Patricia Melin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-20 with Computers categories.
This book describes bio-inspired models and applications of hybrid intelligent systems using soft computing techniques for image analysis and pattern recognition based on biometrics and other sources. Each section groups papers on a similar subject.
Deep Learning For Biometrics
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Author : Bir Bhanu
language : en
Publisher: Springer
Release Date : 2017-08-01
Deep Learning For Biometrics written by Bir Bhanu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-01 with Computers categories.
This timely text/reference presents a broad overview of advanced deep learning architectures for learning effective feature representation for perceptual and biometrics-related tasks. The text offers a showcase of cutting-edge research on the use of convolutional neural networks (CNN) in face, iris, fingerprint, and vascular biometric systems, in addition to surveillance systems that use soft biometrics. Issues of biometrics security are also examined. Topics and features: addresses the application of deep learning to enhance the performance of biometrics identification across a wide range of different biometrics modalities; revisits deep learning for face biometrics, offering insights from neuroimaging, and provides comparison with popular CNN-based architectures for face recognition; examines deep learning for state-of-the-art latent fingerprint and finger-vein recognition, as well as iris recognition; discusses deep learning for soft biometrics, including approaches for gesture-based identification, gender classification, and tattoo recognition; investigates deep learning for biometrics security, covering biometrics template protection methods, and liveness detection to protect against fake biometrics samples; presents contributions from a global selection of pre-eminent experts in the field representing academia, industry and government laboratories. Providing both an accessible introduction to the practical applications of deep learning in biometrics, and a comprehensive coverage of the entire spectrum of biometric modalities, this authoritative volume will be of great interest to all researchers, practitioners and students involved in related areas of computer vision, pattern recognition and machine learning.
Intelligent System For Face Recognition Using Soft Computing
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Author : R. Vinodini
language : en
Publisher: A.K. Publications
Release Date : 2022-12-22
Intelligent System For Face Recognition Using Soft Computing written by R. Vinodini and has been published by A.K. Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-22 with Computers categories.
In Our daily life Vision plays a very important role to understand the universe in every aspect. The vision system of our body takes care of taking the information about objects to the brain and recognizes them through the training by the neural system. For this operation the complex design of the body does with very little effort. This creates a advanced feedback and response method between the world and humans. The human vision system has led inventors and engineers to build devices which can visualize like people, analyze and do decision making. The so called Artifical intelligence do more than a normal human do. This helped people to build devices and machines which can make life easier and do difficult tasks easily. The security systems in banking etc were moved from password based security to image processing method. The human machine interface needs the human face recognition system for operation. For security and image processing applications the face detection is the major block which does the main role. In biometric systems the research is focused mainly on the detection of face from a camera image and should be recognized, In crime investigations the process is difficult since the face to be detected and recognized is from a camera which records a video from which the face has to be detected using frame analyzes. The process becomes complex if the image is captured in a bad light or worst climatic conditions. So the design of methods becomes more interesting that verifies the presence of faces from dim or worst images. To overcome the problems this research is focused on new methodologies which can detect and recognize faces. Consider a system which does the pattern-recognition based on the face detection which detects the face and recognizes the face based on the feature vectors of the behavioral or physiological characteristics. The most secure way of accessing banking process is authenticated using biometrics. Since the individual verification is done using a physical and unique biometric characteristic, the conventional passwords or PINs based accessibility frauds can be reduced on corporate computer networks and the Internet because they can be guessed or stolen. Plastic cards, smart cards or computer token cards by themselves are also not secure because they can be forged, stolen or lost, or can become corrupt or unreadable. Biometric methods for identification can be widely adapted to forensics, ATM banking, time and attendance recording, access control and many other applications. The face recognition provides multiple benefits passively over the other methods. But the past methods voluntary action has the disadvantages of being tough to use as well as non adaptable for covert use as in surveillance applications. Human operators are prone to errors during Face image audit and verification during logging biometrics records. Good face images are easier to acquire than good fingerprints. About 5% of people cannot provide a fingerprint for verification. The reasons may be due to dry skin, diseased skin, old skin, cut skin, callused finger, oriental skin, bandaged finger, narrow finger, smudged sensor on reader.
The Biometric Computing
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Author : Karm Veer Arya
language : en
Publisher: CRC Press
Release Date : 2019-11-05
The Biometric Computing written by Karm Veer Arya and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-05 with Computers categories.
"The Biometric Computing: Recognition & Registration" presents introduction of biometrics along with detailed analysis for identification and recognition methods. This book forms the required platform for understanding biometric computing and its implementation for securing target system. It also provides the comprehensive analysis on algorithms, architectures and interdisciplinary connection of biometric computing along with detailed case-studies for newborns and resolution spaces. The strength of this book is its unique approach starting with how biometric computing works to research paradigms and gradually moves towards its advancement. This book is divided into three parts that comprises basic fundamentals and definitions, algorithms and methodologies, and futuristic research and case studies. Features: A clear view to the fundamentals of Biometric Computing Identification and recognition approach for different human characteristics Different methodologies and algorithms for human identification using biometrics traits such as face, Iris, fingerprint, palm print, voiceprint etc. Interdisciplinary connection of biometric computing with the fields like deep neural network, artificial intelligence, Internet of Biometric Things, low resolution face recognition etc. This book is an edited volume by prominent invited researchers and practitioners around the globe in the field of biometrics, describes the fundamental and recent advancement in biometric recognition and registration. This book is a perfect research handbook for young practitioners who are intending to carry out their research in the field of Biometric Computing and will be used by industry professionals, graduate and researcher students in the field of computer science and engineering.
Computer Recognition Systems 4
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Author : Robert Burduk
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-04-21
Computer Recognition Systems 4 written by Robert Burduk and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-21 with Technology & Engineering categories.
The computer recognition systems are nowadays one of the most promising directions in artificial intelligence. This book is the most comprehensive study of this field. It contains a collection of 78 carefully selected articles contributed by experts of pattern recognition. It reports on current research with respect to both methodology and applications. In particular, it includes the following sections: Biometrics, Features, learning and classifiers, Image processing and computer vision, Knowledge acquisition based on reasoning methods Medical applications, Miscellaneous applications, This book is a great reference tool for scientists who deal with the problems of designing computer pattern recognition systems. Its target readers can be as well researchers as students of computer science, artificial intelligence or robotics.