Articles liés à Biometric Authentication: An Hybrid Face Recognition...

Biometric Authentication: An Hybrid Face Recognition System Model: A Face Recognition System using Principal Component Analysis and Feature-Based technique - Couverture souple

Kolawole John, Adebayo

 
9783659259111: Biometric Authentication: An Hybrid Face Recognition System Model: A Face Recognition System using Principal Component Analysis and Feature-Based technique
Couverture souple
ISBN 10 : 365925911X ISBN 13 : 9783659259111
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

A biometric authentication system based on face recognition is implemented and described in this work. The proposed algorithm is a combination of Principal Component Analysis (PCA) and a Feature based technique which is based on the two modalities used in face recognition i.e. The Holistic approach and Feature-based approach. PCA which was used as our mainstay algorithm, based on information theory concepts, seeks a computational model that best describes a face, by extracting the most relevant information contained in that face. With the feature based, we localized and measured some key features of the face such as the width and height of the face and the head midpoint. Based on this measurement, we generated a weight also for each image which we then combine with the weights computed from the eigenface approach. Recognition and authentication is performed by projecting a probe to the proposed system. Olivetti Research Lab (ORL) face database along with the face database we constructed (Colface face database) from images taken of fifty subjects of pure black population at varying pose and light intensities were used to test the system. A good and considerable result was achieved

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Présentation de l'éditeur

A biometric authentication system based on face recognition is implemented and described in this work. The proposed algorithm is a combination of Principal Component Analysis (PCA) and a Feature based technique which is based on the two modalities used in face recognition i.e. The Holistic approach and Feature-based approach. PCA which was used as our mainstay algorithm, based on information theory concepts, seeks a computational model that best describes a face, by extracting the most relevant information contained in that face. With the feature based, we localized and measured some key features of the face such as the width and height of the face and the head midpoint. Based on this measurement, we generated a weight also for each image which we then combine with the weights computed from the eigenface approach. Recognition and authentication is performed by projecting a probe to the proposed system. Olivetti Research Lab (ORL) face database along with the face database we constructed (Colface face database) from images taken of fifty subjects of pure black population at varying pose and light intensities were used to test the system. A good and considerable result was achieved

Biographie de l'auteur

Adebayo Kolawole John had his B.Sc (2007) and M.Sc (2011) in Computer Science from the University of Ilorin, Ilorin, Nigeria and University of Ibadan, Ibadan, Nigeria. He is currently pursuing his Ph.D. in Computer Science from the University of Ilorin, Nigeria. His research Interest includes Biometrics, Computer Security and Image Processing.

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 
365925911X
ISBN 13 
9783659259111
Reliure
Broché
Nombre de pages
96
Coordonnées du fabricant
non disponible
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