Kniha Multimodal Biometric Verification Elif Surer

Multimodal Biometric Verification

Applications That Identify

Autor: Elif Surer
Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: U nakladatele na objednávku
Odesíláme za 17-27 dnů
1 173
The focus of this book is on developing user §interfaces that identify and verify legitimate users §...

Informace o knize

Autor
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2009
Stránek
100
EAN
9783639147742
Enbook ID
06823341
Hmotnost
165
Rozměry
150 x 220 x 6

Kompletní popis

The focus of this book is on developing user §interfaces that identify and verify legitimate users §in real-time due to their biometric characteristics. §Face and hand geometry are the biometric §identifiers that are used in the applications. §Application programs using these biometric§identifiers are developed in unimodal and multimodal§cases. In this book, six Java applications are§developed to capture users' hand and face images in§real-time, to enroll, to verify and identify them.§All of the applications are designed as wizard§applications and are built upon the same scenario. In§the face recognition, Gabor jets are used to extract§feature values of the face images. Matching §the person is done according to the Gabor based §feature vectors. In the hand recognition task, hand §shape-based approach is applied on the hands. Hand §segmentation, normalization and feature extraction §are the important steps of this approach. Performance§evaluation of the system is done by both empirical§and observational methods. The focus of this book is on developing user §interfaces that identify and verify legitimate users §in real-time due to their biometric characteristics. §Face and hand geometry are the biometric §identifiers that are used in the applications. §Application programs using these biometric§identifiers are developed in unimodal and multimodal§cases. In this book, six Java applications are§developed to capture users'' hand and face images in§real-time, to enroll, to verify and identify them.§All of the applications are designed as wizard§applications and are built upon the same scenario. In§the face recognition, Gabor jets are used to extract§feature values of the face images. Matching §the person is done according to the Gabor based §feature vectors. In the hand recognition task, hand §shape-based approach is applied on the hands. Hand §segmentation, normalization and feature extraction §are the important steps of this approach. Performance§evaluation of the system is done by both empirical§and observational methods.

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