Independent Component Analysis of Edge Information for Face Recognition (Paperback, 2014 ed.)

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.

General

Imprint:	Springer, India, Private Ltd
Country of origin:	India
Series:	SpringerBriefs in Applied Sciences and Technology
Release date:	July 2013
First published:	2014
Authors:	Kailash Jagannath Karande • Sanjay Nilkanth Talbar
Dimensions:	235 x 155 x 5mm (L x W x T)
Format:	Paperback
Pages:	81
Edition:	2014 ed.
ISBN-13:	978-81-322-1511-0
Categories:	Books > Computing & IT > Applications of computing > Pattern recognition
LSN:	81-322-1511-7
Barcode:	9788132215110

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