bigun josef tistarelli massimo jain (20 Ergebnisse)

Softcover. Zustand: Gut. Gebraucht - Gut Zustand: Gut, XII, 373 pp. About this book: 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 19 revised full papers presented were carefully reviewed. 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. Written for researchers, professionals.

Taschenbuch oder Softcover. Zustand: Sehr gut. Zustand: Mängelexemplar, Einband mit geringfügigen Gebrauchsspuren, insgesamt SEHR GUTER Zustand! Stichworte: Automatische Sprechererkennung, Authentifikation, Kongress, Kopenhagen , Gesicht, Bilderkennung, Biometrie, Konferenzschrift Englisch 615g.

Taschenbuch oder Softcover. Zustand: Sehr gut. Zustand: Mängelexemplar, Einband mit geringfügigen Gebrauchsspuren, insgesamt SEHR GUTER Zustand! Stichworte: Automatische Sprechererkennung, Authentifikation, Kongress, Kopenhagen , Gesicht, Bilderkennung, Biometrie, Konferenzschrift Englisch 619g.

Zustand: New. pp. 216.

Zustand: New. pp. 216.

Zustand: New. pp. 216 Illus.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

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Paperback. Zustand: Very Good. Ex-library paperback in very nice condition with the usual markings and attachments.

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Zustand: As New. Unread book in perfect condition.

Paperback. Zustand: Like New. Like New. book.

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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 behav.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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. 212 pp. Englisch.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 212 pp. Englisch.