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Advances in Biometrics Sensors, Algorithms and Systems /
Biometrics technology continues to stride forward with its wider acceptance and its real need in various new security facets of modern society. From simply logging on to a laptop to crossing the border of a country, biometrics is being called upon to meet the growing challenges of identity managemen...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Springer London : Imprint: Springer,
2008.
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| Edición: | 1st ed. 2008. |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 245 | 1 | 0 | |a Advances in Biometrics |h [electronic resource] : |b Sensors, Algorithms and Systems / |c edited by N. K. Ratha, Venu Govindaraju. |
| 250 | |a 1st ed. 2008. | ||
| 264 | 1 | |a London : |b Springer London : |b Imprint: Springer, |c 2008. | |
| 300 | |a XIX, 503 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | |a Sensors -- Multispectral Fingerprint Image Acquisition -- Touchless Fingerprinting Technology -- A Single-Line AC Capacitive Fingerprint Swipe Sensor -- Ultrasonic Fingerprint Sensors -- Palm Vein Authentication -- Finger Vein Authentication Technology and Financial Applications -- Iris Recognition in Less Constrained Environments -- Ocular Biometrics: Simultaneous Capture and Analysis of the Retina and Iris -- Face Recognition Beyond the Visible Spectrum -- Algorithms -- Voice-Based Speaker Recognition Combining Acoustic and Stylistic Features -- Conversational Biometrics: A Probabilistic View -- Function-Based Online Signature Verification -- Writer Identification and Verification -- Improved Iris Recognition Using Probabilistic Information from Correlation Filters -- Headprint-Based Human Recognition -- Pose and Illumination Issues in Face- and Gait- Based Identification -- SVDD-Based Face Reconstruction in Degraded Images -- Strategies for Improving Face Recognition from Video -- Large-Population Face Recognition (LPFR) Using Correlation Filters -- Systems -- Fingerprint Synthesis and Spoof Detection -- Match-on-Card for Secure and Scalable Biometric Authentication -- Privacy and Security Enhancements in Biometrics -- Adaptive Biometric Systems That Can Improve with Use -- Biometrics Standards. | |
| 520 | |a Biometrics technology continues to stride forward with its wider acceptance and its real need in various new security facets of modern society. From simply logging on to a laptop to crossing the border of a country, biometrics is being called upon to meet the growing challenges of identity management. With contributions from academia and industry by leading international authorities in the field, this unique book presents a comprehensive treatment of biometrics and offers coverage of the entire gamut of topics in the field, including data acquisition, pattern-matching algorithms, and issues that impact at the system level, such as standards, security, networks, and databases. It has been organized under three sections: sensors, advances in biometric matching algorithms, and topics that deal with issues at the systems level. Key features: • Includes new algorithmic advances, including physiological biometrics (face from video, iris at a distance) and behavioral (handwriting, voice) and a strikingly novel modality in headprint biometrics • Contains new modalities for research, such as infrared and multispectral imaging • Presents several chapters on the much overlooked area relating to the sensors themselves for the various biometric modalities • Emphasizes the advances and cutting-edge technologies throughout • Discusses systems level both from a human-factors point of view and the perspective of networking, databases, privacy and anti-spoofing • Incorporates chapters devoted to touchless image capture, ultrasonic imaging and swipe methods Written for researchers and advanced students, this much needed concise volume is an ideal tool to use as a ready reference and captures the very latest in state-of-the-art research, providing readers with a broader and deeper understanding of the topic. Dr Nalini K. Ratha is a Research Staff Member at the IBM Thomas J. Watson Research Center, New York. He co-edited the successful Automatic Fingerprint Recognition Systems and also co-authored A Guide to Biometrics Selection and System Design Professor Venu Govindaraju is Director at the Center for Unified Biometrics and Sensors (CUBS), University at Buffalo, State University of New York. | ||
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 0 | |a Biometric identification. | |
| 650 | 0 | |a Computer vision. | |
| 650 | 0 | |a Multimedia systems. | |
| 650 | 1 | 4 | |a Automated Pattern Recognition. |
| 650 | 2 | 4 | |a Biometrics. |
| 650 | 2 | 4 | |a Computer Vision. |
| 650 | 2 | 4 | |a Multimedia Information Systems. |
| 700 | 1 | |a Ratha, N. K. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Govindaraju, Venu. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9781848006461 |
| 776 | 0 | 8 | |i Printed edition: |z 9781846289200 |
| 776 | 0 | 8 | |i Printed edition: |z 9781447156963 |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-1-84628-921-7 |z Texto Completo |
| 912 | |a ZDB-2-SCS | ||
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| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||