Biometrics is the automated method of recognizing a person based on a physiological or behavioral characteristic. Biometric authentication is gaining popularity as a more reliable alternative to password based security systems as it is relatively hard to be forgotten, stolen, or guessed. Many researchers are moving towards fusion of multiple biometrics to achieve more sophistication in the present systems. Instead of using multiple biometrics such as palm and face, fingerprint and palm; it is better to focus at a single biometric entity. While doing so use different measures while feature extraction. Such interesting modality is human palm.The palm presents rich geometrical features as well as rich texture features in terms of principle lines present on it. In this work we are using geometrical features such as finger lengths and finger widths as features. To increase the richness of the feature and to add more feature variance amongst the data set palm print features are added to it.
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Biometrics is the automated method of recognizing a person based on a physiological or behavioral characteristic. Biometric authentication is gaining popularity as a more reliable alternative to password based security systems as it is relatively hard to be forgotten, stolen, or guessed. Many researchers are moving towards fusion of multiple biometrics to achieve more sophistication in the present systems. Instead of using multiple biometrics such as palm and face, fingerprint and palm; it is better to focus at a single biometric entity. While doing so use different measures while feature extraction. Such interesting modality is human palm.The palm presents rich geometrical features as well as rich texture features in terms of principle lines present on it. In this work we are using geometrical features such as finger lengths and finger widths as features. To increase the richness of the feature and to add more feature variance amongst the data set palm print features are added to it.
Suhas Subhash Chate,pursuing PhD in Electronics & Telecommunication Engineering at Bhabha Atomic Research Centre, India.Completed Master in Technology from College of Engineering Pune in 2012. Did his Bachelor in Engineering from Government Engineering College Aurangabad,India. His research interests include: Biometrics,Image Processing.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Biometrics is the automated method of recognizing a person based on a physiological or behavioral characteristic. Biometric authentication is gaining popularity as a more reliable alternative to password based security systems as it is relatively hard to be forgotten, stolen, or guessed. Many researchers are moving towards fusion of multiple biometrics to achieve more sophistication in the present systems. Instead of using multiple biometrics such as palm and face, fingerprint and palm; it is better to focus at a single biometric entity. While doing so use different measures while feature extraction. Such interesting modality is human palm.The palm presents rich geometrical features as well as rich texture features in terms of principle lines present on it. In this work we are using geometrical features such as finger lengths and finger widths as features. To increase the richness of the feature and to add more feature variance amongst the data set palm print features are added to it. 132 pp. Englisch. N° de réf. du vendeur 9783659435751
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chate Suhas S.Suhas Subhash Chate,pursuing PhD in Electronics & Telecommunication Engineering at Bhabha Atomic Research Centre, India.Completed Master in Technology from College of Engineering Pune in 2012. Did his Bachelor in Engi. N° de réf. du vendeur 5156088
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Biometrics is the automated method of recognizing a person based on a physiological or behavioral characteristic. Biometric authentication is gaining popularity as a more reliable alternative to password based security systems as it is relatively hard to be forgotten, stolen, or guessed. Many researchers are moving towards fusion of multiple biometrics to achieve more sophistication in the present systems. Instead of using multiple biometrics such as palm and face, fingerprint and palm; it is better to focus at a single biometric entity. While doing so use different measures while feature extraction. Such interesting modality is human palm.The palm presents rich geometrical features as well as rich texture features in terms of principle lines present on it. In this work we are using geometrical features such as finger lengths and finger widths as features. To increase the richness of the feature and to add more feature variance amongst the data set palm print features are added to it. N° de réf. du vendeur 9783659435751
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Biometrics is the automated method of recognizing a person based on a physiological or behavioral characteristic. Biometric authentication is gaining popularity as a more reliable alternative to password based security systems as it is relatively hard to be forgotten, stolen, or guessed. Many researchers are moving towards fusion of multiple biometrics to achieve more sophistication in the present systems. Instead of using multiple biometrics such as palm and face, fingerprint and palm; it is better to focus at a single biometric entity. While doing so use different measures while feature extraction. Such interesting modality is human palm.The palm presents rich geometrical features as well as rich texture features in terms of principle lines present on it. In this work we are using geometrical features such as finger lengths and finger widths as features. To increase the richness of the feature and to add more feature variance amongst the data set palm print features are added to it.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 132 pp. Englisch. N° de réf. du vendeur 9783659435751
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Taschenbuch. Etat : Neu. Human Palm:Biometric Recognition and Challenges | A fusion Methodology using Palm Print and Palm Geometry | Suhas S. Chate | Taschenbuch | 132 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659435751 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 105711565
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