Independent Component Analysis of Edge Information for Face Recognition [electronic resource] / by Kailash Jagannath Karande, Sanjay Talbar.

By:

Karande, Kailash Jagannath [author.]

Contributor(s):

Series: SpringerBriefs in Applied Sciences and TechnologyPublisher: India : Springer India : Imprint: Springer, 2014Description: XIII, 81 p. 47 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9788132215127

Subject(s):

Genre/Form:

Electronic books.

Additional physical formats: Printed edition:: No titleDDC classification:

621.382 23

LOC classification:

TK5102.9
TA1637-1638
TK7882.S65

Online resources:

Click here to access online

Contents:

Canny Edge Detection for Face Recognition using ICA -- Laplacian of Gaussian (LOG) Edge Detection for Face Recognition using ICA -- Oriented Laplacian of Gaussian (OLOG) Edge Detection for Face Recognition using ICA -- Multiscale Wavelet based Edge Detection for Face Recognition using ICA.

In: Springer eBooksSummary: 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.

Item type:

eBooks

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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.