Electronic Resource

Independent Component Analysis of Edge Information for Face Recognition

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1408000690	EB0003322	006.37 KAr i	Central Library (Database Springer E-Book)	Available

Detail Information

Series Title

SpringerBriefs in Applied Sciences and Technology

Call Number

006.37 KAr i

Publisher

New Delhi : Springer New Delhi., 2013

Collation

xiii, 81p.: Ill.

Language

English

ISBN/ISSN

978-81-322-1512-7

Classification

006.37

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Image processing--Digital techniques
Human face recognition (Computer science)

Specific Detail Info

-

Statement of Responsibility

RTS

Other version/related

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