Książka Multimodal Biometric Verification Elif Surer

Multimodal Biometric Verification

Applications That Identify

Autor: Elif Surer
Język: Angielski
Oprawa: Miękka
Dostępność: Na zamówienie
Wysyłamy za 17-27 dni
206.24
The focus of this book is on developing user §interfaces that identify and verify legitimate users §...

Informacje o książce

Autor
Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2009
strony
100
EAN
9783639147742
Enbook ID
06823341
Waga
165
Wymiary
150 x 220 x 6

Pełny opis

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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