Guide to Biometric Reference Systems and Performance Evaluation

practitioners and graduates in the field of Biometrics and Pattern Recognition, and with its comprehensive coverage, it will prove an indispensable resource and frequently used tool. Key topics BioSecure Benchmarking Methodology Biometric Performance Evaluation Iris Recognition Fingerprint Recogniti...

Full description

Bibliographic Details
Other Authors: Petrovska-Delacrétaz, Dijana (Editor), Chollet, Gérard (Editor), Dorizzi, Bernadette (Editor)
Format: eBook
Language:English
Published: London Springer London 2009, 2009
Edition:1st ed. 2009
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 04178nmm a2200385 u 4500
001 EB000367565
003 EBX01000000000000000220617
005 00000000000000.0
007 cr|||||||||||||||||||||
008 130626 ||| eng
020 |a 9781848002920 
100 1 |a Petrovska-Delacrétaz, Dijana  |e [editor] 
245 0 0 |a Guide to Biometric Reference Systems and Performance Evaluation  |h Elektronische Ressource  |c edited by Dijana Petrovska-Delacrétaz, Gérard Chollet, Bernadette Dorizzi 
250 |a 1st ed. 2009 
260 |a London  |b Springer London  |c 2009, 2009 
300 |a XXX, 382 p. 146 illus., 15 illus. in color  |b online resource 
505 0 |a Introduction—About the Need of an Evaluation Framework in Biometrics -- The BioSecure Benchmarking Methodology for Biometric Performance Evaluation -- Iris Recognition -- Fingerprint Recognition -- Hand Recognition -- Online Handwritten Signature Verification -- Text-independent Speaker Verification -- 2D Face Recognition -- 3D Face Recognition -- Talking-face Verification -- BioSecure Multimodal Evaluation Campaign 2007 (BMEC’2007) 
653 |a Image processing / Digital techniques 
653 |a Computer vision 
653 |a Computer Imaging, Vision, Pattern Recognition and Graphics 
653 |a Biometrics 
653 |a Automated Pattern Recognition 
653 |a Biometric identification 
653 |a Pattern recognition systems 
700 1 |a Chollet, Gérard  |e [editor] 
700 1 |a Dorizzi, Bernadette  |e [editor] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
028 5 0 |a 10.1007/978-1-84800-292-0 
856 4 0 |u https://doi.org/10.1007/978-1-84800-292-0?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 006.4 
520 |a practitioners and graduates in the field of Biometrics and Pattern Recognition, and with its comprehensive coverage, it will prove an indispensable resource and frequently used tool. Key topics BioSecure Benchmarking Methodology Biometric Performance Evaluation Iris Recognition Fingerprint Recognition Hand Recognition Online Handwritten Signature Verification Text-independent Speaker Verification 2D and 3D Face Recognition Talking Face Verification 
520 |a Jain, Michigan State University, USA • Introduces the concept of reproducible results and comparative evaluations • Presents an extensive benchmarking methodology • Describes reference algorithms in detail, with a link to source code • Biometrics Reference and Evaluation Toolkit provided via http://share.int-evry.fr/svnview-eph/ • Implements this methodology throughout all chapters • Offers readers a tool for a better evaluation of their algorithms by giving them the instruments to fully reproduce the benchmarking (reference) experiments (software, database, experimental protocols) • Provides a global perspective with a common evaluation scheme and methodology • Examines current research results with this framework • Consolidates results from publicly available databases, using well defined protocols This unique text/reference combines state-of-the-artresearch with practical tools for researchers,  
520 |a Anil K.  
520 |a Our daily interactions are based on recognizing people. As information technology advances, our interactions will be accomplished through newly designed interfaces, with a vital element being the automated process of recognition of a person’s real identity: Biometrics. In recent years, biometrics has moved from using fingerprints, to many different methods of assessing human physical and behavioural traits. This useful guide introduces a new performance evaluation framework designed to provide complete coverage of performance evaluation of major biometric systems. Two key areas are presented: The first gives a unique snapshot of the performance evaluation of various biometrics within a common evaluation framework (databases and protocols). The second presents a state-of-the-art benchmarking evaluation framework for use in future performance evaluations – comprised of open-source reference systems. Features and benefits: • Includes a Foreword by renowned biometric expert Prof.