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Soft Computing for Recognition Based on Biometrics

2010-09-20 Computers
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Release : 2010-09-20
Genre : Computers
Kind : eBook
Book Rating : 108/5 ( reviews)

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Book Synopsis Soft Computing for Recognition Based on Biometrics by : Patricia Melin

Download or read book Soft Computing for Recognition Based on Biometrics written by Patricia Melin. This book was released on 2010-09-20. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Biometrics for Secure Human Authentication and Recognition

2013-12-09 Computers
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Release : 2013-12-09
Genre : Computers
Kind : eBook
Book Rating : 421/5 ( reviews)

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Book Synopsis Advances in Biometrics for Secure Human Authentication and Recognition by : Dakshina Ranjan Kisku

Download or read book Advances in Biometrics for Secure Human Authentication and Recognition written by Dakshina Ranjan Kisku. This book was released on 2013-12-09. Available in PDF, EPUB and Kindle. Book 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.

Deep Learning for Biometrics

2017-08-01 Computers
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Release : 2017-08-01
Genre : Computers
Kind : eBook
Book Rating : 579/5 ( reviews)

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Book Synopsis Deep Learning for Biometrics by : Bir Bhanu

Download or read book Deep Learning for Biometrics written by Bir Bhanu. This book was released on 2017-08-01. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Machine Learning for Biometrics

2022-01-21 Computers
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Release : 2022-01-21
Genre : Computers
Kind : eBook
Book Rating : 398/5 ( reviews)

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Book Synopsis Machine Learning for Biometrics by : Partha Pratim Sarangi

Download or read book Machine Learning for Biometrics written by Partha Pratim Sarangi. This book was released on 2022-01-21. Available in PDF, EPUB and Kindle. Book excerpt: 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

Computer Recognition Systems 4

2011-04-21 Technology & Engineering
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Release : 2011-04-21
Genre : Technology & Engineering
Kind : eBook
Book Rating : 205/5 ( reviews)

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Book Synopsis Computer Recognition Systems 4 by : Robert Burduk

Download or read book Computer Recognition Systems 4 written by Robert Burduk. This book was released on 2011-04-21. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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