ENGLISH

Independent Component Analysis of Edge Information for Face Recognition

By Sanjay Talbar (auth.) , Kailash Jagannath Karande

Book information

Publisher
Springer India
Year
2014
ISBN
978-81-322-1511-0, 978-81-322-1512-7
DOI
10.1007/978-81-322-1512-7
Language
english
Format
PDF
Filesize
4 MB (4248609 bytes)
Series
SpringerBriefs in Applied Sciences and Technology
Edition
1
Pages
81\85
Orientation
yes
Scanned
yes
Time added
2013-10-27 04:10:58
Image and Speech Processing; Biometrics; ComputatiSignal

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.

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