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Advanced Biometrics with Deep Learning

2020-12-28 Business & Economics
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Release : 2020-12-28
Genre : Business & Economics
Kind : eBook
Book Rating : 98X/5 ( reviews)

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Book Synopsis Advanced Biometrics with Deep Learning by : Andrew Teoh Beng Jin

Download or read book Advanced Biometrics with Deep Learning written by Andrew Teoh Beng Jin . This book was released on 2020-12-28. Available in PDF, EPUB and Kindle. Book excerpt: Biometrics, such as fingerprint, iris, face, hand print, hand vein, speech and gait recognition, etc., as a means of identity management have become commonplace nowadays for various applications. Biometric systems follow a typical pipeline, that is composed of separate preprocessing, feature extraction and classification. Deep learning as a data-driven representation learning approach has been shown to be a promising alternative to conventional data-agnostic and handcrafted pre-processing and feature extraction for biometric systems. Furthermore, deep learning offers an end-to-end learning paradigm to unify preprocessing, feature extraction, and recognition, based solely on biometric data. This Special Issue has collected 12 high-quality, state-of-the-art research papers that deal with challenging issues in advanced biometric systems based on deep learning. The 12 papers can be divided into 4 categories according to biometric modality; namely, face biometrics, medical electronic signals (EEG and ECG), voice print, and others.

Advanced Biometrics with Deep Learning

2020
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Author :
Release : 2020
Genre :
Kind : eBook
Book Rating : 996/5 ( reviews)

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Book Synopsis Advanced Biometrics with Deep Learning by : Andrew Jin

Download or read book Advanced Biometrics with Deep Learning written by Andrew Jin. This book was released on 2020. Available in PDF, EPUB and Kindle. Book excerpt: Biometrics, such as fingerprint, iris, face, hand print, hand vein, speech and gait recognition, etc., as a means of identity management have become commonplace nowadays for various applications. Biometric systems follow a typical pipeline, that is composed of separate preprocessing, feature extraction and classification. Deep learning as a data-driven representation learning approach has been shown to be a promising alternative to conventional data-agnostic and handcrafted pre-processing and feature extraction for biometric systems. Furthermore, deep learning offers an end-to-end learning paradigm to unify preprocessing, feature extraction, and recognition, based solely on biometric data. This Special Issue has collected 12 high-quality, state-of-the-art research papers that deal with challenging issues in advanced biometric systems based on deep learning. The 12 papers can be divided into 4 categories according to biometric modality; namely, face biometrics, medical electronic signals (EEG and ECG), voice print, and others.

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.

AI and Deep Learning in Biometric Security

2021-03-22 Technology & Engineering
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Release : 2021-03-22
Genre : Technology & Engineering
Kind : eBook
Book Rating : 669/5 ( reviews)

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Book Synopsis AI and Deep Learning in Biometric Security by : Gaurav Jaswal

Download or read book AI and Deep Learning in Biometric Security written by Gaurav Jaswal. This book was released on 2021-03-22. Available in PDF, EPUB and Kindle. Book 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.

Deep Learning in Biometrics

2018-03-05 Computers
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Release : 2018-03-05
Genre : Computers
Kind : eBook
Book Rating : 990/5 ( reviews)

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Book Synopsis Deep Learning in Biometrics by : Mayank Vatsa

Download or read book Deep Learning in Biometrics written by Mayank Vatsa. This book was released on 2018-03-05. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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