Книга Multimodal Biometric Verification Elif Surer

Multimodal Biometric Verification

Applications That Identify

Автор: Elif Surer
Език: Английски език
Корици: С меки корици
Издател: VDM Verlag Dr. Müller
Наличност: Налично при издателя, по поръчка
Изпращаме след 17-27 дни
51.02 99.79 лв
The focus of this book is on developing user §interfaces that identify and verify legitimate users §...

Информация за книгата

Автор
Език
Английски език
Корици
Книга - С меки корици
Издадена
2009
страници
100
EAN
9783639147742
Enbook ID
06823341
Издател
Теглоt
165
Размери
150 x 220 x 6

Пълно описание

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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