Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 5-10 Tagen versandfertig
Veröffentlichung:	Mai 2002
Genre:	EDV / Informatik
	Automated Pattern Recognition / bioinformatics / C / computer science / Computer Vision / Computers and civilization / Computers and Society / Ethical & social aspects of IT / Image Processing and Computer Vision / information architecture / Information technology# general issues / IT Operations / Maintenance & repairs / Management information systems / Management of Computing and Information Systems / molecular biology / Natural language & machine translation / Natural language processing (Computer science) / Natural Language Processing (NLP) / Optical data processing / pattern recognition
ISBN:	9783540437239
EAN-Code:	9783540437239
Verlag:	Springer Berlin Heidelberg
Einband:	Kartoniert
Sprache:	English
Serie:	#2359 - Lecture Notes in Computer Science
Dimensionen:	H 235 mm / B 155 mm / D 12 mm
Gewicht:	330 gr
Seiten:	212
Zus. Info:	Paperback
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.