Multispectral Biometrics

Describing several new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris recognition technologies, this book analyzes a ...

Multispectral Biometrics

Author: David Zhang

Publisher: Springer

ISBN: 3319224859

Page: 229

View: 944

Describing several new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris recognition technologies, this book analyzes a number of efficient feature extraction, matching and fusion algorithms and how potential systems have been developed. Focusing on how to develop new biometric technologies based on the requirements of applications, and how to design efficient algorithms to deliver better performance, the work is based on the author’s research with experimental results under different challenging conditions described in the text. The book offers a valuable resource for researchers, professionals and postgraduate students working in the fields of computer vision, pattern recognition, biometrics, and security applications, amongst others.

Encyclopedia of Biometrics

Multispectral and Hyperspectral Biometrics. Figure 1 Visible and NIR images of a
subject wearing sun glasses. Images are acquired using an IR-Enabled Sony
DSC-S30 Digital Camera & X-Nite780 nm filter under incandescent lighting ...

Encyclopedia of Biometrics

Author: Stan Z. Li

Publisher: Springer Science & Business Media

ISBN: 0387730028

Page: 1433

View: 482

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.

Deep Biometrics

214–226 R.K. Rowe, K.A. Nixon, S.P. Corcoran, Multispectral fingerprint
biometrics, in Information Assurance Workshop, 2005. IAW'05. Proceedings from
the Sixth Annual IEEE SMC (IEEE, Piscataway, 2005), pp. 14–20 D. Zhang, Z.
Guo, ...

Deep Biometrics

Author: Richard Jiang

Publisher: Springer Nature

ISBN: 3030325830

Page: 320

View: 345

This book highlights new advances in biometrics using deep learning toward deeper and wider background, deeming it “Deep Biometrics”. The book aims to highlight recent developments in biometrics using semi-supervised and unsupervised methods such as Deep Neural Networks, Deep Stacked Autoencoder, Convolutional Neural Networks, Generative Adversary Networks, and so on. The contributors demonstrate the power of deep learning techniques in the emerging new areas such as privacy and security issues, cancellable biometrics, soft biometrics, smart cities, big biometric data, biometric banking, medical biometrics, healthcare biometrics, and biometric genetics, etc. The goal of this volume is to summarize the recent advances in using Deep Learning in the area of biometric security and privacy toward deeper and wider applications. Highlights the impact of deep learning over the field of biometrics in a wide area; Exploits the deeper and wider background of biometrics, such as privacy versus security, biometric big data, biometric genetics, and biometric diagnosis, etc.; Introduces new biometric applications such as biometric banking, internet of things, cloud computing, and medical biometrics.

Advanced Biometrics

Such system must have the capability to acquire and process biometric data at
different times of day and night, in a variety of weather and environmental
conditions, and be resistant to spoofing attempts. Multispectral biometrics is one
of the ...

Advanced Biometrics

Author: David Zhang

Publisher: Springer

ISBN: 3319615459

Page: 335

View: 594

This book describes a range of new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris technologies. Further, it introduces readers to efficient feature extraction, matching and fusion algorithms, in addition to developing potential systems of its own. These advanced biometric technologies and methods are divided as follows: 1. High-Resolution Fingerprint Recognition; 2. Finger-Knuckle-Print Verification; 3. Other Hand-Based Biometrics; and 4. New Head-Based Biometrics. Traditional biometric technologies, such as fingerprint, face, iris, and palmprint, have been extensively studied and addressed in many research books. However, all of these technologies have their own advantages and disadvantages, and there is no single type of biometric technology that can be used for all applications. Many new biometric technologies have been developed in recent years, especia lly in response to new applications. The contributions gathered here focus on how to develop a new biometric technology based on the requirements of essential applications, and how to design efficient algorithms that yield better performance.

International Symposium on Multispectral Image Processing ISMIP 98

Automatic fingerprint identification is one of the most reliable biometric
technology . Extensive studies have been conducted on fingerprints and
fingerprint identification.3-5 Humans have used fingerprints for personal
identification for centuries ...

International Symposium on Multispectral Image Processing  ISMIP 98

Author: Ji Zhou

Publisher: Society of Photo Optical

ISBN:

Page: 628

View: 135

This volume comprises papers on multispectral image processing. They discuss issues such as: processing of hyperspectral remote sensing images; 3d object understanding from 2D images; occlusion-detectable stereo for 3D image media; and fast route-planning approach to aircraft.

Advances in Signal Processing and Intelligent Recognition Systems

For such a biometric system to operate 24 × 7, it should be capable of person
identification/authentication in multiple spectra. This has led to the development
of multispectral biometrics. The multispectral recognition has been performed on
the ...

Advances in Signal Processing and Intelligent Recognition Systems

Author: Sabu M. Thampi

Publisher: Springer Nature

ISBN: 9811548285

Page: 400

View: 718

This book constitutes the refereed proceedings of the 5th International Symposium on Advances in Signal Processing and Intelligent Recognition Systems, SIRS 2019, held in Trivandrum, India, in December 2019. The 19 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 63 submissions. The papers cover wide research fields including information retrieval, human-computer interaction (HCI), information extraction, speech recognition.

Spectral Imaging

Multispectral Imaging for Biometrics Robert K . Rowe " , Stephen P . Corcoran ,
Kristin A . Nixon , Robert E . Ostrom Lumidigm , Inc , 800 Bradbury SE , Suite 213
, Albuquerque , NM 87106 ABSTRACT Automated identification systems based ...

Spectral Imaging

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Digital Color Image Processing

12 MULTISPECTRAL IMAGING FOR BIOMETRICS Multispectral imaging has
been widely used in various applications , such as remote sensing for resource
monitoring , astronomy , medical imaging , analysis of museological objects ...

Digital Color Image Processing

Author: Andreas Koschan

Publisher: Wiley-Interscience

ISBN:

Page: 375

View: 633

An introduction to color in three-dimensional image processing and the emerging area of multi-spectral image processing The importance of color information in digital image processing is greater than ever. However, the transition from scalar to vector-valued image functions has not yet been generally covered in most textbooks. Now, Digital Color Image Processing fills this pressing need with a detailed introduction to this important topic. In four comprehensive sections, this book covers: The fundamentals and requirements for color image processing from a vector-valued viewpoint Techniques for preprocessing color images Three-dimensional scene analysis using color information, as well as the emerging area of multi-spectral imaging Applications of color image processing, presented via the examination of two case studies In addition to introducing readers to important new technologies in the field, Digital Color Image Processing also contains novel topics such as: techniques for improving three-dimensional reconstruction, three-dimensional computer vision, and emerging areas of safety and security applications in luggage inspection and video surveillance of high-security facilities. Complete with full-color illustrations and two applications chapters, Digital Color Image Processing is the only book that covers the breadth of the subject under one convenient cover. It is written at a level that is accessible for first- and second-year graduate students in electrical and computer engineering and computer science courses, and that is also appropriate for researchers who wish to extend their knowledge in the area of color image processing.

Advances in Biometrics

Written for researchers, advanced students and practitioners to use as a handbook, this volume captures the very latest state-of-the-art research contributions from leading international researchers in the field.

Advances in Biometrics

Author: N. K. Ratha

Publisher: Springer Science & Business Media

ISBN: 1846289203

Page: 503

View: 555

Written for researchers, advanced students and practitioners to use as a handbook, this volume captures the very latest state-of-the-art research contributions from leading international researchers in the field.

Signal and Image Processing for Biometrics

This volume offers a guide to the state of the art in the fast evolving field of biometric recognition to newcomers and experienced practitioners.

Signal and Image Processing for Biometrics

Author: Jacob Scharcanski

Publisher: Springer Science & Business Media

ISBN: 3642540805

Page: 331

View: 621

This volume offers a guide to the state of the art in the fast evolving field of biometric recognition to newcomers and experienced practitioners. It is focused on the emerging strategies to perform biometric recognition under uncontrolled data acquisition conditions. The mainstream research work in this field is presented in an organized manner, so the reader can easily follow the trends that best suits her/his interests in this growing field. The book chapters cover the recent advances in less controlled / covert data acquisition frameworks, segmentation of poor quality biometric data, biometric data quality assessment, normalization of poor quality biometric data. contactless biometric recognition strategies, biometric recognition robustness, data resolution, illumination, distance, pose, motion, occlusions, multispectral biometric recognition, multimodal biometrics, fusion at different levels, high confidence automatic surveillance.

Security

There are a number of biometrics approaches . The latest – multispectral imaging
technology , according to Bill Spence . At ISC , he told Security Magazine that
Lumidigm's sensors use multispectral imaging to collect information from below ...

Security

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Handbook of Biometrics

The Handbook of Biometrics can be used as a primary textbook for an undergraduate biometrics class. This book is also suitable as a secondary textbook or reference for advanced-level students in computer science.

Handbook of Biometrics

Author: Anil K. Jain

Publisher: Springer Science & Business Media

ISBN: 0387710418

Page: 556

View: 724

Biometrics is a rapidly evolving field with applications ranging from accessing one’s computer to gaining entry into a country. The deployment of large-scale biometric systems in both commercial and government applications has increased public awareness of this technology. Recent years have seen significant growth in biometric research resulting in the development of innovative sensors, new algorithms, enhanced test methodologies and novel applications. This book addresses this void by inviting some of the prominent researchers in Biometrics to contribute chapters describing the fundamentals as well as the latest innovations in their respective areas of expertise.

Biometric Security and Privacy

This book highlights recent research advances on biometrics using new methods such as deep learning, nonlinear graph embedding, fuzzy approaches, and ensemble learning.

Biometric Security and Privacy

Author: Richard Jiang

Publisher: Springer

ISBN: 3319473018

Page: 424

View: 175

This book highlights recent research advances on biometrics using new methods such as deep learning, nonlinear graph embedding, fuzzy approaches, and ensemble learning. Included are special biometric technologies related to privacy and security issues, such as cancellable biometrics and soft biometrics. The book also focuses on several emerging topics such as big data issues, internet of things, medical biometrics, healthcare, and robot-human interactions. The authors show how these new applications have triggered a number of new biometric approaches. They show, as an example, how fuzzy extractor has become a useful tool for key generation in biometric banking, and vein/heart rates from medical records can also be used to identify patients. The contributors cover the topics, their methods, and their applications in depth.

Advanced Pattern Recognition Technologies with Applications to Biometrics

areas such as multisensor data fusion ( Hall & Llinas , 1997 ) , multispectral
image fusion and geoscience data fusion ( Jeon ... We would like to regard
decision level fusion ' as a term of information science rather than a term of
biometrics .

Advanced Pattern Recognition Technologies with Applications to Biometrics

Author: David Zhang

Publisher: IGI Global

ISBN: 9781605662008

Page: 368

View: 475

"This book focuses on two kinds of advanced biometric recognition technologies, biometric data discrimination and multi-biometrics"--Provided by publisher.

Handbook of Biometric Anti Spoofing

Presenting the first definitive study of the subject, this Handbook of Biometric Anti-Spoofing reviews the state of the art in covert attacks against biometric systems and in deriving countermeasures to these attacks.

Handbook of Biometric Anti Spoofing

Author: Sébastien Marcel

Publisher: Springer

ISBN: 1447165241

Page: 281

View: 249

Presenting the first definitive study of the subject, this Handbook of Biometric Anti-Spoofing reviews the state of the art in covert attacks against biometric systems and in deriving countermeasures to these attacks. Topics and features: provides a detailed introduction to the field of biometric anti-spoofing and a thorough review of the associated literature; examines spoofing attacks against five biometric modalities, namely, fingerprints, face, iris, speaker and gait; discusses anti-spoofing measures for multi-model biometric systems; reviews evaluation methodologies, international standards and legal and ethical issues; describes current challenges and suggests directions for future research; presents the latest work from a global selection of experts in the field, including members of the TABULA RASA project.

Final Program and Proceedings

Multi - Spectral Imaging of Fingerprints for Secure Biometric Systems Masashi
Kurita , Katsuki Tai and Ichiro Fujieda ... equipped with light sources emitting in
different narrow wavelength bands , namely a multi - spectral fingerprint sensor .

Final Program and Proceedings

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