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The biometric computing : recognition and registration / edited by Karm Veer Arya and Robin Singh Bhadoria.

Contributor(s): Arya, Karm Veer [editor.] | Bhadoria, Robin Singh [editor.].
Material type: materialTypeLabelBookPublisher: Boca Raton : CRC Press, Taylor & Francis Group, [2020]Copyright date: ©2020Description: 1 online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781351013437; 1351013432; 9781351013413; 1351013416; 9781351013420; 1351013424.Subject(s): Biometric identification | Biometry -- Computer programs | COMPUTERS / General | COMPUTERS / Computer Graphics / Game Programming & Design | COMPUTERS / Machine TheoryDDC classification: 006.4 Online resources: Taylor & Francis | OCLC metadata license agreement
Contents:
Part I: The Biometric Computing - Fundamentals & Definitions Chapter 1: Acquisition and Computation for Data in Biometric System Poonam Sharma, Karm Veer Arya Chapter 2: Advances in Unconstrained Handprint Biometrics Gaurav Jaswal, Amit Kaul, Ravinder Nath Chapter 3: Voiceprint Based Biometric Template Identifications Akella Amarendra Babu, Sridevi Tumula, Yellasiri Ramadevi Chapter 4: Behavioral Biometrics: A Prognostic Measure For Activity Recognition Ankit A. Bhurane, Robin Singh Bhadoria Chapter 5: Finger Biometric Recognition with Feature Selection Asish Bera, Debotosh Bhattacharjee, Mita Nasipuri Part II: The Biometric Computing - Algorithms & Methodologies Chapter 6: Iris Recognition Systems in Non-Cooperative Environment Mireya Saraí García Vázquez, Eduardo Garea Llano, Juan Miguel Colores Vargas, Alejandro Álvaro Ramírez Acosta Chapter 7: Slap Fingerprint Authentication and its Limitations Puneet Gupta, Phalguni Gupta Chapter 8: The Reality of People Re-Identification Task, Where We Are And Where We Are Going: A Review Daniela Moctezuma, Mario Graff, Eric S. Tellez Sabino, Miranda-Jiménez Chapter 9: Optimization of SVM Based Hand Gesture Recognition System Using Particle Swarm Optimization and Plant Growth Algorithm K . Martin Sagayam, Sankirthana Suresh D, Jude Hemanth, Lawrence Henessey, Chiung Ching Ho Chapter 10: Internet of Biometric Things: Standardization Activities and Frameworks Zoran S. Bojkovic, Dragorad A. Milovanovic Part III: The Biometric Computing - Futuristic Research & Case Studies Chapter 11: Deep Neural Networks For Biometric Identification Based On Non-Intrusive ECG Acquisitions João Ribeiro Pinto, Jaime S. Cardoso, André Lourenço Chapter 12: Recent Advances in Biometric Recognition for Newborns Abhinav Kumar, Sanjay Kumar Singh Chapter 13: Paradigms of Artificial Intelligence in Biometric Computing Pradeep Kundu, Manish Rawat Chapter 14: Face recognition in Low-Resolution Space Shyam Singh Rajput, Karm Veer Arya, Poonam Sharma
Summary: "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.
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"A Chapman & Hall book."

Part I: The Biometric Computing - Fundamentals & Definitions Chapter 1: Acquisition and Computation for Data in Biometric System Poonam Sharma, Karm Veer Arya Chapter 2: Advances in Unconstrained Handprint Biometrics Gaurav Jaswal, Amit Kaul, Ravinder Nath Chapter 3: Voiceprint Based Biometric Template Identifications Akella Amarendra Babu, Sridevi Tumula, Yellasiri Ramadevi Chapter 4: Behavioral Biometrics: A Prognostic Measure For Activity Recognition Ankit A. Bhurane, Robin Singh Bhadoria Chapter 5: Finger Biometric Recognition with Feature Selection Asish Bera, Debotosh Bhattacharjee, Mita Nasipuri Part II: The Biometric Computing - Algorithms & Methodologies Chapter 6: Iris Recognition Systems in Non-Cooperative Environment Mireya Saraí García Vázquez, Eduardo Garea Llano, Juan Miguel Colores Vargas, Alejandro Álvaro Ramírez Acosta Chapter 7: Slap Fingerprint Authentication and its Limitations Puneet Gupta, Phalguni Gupta Chapter 8: The Reality of People Re-Identification Task, Where We Are And Where We Are Going: A Review Daniela Moctezuma, Mario Graff, Eric S. Tellez Sabino, Miranda-Jiménez Chapter 9: Optimization of SVM Based Hand Gesture Recognition System Using Particle Swarm Optimization and Plant Growth Algorithm K . Martin Sagayam, Sankirthana Suresh D, Jude Hemanth, Lawrence Henessey, Chiung Ching Ho Chapter 10: Internet of Biometric Things: Standardization Activities and Frameworks Zoran S. Bojkovic, Dragorad A. Milovanovic Part III: The Biometric Computing - Futuristic Research & Case Studies Chapter 11: Deep Neural Networks For Biometric Identification Based On Non-Intrusive ECG Acquisitions João Ribeiro Pinto, Jaime S. Cardoso, André Lourenço Chapter 12: Recent Advances in Biometric Recognition for Newborns Abhinav Kumar, Sanjay Kumar Singh Chapter 13: Paradigms of Artificial Intelligence in Biometric Computing Pradeep Kundu, Manish Rawat Chapter 14: Face recognition in Low-Resolution Space Shyam Singh Rajput, Karm Veer Arya, Poonam Sharma

"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.

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