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008			150903s2009 xxk| o |||| 0|eng d
020			_a9781848002920 _99781848002920
024	7		_a10.1007/9781848002920 _2doi
035			_avtls000344257
039		9	_a201509030405 _bVLOAD _c201405050304 _dVLOAD _y201402061252 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQH323.5
100	1		_aDorizzi, Bernadette. _eeditor. _9322318
245	1	0	_aGuide to Biometric Reference Systems and Performance Evaluation / _cedited by Bernadette Dorizzi, Gérard Chollet, Dijana Petrovska-Delacrétaz.
264		1	_aLondon : _bSpringer London : _bImprint: Springer, _c2009.
300			_brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
500			_aSpringer eBooks
505	0		_aIntroduction—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).
520			_aOur 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. Anil K. 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-art research with practical tools for researchers, 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
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aChollet, Gérard. _eeditor. _9322319
700	1		_aPetrovska-Delacrétaz, Dijana. _eeditor. _9322320
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781848002913
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-84800-292-0 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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