Logo - springer
Slogan - springer

Computer Science - Image Processing | Advances in Biometrics - Sensors, Algorithms and Systems

Advances in Biometrics

Sensors, Algorithms and Systems

Ratha, N. K., Govindaraju, Venu (Eds.)

2008, XIX, 503 p.

Available Formats:

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.


(net) price for USA

ISBN 978-1-84628-921-7

digitally watermarked, no DRM

Included Format: PDF

download immediately after purchase

learn more about Springer eBooks

add to marked items


Hardcover version

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.


(net) price for USA

ISBN 978-1-84628-920-0

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days

add to marked items


Softcover (also known as softback) version.

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.


(net) price for USA

ISBN 978-1-4471-5696-3

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days

add to marked items

  • Contributions from renowned active international researchers
  • Selection of topics has been based on the novelty and advances made in these areas, capturing the key developments

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.

Content Level » Research

Keywords » algorithms - biometrics - fingerprint - fingerprint recognition - identity management - privacy - proving - verification

Related subjects » Image Processing - Information Systems and Applications

Table of contents 

Multispectral Fingerprint Image Acquisition.- Touchless fingerprinting Technology.- A single-line AC capacitative fingerprint swipe sensor.- Ultrasonic Sensors for Capturing Livescan of Fingerprint Biometrics.- 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.- Voice-based Speaker Recognition Combining Acoustic and Stylistic Features.- Conversational Biometrics.- Function-based On-line 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 Human Identification.- Strategies for improving face recognition from Video.- Large Population face recognition using correlation filters.- SVDD-based Face Reconstruction in Degraded Images.- 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.- Biometric Standards.

Popular Content within this publication 



Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Pattern Recognition.