Independent Component Analysis of Edge Information for Face Recognition.pdf

Independent Component Analysis of Edge Information for Face Recognition

Kailash Jagannath Karande

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.

component was applied as it is defined for the largest possible variance of the data. Next, Euclidean distance was calculated for matching performance. It was observed that bit-plane 6 and 7 contributed significantly to recognition performance. Keywords: Bit-plane, Principal Component Analysis, face recognition, palm-print recognition Article

2.45 MB DATEIGRÖSSE
8132215117 ISBN
Englisch SPRACHE
Independent Component Analysis of Edge Information for Face Recognition.pdf

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