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Face Recognition Using Colour Statistics: Biometric Recognition - Couverture souple

ANBARJAFARI, GHOLAMREZA; Demirel, Hasan

 
9783639247046: Face Recognition Using Colour Statistics: Biometric Recognition
Couverture souple
ISBN 10 : 3639247043 ISBN 13 : 9783639247046
Editeur : VDM Verlag Dr. Müller, 2010

Synopsis

In this book, a new high performance face recognition system based on matching the colour pixel statistics is introduced. A pre-processing phase is introduced and applied to segment faces from the background. Furthermore, a dedicated image equalization method is introduced and implemented to minimize the illumination problems of the images for further processing. The histogram of the segmented face image as pixel statistics feature is used for face recognition by cross correlating the histogram of a given face and the histograms of faces in the database. Alternatively the probability distribution functions of the images in different colour channels, together with the Kullback-Leibler Divergence/Distance (KLD) metric is also used for the recognition of faces. Majority voting (MV) and feature vector fusion (FVF) methods is briefly introduced and applied to combine feature vectors obtained from different colour channels in HSI and YCbCr colour spaces to improve recognition performance.

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

Présentation de l'éditeur

In this book, a new high performance face recognition system based on matching the colour pixel statistics is introduced. A pre-processing phase is introduced and applied to segment faces from the background. Furthermore, a dedicated image equalization method is introduced and implemented to minimize the illumination problems of the images for further processing. The histogram of the segmented face image as pixel statistics feature is used for face recognition by cross correlating the histogram of a given face and the histograms of faces in the database. Alternatively the probability distribution functions of the images in different colour channels, together with the Kullback-Leibler Divergence/Distance (KLD) metric is also used for the recognition of faces. Majority voting (MV) and feature vector fusion (FVF) methods is briefly introduced and applied to combine feature vectors obtained from different colour channels in HSI and YCbCr colour spaces to improve recognition performance.

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

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2010
Langue
anglais
ISBN 10 
3639247043
ISBN 13 
9783639247046
Reliure
Broché
Nombre de pages
80
Coordonnées du fabricant
non disponible
Personne responsable
non disponible