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Multimodal Biometric Verification

  • Couverture cartonnée
  • 100 Nombre de pages
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The focus of this book is on developing user interfaces that identify and verify legitimate users in real-time due to their biomet... Lire la suite
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Description

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.

Auteur

Elif SURER is a Ph.D student at University of Bologna, Italy. She received her BSc and MSc from Bogazici University, Turkey. Lale AKARUN has been a full professor at Computer Engineering department of Bogazici University, Turkey since 2002. Besides guiding many dissertations, she has published professional articles in refereed journals.

Informations sur le produit

Titre: Multimodal Biometric Verification
Sous-titre: Applications That Identify
Auteur:
Code EAN: 9783639147742
ISBN: 978-3-639-14774-2
Format: Couverture cartonnée
Genre: Technique
nombre de pages: 100
Poids: g
Taille: H220mm x B220mm
Année: 2009