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Independent Component Analysis of Edge Information for Face Recognition

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Éditeur :

Springer


Collection :

SpringerBriefs in Applied Sciences and Technology

Paru le : 2013-07-15

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Description
The book presents research work on face recognition using edge information as features for face recognition with ICA algorithms. The independent components are extracted from edge information. These independent components are used with classifiers to match the facial images for recognition purpose. In their study, authors have explored Canny and LOG edge detectors as standard edge detection methods. Oriented Laplacian of Gaussian (OLOG) method is explored to extract the edge information with different orientations of Laplacian pyramid. Multiscale wavelet model for edge detection is also proposed to extract edge information. The book provides insights for advance research work in the area of image processing and biometrics.
Pages
81 pages
Collection
SpringerBriefs in Applied Sciences and Technology
Parution
2013-07-15
Marque
Springer
EAN papier
9788132215110
EAN EPUB
9788132215127
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
2304 Ko
Prix
52,74 €

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