Pattern Recognition Machine Intelligence And Biometrics

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Pattern Recognition, Machine Intelligence and Biometrics

Author : Patrick S. P. Wang
Publisher : Springer Science & Business Media
Page : 866 pages
File Size : 41,5 Mb
Release : 2012-02-13
Category : Computers
ISBN : 9783642224072

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Pattern Recognition, Machine Intelligence and Biometrics by Patrick S. P. Wang Pdf

"Pattern Recognition, Machine Intelligence and Biometrics" covers the most recent developments in Pattern Recognition and its applications, using artificial intelligence technologies within an increasingly critical field. It covers topics such as: image analysis and fingerprint recognition; facial expressions and emotions; handwriting and signatures; iris recognition; hand-palm gestures; and multimodal based research. The applications span many fields, from engineering, scientific studies and experiments, to biomedical and diagnostic applications, to personal identification and homeland security. In addition, computer modeling and simulations of human behaviors are addressed in this collection of 31 chapters by top-ranked professionals from all over the world in the field of PR/AI/Biometrics. The book is intended for researchers and graduate students in Computer and Information Science, and in Communication and Control Engineering. Dr. Patrick S. P. Wang is a Professor Emeritus at the College of Computer and Information Science, Northeastern University, USA, Zijiang Chair of ECNU, Shanghai, and NSC Visiting Chair Professor of NTUST, Taipei.

Image Pattern Recognition

Author : Svetlana N. Yanushkevich,Mark S. Nixon
Publisher : World Scientific
Page : 453 pages
File Size : 53,7 Mb
Release : 2007
Category : Computers
ISBN : 9789812770677

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Image Pattern Recognition by Svetlana N. Yanushkevich,Mark S. Nixon Pdf

The field of biometrics utilizes computer models of the physical and behavioral characteristics of human beings with a view to reliable personal identification. The human characteristics of interest include visual images, speech, and indeed anything which might help to uniquely identify the individual. The other side of the biometrics coin is biometric synthesis OCo rendering biometric phenomena from their corresponding computer models. For example, we could generate a synthetic face from its corresponding computer model. Such a model could include muscular dynamics to model the full gamut of human emotions conveyed by facial expressions. This book is a collection of carefully selected papers presenting the fundamental theory and practice of various aspects of biometric data processing in the context of pattern recognition. The traditional task of biometric technologies OCo human identification by analysis of biometric. data OCo is extended to include the new discipline of biometric synthesis."

Deep Learning in Biometrics

Author : Mayank Vatsa,Richa Singh,Angshul Majumdar
Publisher : CRC Press
Page : 316 pages
File Size : 49,9 Mb
Release : 2018-03-05
Category : Computers
ISBN : 9781351264990

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Deep Learning in Biometrics by Mayank Vatsa,Richa Singh,Angshul Majumdar Pdf

Deep Learning is now synonymous with applied machine learning. Many technology giants (e.g. Google, Microsoft, Apple, IBM) as well as start-ups are focusing on deep learning-based techniques for data analytics and artificial intelligence. This technology applies quite strongly to biometrics. This book covers topics in deep learning, namely convolutional neural networks, deep belief network and stacked autoencoders. The focus is also on the application of these techniques to various biometric modalities: face, iris, palmprint, and fingerprints, while examining the future trends in deep learning and biometric research. Contains chapters written by authors who are leading researchers in biometrics. Presents a comprehensive overview on the internal mechanisms of deep learning. Discusses the latest developments in biometric research. Examines future trends in deep learning and biometric research. Provides extensive references at the end of each chapter to enhance further study.

AI and Deep Learning in Biometric Security

Author : Gaurav Jaswal,Vivek Kanhangad,Raghavendra Ramachandra
Publisher : CRC Press
Page : 409 pages
File Size : 48,6 Mb
Release : 2021-03-22
Category : Technology & Engineering
ISBN : 9781000291667

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AI and Deep Learning in Biometric Security by Gaurav Jaswal,Vivek Kanhangad,Raghavendra Ramachandra Pdf

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.

Machine Learning for Biometrics

Author : Partha Pratim Sarangi,Madhumita Panda,Subhashree Mishra,Bhabani Shankar Prasad Mishra,Banshidhar Majhi
Publisher : Academic Press
Page : 266 pages
File Size : 40,6 Mb
Release : 2022-01-21
Category : Computers
ISBN : 9780323903394

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Machine Learning for Biometrics by Partha Pratim Sarangi,Madhumita Panda,Subhashree Mishra,Bhabani Shankar Prasad Mishra,Banshidhar Majhi Pdf

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

Image Pattern Recognition

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 48,7 Mb
Release : 2024-06-16
Category : Electronic
ISBN : 9789814477369

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Image Pattern Recognition by Anonim Pdf

Intelligent Biometric Techniques in Fingerprint and Face Recognition

Author : Lakhmi C. Jain,Ugur Halici,Isao Hayashi,S.B. Lee,Shigeyoshi Tsutsui
Publisher : CRC Press
Page : 478 pages
File Size : 52,9 Mb
Release : 1999-06-29
Category : Technology & Engineering
ISBN : 0849320550

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Intelligent Biometric Techniques in Fingerprint and Face Recognition by Lakhmi C. Jain,Ugur Halici,Isao Hayashi,S.B. Lee,Shigeyoshi Tsutsui Pdf

The tremendous world-wide interest in intelligent biometric techniques in fingerprint and face recognition is fueled by the myriad of potential applications, including banking and security systems, and limited only by the imaginations of scientists and engineers. This growing interest poses new challenges to the fields of expert systems, neural networks, fuzzy systems, and evolutionary computing, which offer the advantages of learning abilities and human-like behavior. Biometric Techniques in Fingerprint and Face Recognition presents a thorough treatment of established and emerging applications and techniques relevant to this field so rich with opportunity.

Human Recognition in Unconstrained Environments

Author : Maria De Marsico,Michele Nappi,Hugo Pedro Proença
Publisher : Academic Press
Page : 248 pages
File Size : 55,9 Mb
Release : 2017-01-09
Category : Technology & Engineering
ISBN : 9780081007129

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Human Recognition in Unconstrained Environments by Maria De Marsico,Michele Nappi,Hugo Pedro Proença Pdf

This book provides a unique picture of the complete ‘in-the-wild’ biometric recognition processing chain; from data acquisition through to detection, segmentation, encoding, and matching reactions against security incidents. Coverage includes: Data hardware architecture fundamentals Background subtraction of humans in outdoor scenes Camera synchronization Biometric traits: Real-time detection and data segmentation Biometric traits: Feature encoding / matching Fusion at different levels Reaction against security incidents Ethical issues in non-cooperative biometric recognition in public spaces With this book readers will learn how to: Use computer vision, pattern recognition and machine learning methods for biometric recognition in real-world, real-time settings, especially those related to forensics and security Choose the most suited biometric traits and recognition methods for uncontrolled settings Evaluate the performance of a biometric system on real world data Presents a complete picture of the biometric recognition processing chain, ranging from data acquisition to the reaction procedures against security incidents Provides specific requirements and issues behind each typical phase of the development of a robust biometric recognition system Includes a contextualization of the ethical/privacy issues behind the development of a covert recognition system which can be used for forensics and security activities

Deep Learning for Biometrics

Author : Bir Bhanu,Ajay Kumar
Publisher : Springer
Page : 312 pages
File Size : 54,8 Mb
Release : 2017-08-01
Category : Computers
ISBN : 9783319616575

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Deep Learning for Biometrics by Bir Bhanu,Ajay Kumar Pdf

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.

Multimodal Biometrics and Intelligent Image Processing for Security Systems

Author : Marina L. Gavrilova,Maruf Monwar
Publisher : IGI Global
Page : 233 pages
File Size : 45,7 Mb
Release : 2013-03-31
Category : Law
ISBN : 9781466636477

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Multimodal Biometrics and Intelligent Image Processing for Security Systems by Marina L. Gavrilova,Maruf Monwar Pdf

"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.

Pattern Recognition and Machine Intelligence

Author : B. Uma Shankar,Kuntal Ghosh,Deba Prasad Mandal,Shubhra Sankar Ray,David Zhang,Sankar K. Pal
Publisher : Springer
Page : 695 pages
File Size : 47,7 Mb
Release : 2017-11-22
Category : Computers
ISBN : 9783319699004

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Pattern Recognition and Machine Intelligence by B. Uma Shankar,Kuntal Ghosh,Deba Prasad Mandal,Shubhra Sankar Ray,David Zhang,Sankar K. Pal Pdf

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.

Encyclopedia of Biometrics

Author : Stan Z. Li
Publisher : Springer Science & Business Media
Page : 1466 pages
File Size : 49,7 Mb
Release : 2009-08-27
Category : Computers
ISBN : 9780387730028

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Encyclopedia of Biometrics by Stan Z. Li Pdf

With an A–Z format, this encyclopedia provides easy access to relevant information on all aspects of biometrics. It features approximately 250 overview entries and 800 definitional entries. Each entry includes a definition, key words, list of synonyms, list of related entries, illustration(s), applications, and a bibliography. Most entries include useful literature references providing the reader with a portal to more detailed information.

Cross Disciplinary Biometric Systems

Author : Chengjun Liu,Vijay Kumar Mago
Publisher : Springer Science & Business Media
Page : 238 pages
File Size : 46,7 Mb
Release : 2012-04-18
Category : Technology & Engineering
ISBN : 9783642284571

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Cross Disciplinary Biometric Systems by Chengjun Liu,Vijay Kumar Mago Pdf

Cross disciplinary biometric systems help boost the performance of the conventional systems. Not only is the recognition accuracy significantly improved, but also the robustness of the systems is greatly enhanced in the challenging environments, such as varying illumination conditions. By leveraging the cross disciplinary technologies, face recognition systems, fingerprint recognition systems, iris recognition systems, as well as image search systems all benefit in terms of recognition performance. Take face recognition for an example, which is not only the most natural way human beings recognize the identity of each other, but also the least privacy-intrusive means because people show their face publicly every day. Face recognition systems display superb performance when they capitalize on the innovative ideas across color science, mathematics, and computer science (e.g., pattern recognition, machine learning, and image processing). The novel ideas lead to the development of new color models and effective color features in color science; innovative features from wavelets and statistics, and new kernel methods and novel kernel models in mathematics; new discriminant analysis frameworks, novel similarity measures, and new image analysis methods, such as fusing multiple image features from frequency domain, spatial domain, and color domain in computer science; as well as system design, new strategies for system integration, and different fusion strategies, such as the feature level fusion, decision level fusion, and new fusion strategies with novel similarity measures.

Pattern Recognition and Machine Intelligence

Author : Sergei O. Kuznetsov,Deba P. Mandal,Malay K. Kundu,Sankar Kumar Pal
Publisher : Springer
Page : 467 pages
File Size : 41,5 Mb
Release : 2011-06-25
Category : Computers
ISBN : 9783642217869

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Pattern Recognition and Machine Intelligence by Sergei O. Kuznetsov,Deba P. Mandal,Malay K. Kundu,Sankar Kumar Pal Pdf

This book constitutes the refereed proceedings of the 4th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2011, held in Moscow, Russia in June/July 2011. The 65 revised papers presented together with 5 invited talks were carefully reviewed and selected from 140 submissions. The papers are organized in topical sections on pattern recognition and machine learning; image analysis; image and video information retrieval; natural language processing and text and data mining; watermarking, steganography and biometrics; soft computing and applications; clustering and network analysis; bio and chemo analysis; and document image processing.

Pattern Recognition

Author : Jose Francisco Martinez-Trinidad,Jesús Ariel Carrasco-Ochoa,Jose Arturo Olvera-López,Joaquín Salas-Rodríguez,Ching Y. Suen
Publisher : Springer
Page : 405 pages
File Size : 51,5 Mb
Release : 2014-06-20
Category : Computers
ISBN : 9783319074917

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Pattern Recognition by Jose Francisco Martinez-Trinidad,Jesús Ariel Carrasco-Ochoa,Jose Arturo Olvera-López,Joaquín Salas-Rodríguez,Ching Y. Suen Pdf

This book constitutes the refereed proceedings of the 6th Mexican Conference on Pattern Recognition, MCPR 2014, held in Cancun, Mexico, in June 2014. The 39 revised full papers presented were carefully reviewed and selected from 68 submissions and are organized in topical sections on pattern recognition and artificial intelligence; computer vision; image processing and analysis; animal biometric recognition and applications of pattern recognition.