Fingerprint Identification using Filterbank: An Advance Technique for Fingerprint Identification - Couverture souple

Khandaker, Md. Ariful Islam

 
9783848402052: Fingerprint Identification using Filterbank: An Advance Technique for Fingerprint Identification
Couverture souple
ISBN 10 : 384840205X ISBN 13 : 9783848402052
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Individual, be it a claimant or an unauthorized person, identification is one of the top challenges of the world. We know that no two individuals have similar fingerprint configuration and this configuration remains constant over the life of a human being. Fingerprint is characterized by a set of ridge lines which often flow parallel, sometimes intersect and sometimes terminate. The points where ridge lines terminate or fork are called minutiae. They can be represented by a vector whose direction is tangent to the ridge line. In this project, we study fingerprint analysis. We present a fingerprint matching scheme that utilizes a ridge feature map to match fingerprint images. The proposed scheme uses a set of 8 Gabor filters, whose spatial frequencies correspond to the average inter-ridge spacing in fingerprints, is used to capture the ridge strength at equally spaced orientations. A circular tessellation of filtered image is then used to construct the ridge feature map. The genuine accept rate of the Gabor filter based matcher is observed to be ~ 10% to 15% higher than that of minutiae-based matcher at low false accept rates.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Individual, be it a claimant or an unauthorized person, identification is one of the top challenges of the world. We know that no two individuals have similar fingerprint configuration and this configuration remains constant over the life of a human being. Fingerprint is characterized by a set of ridge lines which often flow parallel, sometimes intersect and sometimes terminate. The points where ridge lines terminate or fork are called minutiae. They can be represented by a vector whose direction is tangent to the ridge line. In this project, we study fingerprint analysis. We present a fingerprint matching scheme that utilizes a ridge feature map to match fingerprint images. The proposed scheme uses a set of 8 Gabor filters, whose spatial frequencies correspond to the average inter-ridge spacing in fingerprints, is used to capture the ridge strength at equally spaced orientations. A circular tessellation of filtered image is then used to construct the ridge feature map. The genuine accept rate of the Gabor filter based matcher is observed to be ~ 10% to 15% higher than that of minutiae-based matcher at low false accept rates.

Biographie de l'auteur

Md. Ariful Islam Khandaker obtained B.Sc Degree on Computer Science & Engineering from Khulna University of Engineering & Technology of Bangladesh and pursuing M.Sc Degree on CSE from Chittagong University of Engineering. Now he is working at International Islamic University Chittagong as Assistant Professor in CSE Department.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
384840205X
ISBN 13 
9783848402052
Reliure
Broché
Nombre de pages
72
Coordonnées du fabricant
non disponible
Personne responsable
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