» » Biometric Authentication: International ECCV 2002 Workshop Copenhagen, Denmark, June 1, 2002 Proceedings (Lecture Notes in Computer Science)

Free eBook Biometric Authentication: International ECCV 2002 Workshop Copenhagen, Denmark, June 1, 2002 Proceedings (Lecture Notes in Computer Science) download

by Massimo Tistarelli,Josef Bigun,Anil K. Jain

Free eBook Biometric Authentication: International ECCV 2002 Workshop Copenhagen, Denmark, June 1, 2002 Proceedings (Lecture Notes in Computer Science) download ISBN: 3540437231
Author: Massimo Tistarelli,Josef Bigun,Anil K. Jain
Publisher: Springer; 2002 edition (August 5, 2002)
Language: English
Pages: 202
Category: Technologies and Future
Subcategory: Computer Science
Size MP3: 1672 mb
Size FLAC: 1325 mb
Rating: 4.7
Format: lit mbr lrf doc


Lecture Notes in Computer Science. Lecture Notes in Computer Science.

Lecture Notes in Computer Science. Biometric Authentication. International ECCV 2002 Workshop Copenhagen, Denmark, June 1, 2002 Proceedings. Biometric authentication refers to identifying an individual based on his or her distinguishing physiological and/or behavioral characteristics. It associates an individual with a previously determined identity based on that individual s appearance or behavior.

Book · January 2002 with 2 Reads. How we measure 'reads'

It associates an individual with a previously determined identity based on that individual s appearance or behavior. Book · January 2002 with 2 Reads. How we measure 'reads'.

This book constitutes the refereed proceedings of the International Workshop on Biometric Authentication held in Copenhagen, Denmark, in June 2001 as a satellite event of ECCV 2002. The papers are organized in topical sections on face recognition, fingerprint recognition, psychology and biometrics, face detection This book constitutes the refereed proceedings of the International Workshop on Biometric Authentication held in Copenhagen, Denmark, in June 2001 as a satellite event of ECCV 2002.

Описание: This book constitutes the refereed proceedings of the International Workshop on Biometric Authentication held in Copenhagen, Denmark, in June 2001 as a satellite event of ECCV 2002. The papers are organized in topical sections on face recognition, fingerprint recognition, psychology and biometrics, face detection and localization, gait and signature recognition, and classifiers for recognition

Biometric authentication international eccv 2002 workshop copenhagen, denmark, june 1, 2002 proceedings (lecture notes in computer science).

oceedings{dingsOT, title {Proceedings of the International ECCV 2002 .

oceedings{dingsOT, title {Proceedings of the International ECCV 2002 Workshop Copenhagen on Biometric Authentication}, author {Massimo Tistarelli and Josef Bigun and Anil Kumar Jain}, booktitle {eccv 2002}, year {2002} }. Massimo Tistarelli, Josef Bigun, Anil Kumar Jain. Published in eccv 2002.

Biometric Fingerprint Attendance System Demo Training Online in Delhi Mumbai Bangalore Chennai India - Продолжительность: 3. .

Massimo Tistarelli, Josef Bigun, Anil K Jain. Because many physiological or behavioral characteristics (biometric indicators) are distinctive to each person, biometric identifiers are inherently more reliable and more capable than knowledge-based (.

Series: Lecture Notes in Computer Science (Book 2364).

FREE shipping on qualifying offers. Series: Lecture Notes in Computer Science (Book 2364).

Massimo Tistarelli, Josef Bigün, Anil K. Jain: Biometric Authentication, International ECCV 2002 Workshop Copenhagen, Denmark, June 1, 2002, Proceedings. Lecture Notes in Computer Science 2359, Springer 2002, ISBN 3-540-43723-1. Face Recognition I. view.

Biometric authentication refers to identifying an individual based on his or her distinguishing physiological and/or behavioral characteristics. It associates an individual with a previously determined identity based on that individual s appearance or behavior. Because many physiological or behavioral characteristics (biometric indicators) are distinctive to each person, biometric identifiers are inherently more reliable and more capable than knowledge-based (e.g., password) and token-based (e.g., a key) techniques in differentiating between an authorized person and a fraudulent impostor. For this reason, more and more organizations are looking to automated identity authentication systems to improve customer satisfaction, security, and operating efficiency as well as to save critical resources. Biometric authentication is a challenging pattern recognition problem; it involves more than just template matching. The intrinsic nature of biometric data must be carefully studied, analyzed, and its properties taken into account in developing suitable representation and matching algorithms. The intrinsic variability of data with time and environmental conditions, the social acceptability and invasiveness of acquisition devices, and the facility with which the data can be counterfeited must be considered in the choice of a biometric indicator for a given application. In order to deploy a biometric authentication system, one must consider its reliability, accuracy, applicability, and efficiency. Eventually, it may be necessary to combine several biometric indicators (multimodal-biometrics) to cope with the drawbacks of the individual biometric indicators.